Please rotate your device

for a better experience
Share and Follow   Facebook Twitter Linkedin Instagram Youtube
Privacy Terms of Use Legal Disclosure Copyright Trademark Sitemap Newsletter
Lorem
Ipsum
dolor
Lorem
Ipsum
dolor
Lorem
Ipsum
dolor
Lorem
Ipsum
dolor
Lorem
Ipsum
dolor
Lorem
Ipsum
dolor
Lorem
Ipsum
dolor
Lorem
Ipsum
dolor
Discovering SAP HANA Business Cases
Lorem ipsum dolor
Creating an intelligent enterprise requires a data management transformation. You need to be able to run the business on premise or in any cloud – acting with live intelligence, modernizing for agility, and scaling cost-effectively (see figure below).
Do you have the right solution to fuel digital transformation?
After-the-fact analysis
Data consolidation
Graph
processing
Text
processing
Spatial
processing
Relational
processing
SAP applicationsCloud and on premise
Many data copies | Segregated workloads | Multiple systems
Latency and Complexity
Real-time decisions and action
Transactions and analytics
Multimodel data processing
Minimized hardware costs with persistent memory
One data set | All workloads | One platform
Speed and Simplicity
SAP
Database Solutions for the Intelligent Enterprise
Businesses require an all-in-one, in-memory-first data solution so they can accelerate with simplicity. Solutions should help them:
Support all data – Multimodel support to natively manage structured and unstructured data
Safeguard 24x7 secure data access – Advanced high availability and disaster recovery, data security, and privacy protection features to support enterprise-class reliability
Run all workloads – In-memory-first architecture to combine advanced analytics on live data transactions
Simplify application development and management – Unified tool sets for all tasks, simpler application architectures, and lower total cost of ownership
Connect all data at speed – Memory-powered data visualization and integration for real-time performance on trusted data
SAPSAP
Benefits of Simpler Application Architectures and IT Landscapes
5 10 15 16 22 27 34 37 38 42 46 48 50 53
55%
Improved employee
productivity
10 14 19 24 27 31 33 36 38 39 42 43 47 49
50%
Improved capacity
for innovation
10 14 19 22 23 25 28 29 32 36 38 40 42 44
45%
Reduced technology
infrastructure
costs
10 14 19 22 23 25 28 29 32 36 38 42 44 46
47%
Improved analytic
efficiency
Base
107 analytics-platform and business-application decision-makers in IT or enterprise architecture at U.S. companies of more than 5,000 employees
Source: A commissioned study conducted by Forrester Consulting on behalf of SAP, July 2018
SAPSAP
Lorem ipsum dolor
Creating an intelligent enterprise requires a data management transformation. You need to feed your analytics and business processes with live, fresh data – all while controlling costs.
Old Way
Sequential data processing
After-the-fact analysis
Data consolidation
Machine learning (ML)
and predictive
processing
Analytical
processing
Text
processing
Spatial
processing
Transactional
processing
(OLTP)
Separate engines for advanced analytics (OLAP)
Data duplication
Business
data
Files
Time
IoT streams
Location data
Social media
and Web
All data from a variety of sources
The Right Way
Real-time decisions and actions by combining advanced analytics
Intelligent app
Instant situational
awareness and
action
Business
data
Files
Time
IoT streams
Location data
Social media
and Web
SAPSAP
COMPREHENSIVE ADVANCED ANALYTIC PROCESSING ON ANY DATA
By gaining real-time, in-context data analysis, you can create full situational awareness and deeper insights. When all data processing on all kinds of data happens instantly, you can see a full picture of your business. The solution should help you:
Process transactions and analytics simultaneously within the same applications (see figure on this page)
Combine advanced analytics techniques to extract contextual insights
Deliver a unified view through a single logical data model, helping you access all data
Database Solution
Transactions and Analytics
Spatial and graph
Location-based intelligence and highly connected data processing
Text and search
Natural-language processing and advanced text mining
Time series
Trend detection and forecast over recurring time intervals
Machine learning
Rapid lifecycle and real-time machine learning with prebuilt optimized algorithms
Document store
ACID (atomicity, consistency, isolation, durability) compliant, flexible management of JSON objects
Streaming
Real-time analysis and anomaly detection on streaming data
Any data source
Database management systems – Apache Hadoop – Apache Spark – Streams
SAPSAP
Lorem ipsum dolor
You’re balancing execution challenges and security concerns while still trying to adapt rapidly to changing business needs. Your technology should support innovation while helping you meet internal service-level agreements, safeguard security against data breaches, and support stringent compliance regulations (see figure below).
Business Outcome–Driven Innovation
Fast innovation
Security and privacy in data access
BUSINESS CONTENT AND ALGORITHMS
New Technology foresight
Open interfaces and tools
Develop once, deploy everywhere
Free for application development
Data security and advanced privacy protection with real-time anonymization
Ubiquitous data access and governance
Trusted expertise and best practices
Tools for developers and business users
Modern architecture to embrace new technology innovations
SAPSAP
SECURE, MODERN DATABASE
Drive business innovation by bridging opportunities, threats, and execution challenges (see figure on next page). The solution should include:
An advanced security framework that supports data masking, encryption, logging, anonymization, and authorization
Support for innovation, thanks to prepackaged algorithms for building predictive and machine learning models, business functions, and industry models
A modern architecture that allows you to get the most from your data assets, now and in the future
Open and industry standards in APIs, network protocols, containerizations, security, machine learning, app servers, and languages
SAPSAP
Modern Database Solution
Fast innovation
Security and privacy in data access
BUSINESS CONTENT AND ALGORITHMS
New Technology foresight
Elimination of barriers to innovation
  • Open standards
  • Choice of open interfaces
  • Selection of cloud platforms and services
  • Data modeling and code-generation tools
Compliance and trust
  • Comprehensive data security, advanced privacy protection, real-time anonymization
  • Enterprise-class data governance
SAP expertise
  • Ready-to-use, in-database business services
  • Optimized analytic algorithms
Technology partner ecosystem
Support for persistent memory
Early technology adoption
Blockchain integration
SAPSAP
Lorem ipsum dolor
As you plan your new data management strategy, you want to take advantage of the cloud. But what if privacy regulations limit your ability to move data off of your premises or across geographic boundaries? What if you want to embrace the cloud to extend your SAP applications but you want to keep core business processes in-house?
HYBRID AND MULTICLOUD DATABASE
You need the flexibility to mix and match your development and deployment choices – and to be able to revisit them whenever necessary. To help ensure your IT landscape serves you for the future:
Select applications that work on premise or in the cloud
Choose a cloud service without lock-in

Integrate cloud-native services, such as machine learning models
To realize cloud freedom, look for flexible development and deployment options. Applications that you can develop once and deploy everywhere help accelerate your business innovation in the cloud.
