Minimized hardware costs with persistent memory |
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 |
Process transactions and analytics simultaneously within the same applications (See Figure) | |
Combine advanced analytics techniques to extract contextual insights | |
Deliver a unified view through a single logical data model, helping you access all data |
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 |
Technology partner ecosystem
Support for persistent memory
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Early technology adoption
Blockchain integration |
App server | Multilanguage and bring your own license |
App lifecycle management | |||
Predictive and business libraries |
UI5 and SAP Fiori user experience |
Graphic modeler |
On premise, hybrid, and multi-cloud |
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 |
Increased business agilityto respond to market forces and pivot business processes |
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Improved customer experiencesthrough personalized interactions and self-service tools |
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Higher business performanceusing intelligent technologies and data assets to meet business goals faster and with less risk |
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 |
Enhanced abilityto address stadium issues in real time while seizing opportunities to improve the game-day experience |
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Reduced waiting timesfor fans to enter the stadium, using analysis of ticket data and fan movement to direct fans to the appropriate gates |
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Identification of more than 40% of resolved issuesbefore the game, minimizing negative impacts on the fan experience |
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10% increasein fan satisfaction in the first full season after Executive Huddle was deployed |
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 |
Enhanced abilityto manage customer and sales order data, thanks to a single, powerful, in-memory data platform that handles large data volumes in real time |
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Instant evaluationof each order and whether it can be delivered as promised, with real-time alerts to CSOs |
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Increased ability for CSOsto follow the order-to-cash flow and make more-informed, proactive decisions using a customer service cockpit |
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More time for CSOsto focus on critical tasks and customer communication, enhancing customer service |
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 |
Ability to generate reports instantlywith deep, broad information tailored for customers and management |
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Fine-tuned policies and proceduresresulting from a greater understanding of purchasing patterns |
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Increased insightinto trends such as sales, demand planning, and supplier-network planning performance |
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Full visibility of customer datain real time – even from mobile devices – improving employee productivity, efficiency, and performance |
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 |
Increased insightinto animal locations using sensor data analyzed by SAP HANA |
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Ability to track herds,identify when they are near danger, and move them to safer areas |
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130 elephantsrescued through collaring and relocation |
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30 rhinosprotected from dehorning |
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100% reductionin poaching incidents in drone-protected areas |
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 | |
Simplified IT landscape with one platform 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 |
Created a new type of insuranceto meet the needs of farmers and others affected by climate change and adverse weather conditions |
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Enabled cost-effective pricingand underwriting of index-based weather insurance targeted to clients’ unique weather risks, anywhere in the world |
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Reduced riskto leading weather-sensitive businesses, such as Axereal, one of France’s largest grain cooperatives |
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Realized 12x faster data uploadfor climate change–sensitive insurance |
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 |
Migration to the cloudcompleted in less than 24 hours |
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3x to 240ximprovement in query performance |
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Instant provisioning of Amazon Web Services instanceswith scaling on demand |
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 |
Ability to generate reports instantlywith real-time data access from analytics applications |
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Minimized data sprawlby connecting to data sources instead of collecting the data into soon-to-be-stale data marts |
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Simplified landscapeby extending SAP HANA on-premise artifacts into SAP HANA Cloud |
Anonymizes data in real time to protect business data without duplicating it | |
Incorporates SAP application security |
Spatial and graph | Time series | Document store | |||
Text and search | Machine learning | Streaming |