Traditional Business | Optimized by SAP S/4HANA | ||
Mass market | Personalized, smart products and services | ||
Equipment based | Service driven | ||
Disconnected | Consumer-direct, connected channels | ||
OEM only | Recognized brands | ||
Efficiency oriented | Resilient and continuous | ||
Point to point | Multienterprise orchestration | ||
Reactive | Proactive end to end |
Reduce the scope, complexity, and total cost of migration |
Decrease enterprise data on SAP HANA, lowering costs for hardware and hosting in the cloud as well as backup |
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Eliminate unnecessary time, cost, and resources for maintaining redundant systems |
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Implement secure, easily accessible content archiving |
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Adopt a flexible, automated approach to information lifecycle management |
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Achieve a smaller IT footprint while ensuring ongoing regulatory compliance |
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Lower operational and compliance risk |
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Gain valuable early experience using the new SAP S/4HANA environment prior to migration |
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Increase the efficiency and speed of data migration |
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Reduce project risk and cost | Establish one global instance of key master data objects with data standards |
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Deliver on transformation goals of accurate, real-time insights across key data domains |
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Enable a successful migration, with a comprehensive and careful migration plan |
Avoid costly delays, project overruns that would divert resources from other projects, higher unbudgeted costs, and lost ROI |
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Improve quality of business- ready data |
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Reduce risk through strong data validation, workflows, and audit trails |
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Inform migration teams and executives through dashboard metrics |
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Achieve predictable and accelerated live launches |
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Achieve a smooth migration, with better management of data and content |
Reduce document storage and discovery costs |
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Mitigate legal and regulatory risk |
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Digitalize processes | ||
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Allow content access within process steps |
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Improve collaboration and process efficiency |
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Enable linking of transactional data with associated unstructured content |
Create a single source of data truth about enterprise data assets |
Minimize data landscape complexity and administrative overhead |
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Drive new levels of data quality needed for machine learning scenarios |
Improve security and enforce governance with business rules |
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Generate more insights from larger, more diverse data sets (including dark data) |
Build a foundation for becoming a data-driven enterprise |
Exponential growth in data volume and increasingly diverse data sources | |
Siloed data trapped in applications, databases, and cloud platforms | |
Poor data quality, leading to incorrect decision-making, weakened competitive standing, and customer distrust | |
Difficulties harnessing the power of data and making sense of it |
Access data for a broader perspective, gain contextual insight, and unlock value | Achieve excellence in data management, improve decision-making, and increase operational efficiency | |||
Connect data to discover insights using intuitive tools to integrate operational, analytical, machine-generated, and geographic data sources |
Transition data management to the cloud at your own pace | Weave a comprehensive tapestry of data fabric that extends across hybrid landscapes | |||
Safeguard past investments by reusing existing assets | Modernize your data landscape without disruption | |||
Achieve the elasticity and agility enabled by cloud data access |
Overcome the problems of data landscape silos and complexity to create a single source of truth for enterprise data | |
Increase trust in data and drive the insight needed to make faster, impactful business decisions | |
Leverage existing on-premise investments while modernizing data management in the cloud |