SAPSAP
Broad multi-cloud support
Application and tool compatibility across clouds and on premise
Ability to use cloud service providers’ native services
Hybrid and Multi-Cloud Database
SAP Business
Technology
Platform
Huawei
Amazon Web
Services
Google Cloud
Platform
Microsoft
Azure
Alibaba Cloud
On Premise
Google Cloud Platform
Microsoft Azure
Amazon Web Services
SAPSAP
Lorem ipsum dolor
Unleashing the power of data is the new imperative for every Chief Information Officer. SAP HANA offers an advanced database that helps enterprises:
Take timely action, running transactions and analytics in real time without latency or complexity
Read more
Enhance situational awareness, getting intelligence in real time from any data source or type
Read more
Support agility and compliance, developing new business models easily with modern technology while respecting data privacy
Read more
Accelerate cloud adoption, supporting solutions with security, provider choice, and elasticity
Read more
SAP HANA is an all-in-one data management solution that delivers advanced transactional and analytical processing. It offers one of the broadest advanced analytics solutions – securely – across hybrid and multi-cloud environments.
SAPSAP
Lorem ipsum dolor
The following features help you quickly develop new applications:
Perform hybrid transactions and advanced analytics workloads in the same application
Use built-in intuitive modeling, development tools, and application lifecycle management
Reuse packaged components, functions, and algorithms
Choose language to leverage expertise
Extend SAP applications easily and integrate with cloud microservices
Deploy the database on premise, as a hybrid model, or using multiple clouds
SAP HANA
Native application development capabilities
 App server Multilanguage and bring
your own license		 Application lifecycle management
Predictive and business
libraries
UI5 and SAP Fiori user
experience
Graphic modeler
Transactions and analytics
Multimodel data processing
Data federation
Data integration
Data quality
Any data source
DBMSs – Apache Hadoop – Apache Spark – Streams
On premise, hybrid, and multi-cloud
SAPSAP
REUSABLE SERVICES
SAP HANA offers a set of popular reusable business services that use in-memory technology.
How to Use Reusable Services
Build within the database for maximum
speed and performance
Integrate with any development
environment (SQL layer)
Solve recurring requirements
consistently and compatibly
Applications
Access
logging
Financial
functions
Currency
conversion
Hierarchies
Data versioning
and aging
Database
schema evolution
SAP S/4HANA
application
authorization
reuse
Temporal tables
JSON document
store with
SQL integration
Business Data Services
SAP HANA
SAPSAP
Lorem ipsum dolor sit amet
SAP HANA gives you the power of real-time data at your fingertips.
Why choose SAP HANA?
With SAP HANA, you can:
SAPSAP
SAP HANA CAPABILITIES SUPPORT THE INTELLIGENT ENTERPRISE
SAP applications
Independent software vendor app
Customer apps
SAP HANA
Application
development
App runtimes
Language choice
SAP UI5
Application lifecycle
management
Information modeling
Smart multi-model
processing
Spatial
Graph
Predictive
modeling
Enterprise
search
Document
store
Machine
learning
Data
virtualization
Replication
Caching
Data quality
Federation
Integration
Database management
Columnar
store
Multicore and
parallelization
Advanced
compression
Multitenancy
Multitier
storage
Data
modeling
Relational
Data
privacy
Administration
and security
High availability and
disaster recovery
All in one,
in-memory first
Transactions and
analytics
Secure and modern
Hybrid and multi-cloud
SAPSAP
Benefits FOR Your Business
SAP HANA helps you realize the following business benefits:
  • Deliver intelligent business processes, leveraging more than 100 embedded machine learning and predictive modeling algorithms
  • Provide instance situational awareness, enabling embedded real-time analytics in your applications
  • Analyze and visualize complex data types (for example, spatial and graph) with business data
  • Derive value from data while preserving privacy and trust with real-time data anonymization and security
  • Accelerate innovation with lower risk and cost, leveraging a single database for use cases and workloads
  • Reduce cloud boundaries and limits with a hybrid and multi-cloud database experience
  • Enable data scientists to leverage tools of choice with in-memory performance through native Python and R client libraries
  • Simplify database operations and optimize resource utilization for faster time to value and lower costs
Choose the Best SAP HANA Deployment Option
Explore your purchasing options and compare features to learn which SAP HANA deployment option is right for you.

Discover best practices to help ensure a successful deployment.
SAPSAP
Lorem Ipsum
SAP HANA Cloud free trial

Take the fastest path to a successful SAP HANA
implementation by exploring our flexible deployment
options, sizing tools, and installation resources.

Learn More
To find out more about SAP HANA, visit the
SAP HANA Academy site.

Bookmark this site and visit it frequently to check for new SAP HANA business cases. You can also download a PDF version.
SAP
SAP
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Database for
Next-Generation Applications
Pave the way for digital transformation
Resilient companies must find new ways to deliver innovative business solutions while reducing complexity and lowering costs. To quickly adapt to dynamic business conditions, they need real-time insights and business processes augmented with machine learning and predictive analytics.
Database for Next-Generation Applications
Challenges
  • Requirement to transform into a digital, agile, more diverse enterprise
  • Complex system landscapes and explosive data growth, inhibiting the agility to adapt to rapidly changing business requirements
  • Need to enable faster speed, greater agility, and intelligent capabilities
  • Realization of cost-effective business operations, streamlined acquisitions, and expansion of real-time reporting and self-service analytics
Database for Next-Generation Applications
Solution
  • In-memory performance
  • Built-in machine learning and predictive algorithms
  • Single solution combining different workload and data types
  • Integration of business data and other data forms from various systems
  • Advanced data compression
Database for Next-Generation Applications
Benefits
 Real-time insight to action with embedded analytics enabled by high-performance, in-memory processing
Faster, more intelligent business processes augmented with automation and intelligence
Increased situational awareness by enriching business data with IoT, spatial, and other forms of data and analyzing it in context
Improved business productivity with simpler applications
Reduced IT system landscape complexity by supporting both operational and analytical workloads on a single system
Significantly decreased data storage needs, lowering total cost of ownership
Database for Next-Generation Applications
Customer Success
Concerns
SAP does more than just preach digital transformation – we also walk the walk. For the past several years, SAP has been pursuing its own digital transformation – moving to the cloud, changing business models, and adopting intelligent technologies to get the most out of our data. A critical part of this journey has been to move our cloud offerings off legacy databases and onto SAP HANA for simplicity and speed.
Concerns
  • Use of data to deliver better customer experiences
  • Complexity of legacy ERP databases
  • Need for a vastly simplified digital core, with access to business-critical data in real time
Database for Next-Generation Applications
Customer Success
Why SAP
  • Digital core for the business, with a simplified computing environment, through SAP S/4HANA
  • Single source of truth through reunification of online transaction processing (OLTP) and online analytical processing (OLAP) systems
  • Simplified data model that supports machine learning
  • Analytics for contextual, confident decision-making with the SAP Analytics Cloud solution
Database for Next-Generation Applications
Customer Success
Value-Driven Results
Increased business agility
to respond to market forces and pivot business processes
Improved customer experiences
through personalized interactions and self-service tools
Higher business performance
using intelligent technologies and data assets to meet business goals faster and with less risk
Database for Next-Generation Applications
Dig Deeper
Read about SAP’s journey to the Intelligent Enterprise here. Find new SAP S/4HANA customer success stories online.
Related stories:
1/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Innovative Application
Development
Create intelligent applications for your
business data
Connected, agile companies interact with an entire value chain of data from partners, third-party sources, and diverse application landscapes. Businesses must find a way to enable applications to integrate data, semantics, and models across the landscape – all while remaining open to meet future business requirements.
Innovative Application Development
Challenges
  • Need for informed decision-making, with the delivery time frames and speed that the business requires
  • Threats of data security breaches and privacy protection violations, with resulting fines and loss of trust
  • Lack of intelligent automation
  • Support for innovation at the speed of business
  • Access to data and insights, everywhere and for everyone
Innovative Application Development
Solution
  • Quickly delivered applications that run on premise or in any cloud
  • Applications and analytics augmented with machine learning and predictive analytics
  • Simplified architecture supporting both transactional and analytical workloads on one instance of the data
  • Data privacy protection supported by real-time data anonymization
  • Built-in modeling and open integrations with development tools, allowing development using common languages
Innovative Application Development
Benefits
 Real-time insight and predictions on live transactions and historical data
Simplified IT landscape – with one platform and less data duplication
Faster time to value, thanks to a simplified application architecture
Lower total cost of ownership
Increased flexibility, supporting deployment on premise or fully managed on any cloud
Newly unleashed power of data without breaching trust
Innovative Application Development
Customer Success
Concerns
The San Francisco 49ers, one of the most tech-savvy and fan-focused teams in the NFL, continually seeks new ways to improve operations. The organization wanted to develop a custom software application that would provide real-time visibility into stadium operations on game day so it could make better decisions, address potential issues, and take advantage of opportunities to deliver an enhanced fan experience.
Concerns
  • Need to increase insight into game-day operations, as they are happening, throughout Levi Stadium
  • Desire to shift from reactive to proactive stadium operations, enhancing the fan experience
  • Inability to respond in the moment to issues and opportunities
Innovative Application Development
Customer Success
Why SAP
  • Custom solution developed with SAP on the team’s SAP HANA database to aggregate and report real-time information
  • Connected stadium system Executive Huddle, a sports venue system that runs on SAP Extension Suite
  • Digital boardroom suite, accessible at the stadium and on mobile devices, showing real-time visualizations from nine data sources
Innovative Application Development
Customer Success
Value-Driven Results
Enhanced ability
to address stadium issues in real time while seizing opportunities to improve the game-day experience
Reduced waiting times
for fans to enter the stadium, using analysis of ticket data and fan movement to direct fans to the appropriate gates
Identification of more than 40% of resolved issues
before the game, minimizing negative impacts on the fan experience
10% increase
in fan satisfaction in the first full season after Executive Huddle was deployed
Innovative Application Development
Dig Deeper
San Francisco 49ers video
Related stories:
2/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Extension of SAP Applications
Extend SAP applications and analytics
for your unique business
As the digital economy changes customer needs and expectations, enterprises often want to extend their SAP applications to deliver innovative new business solutions. To quickly adapt to dynamic business conditions, they need real-time insights and business processes – augmented with machine learning and predictive analytics – that can run in the cloud.
Extension of SAP Applications
Challenges
  • Inability to adjust and adapt business processes, making it difficult to meet business requirements
  • Decreased resilience and increased cost during peak and down times
  • Desire to deliver innovation with new application updates for customized solutions
  • Complex technology stack designed to meet unique business needs
  • Need to connect applications across multiple cloud providers
Extension of SAP Applications
Solution
  • Application extensions, including loosely coupled capabilities that enable simple, independent evolution
  • Highly modular software that supports agility – quickly evolving, growing, and shrinking as the business changes
  • Single solution for all workloads and all data types to tackle any business challenge
  • Simple security management through reusable security models across application and data tiers
  • Seamless and consistent user experience across applications and extensions
Extension of SAP Applications
Benefits
 Increased innovation of new solutions at the speed of business
Greater agility, with simpler application and data architectures
Faster, simpler enhancement of business processes
Enhanced ability to provide the right data to the right person in real time
IT resources that can now focus on new solutions, with a single database platform that combines database, advanced analytics, data integration, and application services
Extension of SAP Applications
Customer Success
Concerns
BASF, a German chemicals company, is in the process of transforming its business models and processes to become an intelligent enterprise. To create value along the entire customer engagement lifecycle, the company wanted to improve connectivity between BASF’s widely distributed production sites, operations, and procurement processes and its customers and suppliers.
Concerns
  • Difficulty consolidating order and customer information from various reports and spreadsheets
  • Lack of timely information about order and delivery status without engaging in time-consuming research
  • Need for a short-term solution to address a company’s customer service issues
  • Excessive workload and pressure on customer service officers (CSOs)
Extension of SAP Applications
Customer Success
Why SAP
  • Intelligently automated, data-driven solution to create transparency and empower CSOs with required information
  • Exceptional transparency, flexibility, and speed enabled by SAP HANA and SAP Business Technology Platform (SAP BTP)
  • Comprehensive custom sales order management and monitoring solution created by SAP, which connects the BASF on-premise ERP system in a sidecar scenario to the SAP HANA database
  • Customer service cockpit, which provides all relevant information on a single SAP Fiori–enabled screen
Extension of SAP Applications
Customer Success
Value-Driven Results
Enhanced ability
to manage customer and sales order data, thanks to a single, powerful, in-memory data platform that handles large data volumes in real time
Instant evaluation
of each order and whether it can be delivered as promised, with real-time alerts to CSOs
Increased ability for CSOs
to follow the order-to-cash flow and make more-informed, proactive decisions using a customer service cockpit
More time for CSOs
to focus on critical tasks and customer communication, enhancing customer service
Extension of SAP Applications
Dig Deeper
BASF blog
Related stories:
3/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Data Warehousing and
Analytics
Instantly analyze data in context
To create an intelligent enterprise that senses and responds, enterprises need to analyze transactions as they are generated and correlate diverse data. They want to extract deeper insights and predict outcomes, gathering the insights needed to steer the business to success.
Data Warehousing and Analytics
Challenges
  • Desire to achieve a deeper understanding of the business from all data
  • Enablement of informed decisions across different lines of business, from C-suite to shop floor
  • Lack of business agility or situational awareness
  • Inability to provide a single, integrated view
  • Manual, time-consuming, and error-prone efforts used to generate sales reports by assembling data from multiple sources
Data Warehousing and Analytics
Solution
  • Comprehensive, advanced analytical processing on any data with a single multimodel data solution
  • Single point of access to local and virtually connected data with advanced data integration and federation
  • Management of data of any size and the ability to connect distributed data cost-efficiently
  • Connection to machine learning capabilities, enabling predictions performed on diverse data across time and spatial dimensions
  • Integration with geospatial solutions to enrich location intelligence
  • Support for a purpose-built data warehouse solution
Data Warehousing and Analytics
Benefits
 Real-time reports with the depth and breadth of information tailored for customers and management
Better understanding of purchasing patterns, improving policies and procedures
Enhanced insight into sales, demand planning, and supplier-network planning performance
Higher productivity, efficiency, and performance of sales reps with full visibility of customer data in real time – even from mobile devices
Data Warehousing and Analytics
Customer Success
Concerns
Ferrara Candy Company, the top U.S. producer of nonchocolate confectionery, is revered by candy lovers around the world. To continue adding new life to iconic brands and develop new products, the company wanted to better understand consumer preferences and demand in the moment.
Concerns
  • Manual, time-consuming, and error-prone efforts used to generate sales reports by assembling data from multiple sources
  • Inability of sales representatives to gain insight into customer preferences and purchases – in the office or on the road
  • Lack of cutting-edge business intelligence tools needed to provide a single, integrated view of customers
Data Warehousing and Analytics
Customer Success
Why SAP
  • Native data warehouse built on SAP HANA, supporting data visualization and consolidation from a single resource
  • SAP BusinessObjects™ Business Intelligence (BI) platform, enabling real-time analysis
  • Access to huge volumes of detailed information and reports at a high rate of speed
Data Warehousing and Analytics
Customer Success
Value-Driven Results
Ability to generate reports instantly
with deep, broad information tailored for customers and management
Fine-tuned policies and procedures
resulting from a greater understanding of purchasing patterns
Increased insight
into trends such as sales, demand planning, and supplier-network planning performance
Full visibility of customer data
in real time – even from mobile devices – improving employee productivity, efficiency, and performance
Data Warehousing and Analytics
Dig Deeper
Ferrara Candy
Related stories:
4/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Internet of Things Data
Turn high-volume, high-velocity data streams into action
As the number of sensors and Internet of Things devices expands, the flow of live event information from mobile and online applications increases exponentially. In addition to adding data to a data lake, enterprises need a way to collect and act on data as it is generated.
Internet of Things Data
Challenges
  • Inability to sense and respond to data inputs in real time
  • Desire to mobilize resources in the moment
  • Need to increase business agility by automating tasks
  • Large amounts of data from new sources, which must be processed and stored
  • Massive streams of data, which require machine learning and predictive capabilities to make sense of the signal in the noise
Internet of Things Data
Solution
  • Modern database that captures, analyzes, and acts on information streaming from many sources
  • Analytical capabilities that help assess events in the context of business data and take proactive action
  • Machine learning functionality that applies real-time intelligence to streaming data
  • Smart stream capture and active event monitoring, alerting, and event-driven response
  • Integration with data lakes, including management throughout the spectrum of high-volatility to low-volatility data
Internet of Things Data
Benefits
 Enhanced ability to plan and predict with confidence
Connection of real-time events with business processes, allowing users to take action in the moment
Faster identification of emerging threats and opportunities as they happen
Increased detection of anomalies, with ability to act in real time
Integration of a large volume of historical data with fresh data for advanced analysis
Internet of Things Data
Customer Success
Concerns
Elephants, Rhinos & People (ERP) is a nonprofit founded to preserve and protect wild elephants and rhinos in Africa. These animals are being driven to extinction by poachers, who kill an average of three rhinos per day and four elephants per hour. With limited funds and workers, however, ERP needed IoT technology to increase its effectiveness.
Concerns
  • Difficulty monitoring wandering herds of at-risk animals in sensitive South African conservation areas, due to scarce funds and insufficient personnel
  • Need to keep animals away from areas where poachers are prevalent
  • Inability to collect and analyze heterogeneous data, such as herd movements and animal locations, to prevent animals from wandering into high-risk areas
Internet of Things Data
Customer Success
Why SAP
  • Ability to collect and analyze heterogeneous data from SAP and third-party systems, including data from GPS-enabled collars placed on animals to generate data about herd movement and drones to monitor animal movement
  • Transmission of drone data combined with GPS data to the cloud, with real-time analysis by SAP HANA, and delivery to rangers through a mobile app
Internet of Things Data
Customer Success
Value-Driven Results
Increased insight
into animal locations using sensor data analyzed by SAP HANA
Ability to track herds,
identify when they are near danger, and move them to safer areas
130 elephants
rescued through collaring and relocation
30 rhinos
protected from dehorning
100% reduction
in poaching incidents in drone-protected areas
Internet of Things Data
Dig Deeper
SAPPHIRE NOW details
Related stories:
5/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
  8. Dig Deeper
Intelligent Applications
Incorporate AI and machine learning into business applications
Becoming an intelligent enterprise cannot wait. Enterprises need to develop applications that act on live data streams from the IoT and take action in real time. Intelligent technologies such as AI, machine learning, predictive analytics, and geospatial analysis can help enterprises derive new insights from diverse data.
Intelligent Applications
Challenges
  • Difficulty delivering real-time situational awareness
  • Inability to enable informed decision-making in business processes
  • Desire to integrate intelligent automation into business processes
  • Need to integrate and use complex machine learning tool sets to develop intelligent applications
  • Contractual lock-in to specific cloud provider vendors
Intelligent Applications
Solution
  • Embedded machine learning, with minimal execution latency, to augment business processes
  • Popular, best-in-class algorithms (100+) within applications and analytics
  • Real-time streaming information combined with machine learning to support in-the- moment decision-making
  • Streamlined connection to machine learning capabilities in Python, R, TensorFlow, and more, enabling data scientists to leverage native machine learning capabilities directly
Intelligent Applications
Benefits
 Automated, improved business decisions made proactively, with confidence, and at scale
Enriched customer and employee experiences with automated, optimized business processes
Data-driven innovation, supported by machine learning embedded in applications and analytics, whether on premise or in the cloud
Simplified IT landscape with one solution and less data duplication for data science needs
Accelerated data science lifecycles for faster time to results
New insights discovered through applications and analytic solutions
Intelligent Applications
Customer Success
Concerns
Meteo Protect develops weather risk management solutions for the agricultural sector. To protect farmers and other businesses from the adverse effects of weather and climate on their operations, Meteo Protect wanted to offer index-based weather insurance targeted to clients’ unique risks.
Concerns
  • Lack of transparency into weather data, preventing analysis of clients’ specific conditions
  • Difficulty aggregating and analyzing vast quantities of weather data from multiple sources
  • Inability to store and update huge volumes of data in real time
Intelligent Applications
Customer Success
Why SAP
  • Assistance developing a Web-based application that allows customers to specify their precise insurance needs
  • SAP HANA used to amass and analyze data and produce real-time insurance quotes for exact specifications
  • SAP Startup Focus program, which provided solution validation
Intelligent Applications
Customer Success
Value-Driven Results
Created a new type of insurance
to meet the needs of farmers and others affected by climate change and adverse weather conditions
Enabled cost-effective pricing
and underwriting of index-based weather insurance targeted to clients’ unique weather risks, anywhere in the world
Reduced risk
to leading weather-sensitive businesses, such as Axereal, one of France’s largest grain cooperatives
Realized 12x faster data upload
for climate change–sensitive insurance
Intelligent Applications
Dig Deeper
Related stories:
6/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
  8. Dig Deeper
IT Simplification
Adopt a modern architecture that maximizes the value of data assets
Complex application architectures and IT landscapes are costly to run and often slow time to results. By bringing together all of the components necessary to develop and deploy diverse applications, enterprises can simplify their IT architecture, increase innovation agility, and lower total cost of ownership.
IT Simplification
Challenges
  • Inability to gain business value from massive volumes and a variety of data
  • Data silos across on-premise infrastructure and multiple clouds, making it difficult to provide the right data to the right people at the right time
  • Complex portfolio of IT technologies and services, increasing maintenance efforts
  • Management challenges for scaling the system, integrating it with core business applications, and migrating to the latest versions
IT Simplification
Solution
  • Flexible deployment with a fully managed database on any cloud and in multi-cloud, on-premise, and hybrid environments
  • One data management solution for all workloads, including both transactions and analytics, and all data types (multimodel)
  • Advanced data tiering capabilities that optimize cost, performance, and storage needs
  • Reduced data storage footprint with advanced data compression
  • Increased memory capacity at a lower cost with optimization for Intel Optane persistent memory
IT Simplification
Benefits
 More data processed, in real time at a lower total cost of ownership
Real-time decisions and the ability to take action in the moment
Increased cloud-vendor choice, with a multi-cloud and hybrid database platform
Accelerated innovation through a simplified IT landscape
Reduced redundancy and simplified data management
Single entry point for all data
IT Simplification
Customer Success
Concerns
Zappos, a leading online retailer, needed an agile, economically sound way to improve system performance in certain core business processes. To perform at the speed of the Internet, the company wanted to simplify its IT environment by moving to the cloud.
Concerns
  • Rapid pace of change in online retail business, requiring adaptable, scalable IT solutions
  • Slow performance and constant database tuning required to keep systems running
  • Frustrated end users and IT personnel
IT Simplification
Customer Success
Why SAP
  • Ability to move at the speed of the Internet with SAP ERP, migrated to the cloud
  • High performance, without large up-front capital expenditures or disruption of business operations, with SAP HANA on Amazon Web Services
  • Responsive database that helps the business achieve its performance goals
IT Simplification
Customer Success
Value-Driven Results
Migration to the cloud
completed in less than 24 hours
3x to 240x
improvement in query performance
Instant provisioning of Amazon Web Services instances
with scaling on demand
IT Simplification
Dig Deeper
Related stories:
7/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Workload Capacity Expansion
in the Cloud
Extend your on-premise database in the cloud
To solve new business problems quickly – such as scaling up the number of users or applying more computing power – enterprises look to cloud database management systems. Cloud solutions help you feed your analytics processes quickly, without having to provision new hardware or renegotiate contracts.
Workload Capacity Expansion inthe Cloud
Challenges
  • Fixed processing capacity of on-premise systems
  • Dynamic application workloads with varying data stream sizes
  • Potential for reduced system response times during periods of high usage
  • User frustration when peak workloads compromise performance
Workload Capacity Expansion inthe Cloud
Solution
  • Data replication from on-premise SAP HANA the SAP HANA Cloud database, which can grow and shrink depending on usage
  • Rerouting of specific application workload requests to a cloud instance during periods of peak activity
  • Distributed query activity between on-premise and cloud systems
  • Ability to add capacity to the cloud solution to run data-intense applications such as analytics, spatial processing, or machine learning without reducing on-premise performance
  • Tiering of hot, warm, and cold data with a fully integrated data lake
Workload Capacity Expansion inthe Cloud
Benefits
 Faster, more predictable system performance by spreading workloads across on-premise and cloud systems
Reduced TCO and increased flexibility by paying for peak performance only when needed
Enhanced innovation by exploring new possibilities in the cloud instead of expanding on-premise systems
Synchronized data balanced across deployments of SAP HANA in hybrid environments
Increased system responsiveness, enhancing the user experience
Workload Capacity Expansion inthe Cloud
Customer Success
Concerns
Geberit AG is a European leader in the field of sanitary products. To continue supplying the organization with a steadily increasing amount of data and to support business volume growth, Geberit wanted to expand its database capabilities into the cloud.
Concerns
  • Incorporation of data from SAP and third-party sources, using middleware solutions to access data for analysis, a time-consuming process
  • Complex process of moving data through various storage options, causing users to create multiple copies of the data
  • No single point of access for data
Workload Capacity Expansion inthe Cloud
Customer Success
Why SAP
  • Central access point for all data everywhere using SAP HANA Cloud – including third-party data sources
  • Ability to load CRM data directly to a Microsoft Azure SQL database and access this data in real time to feed analytics
  • Live connection to data within SAP Analytics Cloud, enabling access to real-time insight without moving data or creating custom integrations
Workload Capacity Expansion inthe Cloud
Customer Success
Value-Driven Results
Ability to generate reports instantly
with real-time data access from analytics applications
Minimized data sprawl
by connecting to data sources instead of collecting the data into soon-to-be-stale data marts
Simplified landscape
by extending SAP HANA on-premise artifacts into SAP HANA Cloud
Workload Capacity Expansion inthe Cloud
Dig Deeper
Geberit customer story and podcast.
Related stories:
8/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Demand Forecasting and
Supply Planning
Predict future demand for products and adjust production planning and logistics
To ensure continuous application to supply customers, while keeping stock low, it is important to be able to predict future demand and supply as accurately as possible. Intelligent technologies can help you gain the required insights into your business and adjust processes as needed.
Demand Forecasting and Supply Planning
Challenges
  • Reliable planning of production capacity, which is critical for business efficiency but hard to achieve
  • Lack of information on demand situation that can lead to overproduction or out-of-stock situations
  • Missing transparency into supply capabilities, making it impossible to handle competing customer orders
Demand Forecasting and Supply Planning
Solution
  • One common data model, with integrated data from multiple sources
  • Enriched data sources, including internal sales and planning information, market trends, weather data, and institutional information
  • Analytics technology to better understand customer challenges
  • Use of innovative technologies such as the IoT, AI, and predictive analytics to gain insights into the future demand situation
Demand Forecasting and Supply Planning
Benefits
 Optimized manufacturing processes and supply chains using intelligent data
Ensured availability of supplies, exactly when customers need them
Reduced manual effort for ordering and tracking supplies
Improved process transparency and reduced operational costs through data orchestration
Increased sales revenue using a new, data-driven inventory management solution
Demand Forecasting and Supply Planning
Customer Success
Concerns
Ottogi is one of the largest food companies in Korea, best known for its curry powder, instant noodles, and many other popular products. Since its formation in 1969, Ottogi has grown into a globally renowned brand. Forecasting demand is an essential part of the business, as it informs strategic decisions for the sales, marketing, manufacturing, and financial departments.
Concerns
  • Highly manual process putting all the essential data from the various sources needed for forecasting together
  • Data inaccuracies and out-of-date information making forecasts less valuable
  • Inaccessible and siloed data, with end users unable to derive the insights they need and share them across the organization
Demand Forecasting and Supply Planning
Customer Success
Why SAP
  • SAP BTP to provide a foundation for integrated intelligent technologies, including SAP HANA Cloud and SAP Analytics Cloud
  • Ability to analyze patterns in market share, enabling the company to develop more segmented, differentiated marketing strategies
  • Machine learning models to improve the accuracy of market share predictions
  • Intuitive dashboards to monitor and share data in real time
  • Capabilities that empower nontechnical business personnel to run analyses on SAP BTP
Demand Forecasting and Supply Planning
Customer Success
Value-Driven Results
Shortened prediction cycle
from monthly to weekly, and replaced full-day manual work with just a few clicks
Improved forecasting accuracy,
optimized the forecasting cycle, and gained the ability to generate five weeks of predictions
Shifted toward a strategic approach
based on granular insight
Provided more employees and user groups
with access to information on market share
Leveraged an architecture blueprint
that can be applied to other analytics use cases
Demand Forecasting and Supply Planning
Dig Deeper
Ottogi business transformation study
Related story:
9/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Predictive Maintenance
Run maintenance-intensive processes and machines more efficiently with predictive maintenance
In many industries, machines and processes run on a continuous 24x7 schedule. Continuous operation relies on normal operation of critical equipment, and maintenance breaks need to be planned and executed as efficiently as possible. Leveraging methodologies for advanced analytics with information from sensors and past process executions can help in achieving this.
Predictive Maintenance
Challenges
  • Continuous operation of machines and equipment, which is critical for business success and profitability
  • Unexpected failures in machines or processes that can result in decreased quality or even defective goods and disposal of whole batches of raw materials
  • Optimized planning of maintenance work, keeping production impact as low as possible
Predictive Maintenance
Solution
  • Analysis of recorded machine state and sensor data together with past production failures or outages
  • Identification of correlations and indicators in the data for probable maintenance need
  • Rolling forecast of machine and sensor behavior for a suitable time horizon
  • Proactive planning and execution of maintenance work with minimal production impact based on forecast behavior
Predictive Maintenance
Benefits
 Reduced production costs from defective goods and wasted materials
Increased business continuity with fewer unexpected outages
Improved production forecast based on reliable operation of equipment
Identification of weak spots in production lines, which allows optimization of equipment sourcing
Predictive Maintenance
Customer Success
Concerns
Motor Oil (Hellas) Corinth Refineries S.A. (Motor Oil Group) is an industry leader in crude oil refining and the sales of petroleum products across Greece and the Eastern Mediterranean region. Founded in 1970, the refinery is a complex business that includes widespread ancillary plants and fuel distribution facilities that export to more than 45 countries.
Concerns
  • Unexpected and costly shutdowns of critical refinery equipment
  • Need to enhance standard preventive maintenance processes with data-driven predictive maintenance
  • Challenge to lower maintenance costs by addressing potential problems before they occur so equipment and components can be fixed rather than replaced
Predictive Maintenance
Customer Success
Why SAP
  • Collaborative approach that included a data value workshop and a proof of concept to understand the potential use cases and business value enabled by SAP BTP
  • Successful pilot for an end-to-end process – from building predictive models for abnormal events based on sensor data to providing results through user-friendly dashboards and e-mail notifications using SAP HANA Cloud, SAP Extension Suite, and SAP Analytics Cloud – all part of SAP BTP – as well as consulting and implementation services from Accenture’s Applied Intelligence unit in Greece
Predictive Maintenance
Customer Success
Value-Driven Results
Real-time
equipment health and performance monitoring as well as the ability to predict future behavior
Sensor-level time-series forecasting
that helps predict a sensor’s behavior over the next 24 hours
Strong predictability
for abnormal events across groups of equipment
Holistic view of equipment
that provides a better understanding of what triggers events as well as overall decomposition
Deep-dive equipment analysis
that reveals hidden patterns and provides insight about how various elements and events affect each other
System that learns
from its own data so that predictions become more accurate and effective over time
Predictive Maintenance
Dig Deeper
Motor Oil Group business transformation study
10/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
Impact Analysis for
Supply Chains
Identify the consequences of potential risks in complex supply chains
Modern, globalized supply chains have evolved to highly complex constructs that hold risks that are often not easy to identify. The risks stem from the strong dependencies among each component and stakeholder in the supply chain and the potential impact each can have on the whole supply chain or specific end customers. Applying innovative tools for network and relationship analysis to these constructs can help uncover these dependencies and evaluate the potential impact.
Impact Analysis for Supply Chains
Challenges
  • Difficulty understanding and assessing the role of an individual part of a supply chain for the whole operation
  • Single outages having a critical impact on all other parts, due to complex dependencies and relationships in the supply chain
Impact Analysis for Supply Chains
Solution
  • Analyze supply chains as complex networks with all relationships and dependencies
  • Understand each single part of the supply chain and the overall impact it has on other parts or the end products
  • Perform comprehensive what-if analyses to assess various scenarios of supply chain failures
Impact Analysis for Supply Chains
Benefits
 Holistic view of the supply chain and its dependencies
Ability to identify bottlenecks and prepare for alternatives
Proactive action taken for outages in single parts before they hit the overall process
Business continuity and reliable production by reducing risks to supply chains
11/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Asset Management
Streamline, minimize, and optimize asset management in real time
To keep up with ever-changing customer demand and market needs, organizations are constantly looking for more innovative solutions to view, manage, and optimize their assets across all phases of the lifecycle. Discover how new technologies have been used to interactively query, filter, and aggregate – on demand – the data needed for forecasting, simulations, failure modeling, planning, what-if scenarios, and other processes.
Asset Management
Challenges
  • Vast amounts of spatial and maintenance data leading to slow responses to end-user queries
  • Inability to answer proactive, history-driven maintenance questions
  • Slow response, recovery, and service execution processes
  • Lack of ability to use geospatial analysis to highlight and drill into problem areas
Asset Management
Solution
  • Smart, multi-model capability in SAP HANA Cloud to process, store, and analyze spatial data and graph data
  • SAP Geographical Enablement Framework for SAP ERP application and SAP S/4HANA integration
  • Asset management application developed with SAP Web IDE for SAP HANA
Asset Management
Benefits
 Ability to visualize locations and service areas
Capacity to locate materials and capital projects
Critical customer identification
Faster response, recovery planning, and execution processes
Ability to route, navigate, and track
Asset Management
Customer Success
Concerns
Open Grid Europe (OGE) is the operator of the longest-regulated natural gas transmission network in Germany, with assets that include 27 compressor stations and 9,000 miles of pipeline. To continue to support their customers with the utmost reliability and transparency, OGE needed a central integration layer to unite its databases and provide a complete overview of all its data, whether from SAP, third-party, cloud, or on-premise sources.
Concerns
  • Unable to provide field workers and other stakeholders with a unified view of asset information
  • Siloed geospatial and business data and lack of context
  • Lack of a holistic understanding of all data
  • Large amounts of maintenance and resources needed to deploy SAP HANA on premise
Asset Management
Customer Success
Why SAP
  • Smart, multi-model capability in SAP HANA Cloud, allowing the company to analyze data transactions in real time with dynamic analytics and smoothly connect diverse data sources
  • Ability to break down data silos with SAP HANA Cloud to create a single, cloud-based integration environment that can unite SAP Web IDE and the SAP Conversational AI service with the latest geographic information system (GIS) functionality from Esri
  • First scalable deployment of SAP HANA Cloud running as an Esri geodatabase
Asset Management
Customer Success
Value-Driven Results
Quickly process and analyze
geospatial data essential to the customer’s view of performance across miles of pipelines in real time
Streamlined operations
that keep OGE fit to serve its consumers optimally
Cloud computing
that slashes the local system maintenance and software update load
Clear GIS-enabled analytics,
giving stakeholders immediate transparency into pipeline operations with little or no IT intervention
Field workers
that have solid guidance in locating pipelines and identifying maintenance and repair needs
Asset Management
Dig Deeper
Open Grid Europe SAP Innovation Award entry
Related story:
12/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Business Network Analysis
Understand the relationships and dependencies among your business partners
Today’s businesses are often based on complex partnerships with various stakeholders that act, for example, as suppliers, subcontractors, or customers. For these partnerships it is important to understand and manage the opportunities and risks they bring and have all of the relevant information available for analysis to make the right decisions. Understanding and treating master data as an interconnected business network can help to gain these insights.
Business Network Analysis
Challenges
  • Complexity of gaining full transparency in today’s interconnected business networks
  • Difficulty identifying key decision-makers, weak spots, or new opportunities
  • Cumbersome acquisition and maintenance of qualified master data on business partners
Business Network Analysis
Solution
  • Connecting relevant data across business partners to create transparency into critical partnerships and allow critical insights on risks and opportunities to be derived
  • Leveraging graph network technology that can help store and process data in its natural structure and make it easier to maintain master data
Business Network Analysis
Benefits
 Increased confidence in decision-making at a higher speed
Simplified identification of business opportunities and new leads
Connected data that allows for in-depth analysis of business networks
Improved quality of master data on business partners
Business Network Analysis
Customer Success
Concerns
Palturai GmbH is an independent startup headed by leaders of German credit bureaus. It connects businesses and enables customers to leverage data for their own businesses and gain unique and profitable insights.
Concerns
  • Information about business partners remaining siloed across the enterprise and thus concealing relationships and connections that can enhance opportunity and avoid risk
  • Complicated corporate structures requiring time-consuming research to understand and making it difficult to identify decision-makers
  • Data silos and inefficient acquisition processes creating flaws in data management, leading to outdated, incomplete, and incorrect data, including duplications
Business Network Analysis
Customer Success
Why SAP
  • Smart, multi-model capabilities in SAP HANA, including spatial data processing, predictive analytics, and text analytics and search to develop Palturai BusinessGraph, designed to reveal business and legal relationships
  • Companies seeing each business partner as part of a greater whole and applying these insights in use cases
Business Network Analysis
Customer Success
Value-Driven Results
Increased sales revenue
by discovering unused sales and up- and cross-selling potential in complex structures
Reduced costs
by eliminating expensive and time-consuming inquiries, leading to a savings of up to 50% of research costs
Gained ability
to avoid high-risk business contracts and penalties due to regulatory violations
Boosted strategic decision quality
with high-quality, trustworthy data combined with graph intelligence and smart algorithms
Improved data quality
by validating company structure and the ability to avoid duplicates and cleanse incorrect data
Derived new insights
and delivered deep analysis with unique and comprehensive algorithms within SAP HANA
Business Network Analysis
Dig Deeper
Palturai SAP Innovation Award entry
13/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Knowing Without Seeing with
SAP HANA Data Anonymization
Analyze personal sensitive business data while respecting the privacy of individuals
Business data is often personal, and its use is restricted according to numerous privacy laws and regulations. In addition to satisfying government and industry requirements, you must demonstrate to individuals that you are keeping their data secure. Anonymization of personal data for analytics or machine learning can help create value and competitive differentiation.
Knowing Without Seeing with SAP HANA Data Anonymization
Challenges
  • Legal requirements on data protection and privacy implemented in many countries
  • Increased governmental investigation into data protection breaches
  • Evolving customer interest in data protection to demonstrate digital responsibility
  • Organizations feeling the need to combine existing, new, and personal sensitive data into a single data universe to stay ahead of the competition.
Knowing Without Seeing with SAP HANA Data Anonymization
Solution
  • Real-time data anonymization using modern scientific methodologies recognized by the EU for safeguarding compliance with the General Data Protection Regulation (GDPR), such as k-anonymity, l-diversity, and differential privacy
  • Customized anonymization views
  • Anonymization reports for the data protection officer for compliance audits
  • Integration into the security framework in SAP HANA
  • Original data that remains unchanged and more secure and must not be duplicated or transferred
Knowing Without Seeing with SAP HANA Data Anonymization
Benefits
 Maximized business value of sensitive or personal data while protecting the privacy of individuals
Enabled new data-centric use cases
Unlocked increased value of data by analyzing information that was previously available but not accessible
Enabled new business models for data syndication
Showed responsibility to customers and users by protecting sensitive and confidential data
Enabled machine learning scenarios for analyzing sensitive data
Acted as a competitive differentiator for organizations
Knowing Without Seeing with SAP HANA Data Anonymization
Customer Success
Concerns
Currently, doctors and clinicians in a North American healthcare organization have almost no point of reference to understand which precondition favors which treatment and medication for COVID-19. The diagnosis and treatment of other patients can deliver critical insights to save lives. However, patient data is highly sensitive and requires special protection under data privacy laws and regulations. Patient data and information need to be anonymized to perform analytics on the data and gain insights for clinical studies, without compromising the privacy of COVID-19 patients.
Concerns
  • Clinicians with no point of reference to understand which preconditions favor which treatment and medication for COVID-19
  • Diagnosis or treatments that are patient data points and can deliver critical insights to save lives
  • Patient data being highly sensitive data and requiring special protection according to data privacy laws
Knowing Without Seeing with SAP HANA Data Anonymization
Customer Success
Why SAP
  • Anonymizing patients and information about medication and reaction to treatments, which allows them to perform analytics on live patient data in real time
  • Ability to gain insights for clinical studies without compromising data security or the personal privacy of COVID-19 patients
Knowing Without Seeing with SAP HANA Data Anonymization
Customer Success
Value-Driven Results
Targeted medication and treatments
to each individual patient
Developed a deeper understanding
of the relationship between preconditions and reactions to treatment while adhering to data protection laws
Created a shareable “database”
to fight COVID-19
14/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
Cost Control for Vast Stores
of Cloud Data
Manage storage for low-volatility data in the cloud
To lower costs, improve performance, and gain access more easily to large-scale, low-cost data that generates insights, enterprises look to integrated cloud data lakes. Cloud data lakes help you examine, access, and make data-driven decisions on low-volatility data in the cloud.
Cost Control for Vast Stores of Cloud Data
Challenges
  • Complex, time-consuming, and repetitive tasks to migrate data to the cloud
  • Lack of cleanliness and quality that can result in a data swamp
  • Expanding costs as more and more data is uploaded over time
  • Integrating into augmented analytics solutions while exposing data in the cloud data lake can be error prone
Cost Control for Vast Stores of Cloud Data
Solution
  • Data lake that begins small and grows to petabytes in size, with elastic scale, enabling capacity with cost-efficiency
  • Multitemperature data integrated to move data between hot, warm, and cold data
  • Data swamps reduced by providing a single, integrated data lake for your lines of business and individual use cases without moving data for data science uses
  • Data science applications built to fuel applications with large amounts of data and models
Cost Control for Vast Stores of Cloud Data
Benefits
 Cost control with lower-cost pricing on lower-volatility data
Access to cloud-data-lake data for smart multi-model processing such as machine learning, spatial, graph, and more
Enterprise security for data stored in the data lake
Centralized data access for governed single instances of valuable data
Cost Control for Vast Stores of Cloud Data
Customer Success
Concerns
The National Hockey League (NHL) consists of 31 member clubs. Fans naturally demand top performance from the athletes and technology to help keep games exciting. To provide coaches with up-to-the-minute insight, which helps players improve their game, the NHL needed to create a mobile application.
Concerns
  • Create a mission-critical application on a tight deadline
  • Access real-time data within seconds during the game
  • Translate all in-game hockey data from the rink to the application
  • Store over 100 years’ worth of historical statistics and merge with real-time data for fans to review
  • Enable ultrafast response times
Cost Control for Vast Stores of Cloud Data
Customer Success
Why SAP
  • Licensing flexibility as the NHL changed, enhanced, and added new services to its SAP software landscape
  • Data anonymization built directly into the database (rather than with extract, transform, load)
  • SAP Preferred Success plan, which enabled the NHL to build a success plan for the testing and deployment of the application
  • Ability to store and tier an enormous amount of generated tracking coordinates
  • One solution to analyze real-time data with spatial, graph, and machine learning capabilities
  • Integration with SAP Extension Suite and SAP HANA Cloud to bring in-game data directly to the SAP-NHL Coaching Insights mobile app
  • Integration with SAP Analytics Cloud to analyze the performance and detailed usage of the application and inform feature enhancements
  • Access to data from multiple tiers, including the SAP HANA database and the data lake
Cost Control for Vast Stores of Cloud Data
Customer Success
Value-Driven Results
Processed position coordinates
from the NHL’s puck-tracking system every 30 milliseconds
Gave events and insights
replicated to the Web site and benches every two seconds
Enabled instant analysis
of archived data, considering 30 GB per game
Stored personal information
of 20 million fans protected by a variety of data privacy regulations (for example, GDPR, Personal Information Protection and Electronic Documents Act, and California Consumer Privacy Act)
Cost Control for Vast Stores of Cloud Data
Dig Deeper
NHL business transformation study
Related stories:
15/16
  1. At a Glance
  2. Challenges
  3. Solution
  4. Benefits
  5. Customer SuccessConcerns
  6. Why SAP
  7. Value-Driven Results
  8. Dig Deeper
Migration from Legacy
Systems
Process high volumes of transactional data
Migrating from one system to another is a daunting task. That’s especially true when faced with limited resources and potential business disruptions. However, these projects don’t have to be a challenge. Cloud solutions built to be open and agile help make migration a success.
Migration from Legacy Systems
Challenges
  • Potential disruption to the business making it difficult to plan and begin migration
  • Difficulty connecting new solutions to older systems
  • Outdated technology that doesn’t harness the power of the cloud
  • Manual, labor-intensive processes needed to make the migration
Migration from Legacy Systems
Solution
  • Use a flexible environment to migrate on your own terms and timelines
  • Data virtualization to enable connections and prevent duplications
  • Power of the cloud harnessed with fully managed services
  • Built-in migration tools that help you move to SAP HANA Cloud
Migration from Legacy Systems
Benefits
 Connect your data sources, whether they’re on premise, in the cloud, SAP, or third party
Reduced TCO and increased agility through fully managed and scalable services
Flexible deployment options so you can extend on-premise investments or move completely to the cloud
Reduced complexity thanks to migration tools that remove the need for manual, time-consuming work
Migration from Legacy Systems
Customer Success
Concerns
Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology, and operations. The Accenture NewsPage application is a distribution management system for consumer goods and services, used by sales organizations all over the world. Accenture sought to modernize its NewsPage application and help clients store more data at a lower cost.
Concerns
  • Delays when using third-party analytics tools to analyze incoming transactional data, taking between 24 and 48 hours for full analysis reports to become available
  • In-memory storage costs rising over time and lacking a way to tier data for a better cost-performance ratio
  • Need to guarantee consistent high availability to clients so that performance won’t be impacted by heavy usage
Migration from Legacy Systems
Customer Success
Why SAP
  • Ability to perform analysis on live transactional data, helping users make informed business decisions without delay
  • New tiering capabilities that make tiering less expensive to store while ensuring that data remains easily accessible
  • High availability ensuring that clients experience virtually no downtime
Migration from Legacy Systems
Customer Success
Value-Driven Results
Gained insights
instantly by analyzing live transactional data
Lowered TCO
thanks to flexible data tiering options
Higher availability
by migrating to SAP HANA Cloud
Migration from Legacy Systems
Dig Deeper
Accenture customer story
Related stories:
16/16
By combining hybrid transactional and analytical processing (HTAP) on one data set (also called “translytical processing”), SAP HANA offers a way to build intelligent applications – with one solution and one data set.
Real-time data and live data are increasingly required by businesses to make accurate decisions and drive business processes. SAP HANA provides easy access for these real-time, live, and Internet of Things sources.
Advanced, in-memory analytics on live transactions
Comprehensive, advanced analytic processing on any data
Real-time performance on local and virtually connected data
SAP HANA
Transactions and analytics
Multimodel data processing
Any data source
DBMSs – Apache Hadoop – Apache Spark – Streams
SAP HANA offers powerful data security and privacy protection features. The solution helps you secure data at multiple levels and anonymize data when needed to protect your enterprise’s largest corporate asset. The database achieves the following:
 Anonymizes data in real time to protect business data without duplicating it
Incorporates SAP application security
Database with real-time anonymization
Dynamic data masking
Comprehensive encryption for data – at rest and in motion
Security authorization model reuse
SAP HANA breaks cloud boundaries and limits by allowing your business processes and data to span multi-cloud, hybrid-cloud, and
on-premise deployments.
The only distributed compute framework for querying data anywhere
Automated on-demand data processing where the data resides
Hyperspeed communication channels between compute agents
Integration with any native cloud service
By correlating location data to business data and connecting socioeconomic data of a customer to other similar households, you can uncover new business opportunities. SAP HANA processes relational, text, and geospatial data together by leveraging graph processing and machine learning algorithms. Text mining capabilities and machine learning help you perform sentiment analysis.
SAP HANA
Transactions and Analytics
Spatial and graph Time series Document store
Text and search Machine learning Streaming