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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 |
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Process transactions and analytics simultaneously within the same applications (see figure on this page) |
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Combine advanced analytics techniques to extract contextual insights |
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Deliver a unified view through a single logical data model, helping you access all data |
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Open interfaces and tools |
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Develop once, deploy everywhere |
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Free for application development |
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Data security and advanced privacy protection with real-time anonymization |
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Ubiquitous data access and governance |
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Trusted expertise and best practices |
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Tools for developers and business users |
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Modern architecture to embrace new technology innovations |
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Support for persistent memory
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Blockchain integration |
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App server | ![]() |
Multilanguage and bring your own license |
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Application lifecycle management |
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Predictive and business libraries |
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UI5 and SAP Fiori user experience |
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Graphic modeler |
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On premise, hybrid, and multi-cloud | ![]() |
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Real-time insight to action with embedded analytics enabled by high-performance, in-memory processing |
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Faster, more intelligent business processes augmented with automation and intelligence |
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Increased situational awareness by enriching business data with IoT, spatial, and other forms of data and analyzing it in context |
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Improved business productivity with simpler applications |
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Reduced IT system landscape complexity by supporting both operational and analytical workloads on a single system |
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Significantly decreased data storage needs, lowering total cost of ownership |
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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 |
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Real-time insight and predictions on live transactions and historical data |
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Simplified IT landscape – with one platform and less data duplication |
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Faster time to value, thanks to a simplified application architecture |
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Lower total cost of ownership |
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Increased flexibility, supporting deployment on premise or fully managed on any cloud |
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Newly unleashed power of data without breaching trust |
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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 |
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Increased innovation of new solutions at the speed of business |
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Greater agility, with simpler application and data architectures |
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Faster, simpler enhancement of business processes |
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Enhanced ability to provide the right data to the right person in real time |
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IT resources that can now focus on new solutions, with a single database platform that combines database, advanced analytics, data integration, and application services |
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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 |
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Real-time reports with the depth and breadth of information tailored for customers and management |
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Better understanding of purchasing patterns, improving policies and procedures |
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Enhanced insight into sales, demand planning, and supplier-network planning performance |
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Higher productivity, efficiency, and performance of sales reps with full visibility of customer data in real time – even from mobile devices |
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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 |
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Enhanced ability to plan and predict with confidence |
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Connection of real-time events with business processes, allowing users to take action in the moment |
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Faster identification of emerging threats and opportunities as they happen |
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Increased detection of anomalies, with ability to act in real time |
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Integration of a large volume of historical data with fresh data for advanced analysis |
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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 |
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Automated, improved business decisions made proactively, with confidence, and at scale |
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Enriched customer and employee experiences with automated, optimized business processes |
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Data-driven innovation, supported by machine learning embedded in applications and analytics, whether on premise or in the cloud |
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Simplified IT landscape with one solution and less data duplication for data science needs |
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Accelerated data science lifecycles for faster time to results |
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New insights discovered through applications and analytic solutions |
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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 |
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More data processed, in real time at a lower total cost of ownership |
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Real-time decisions and the ability to take action in the moment |
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Increased cloud-vendor choice, with a multi-cloud and hybrid database platform |
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Accelerated innovation through a simplified IT landscape |
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Reduced redundancy and simplified data management |
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Single entry point for all data |
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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 |
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Faster, more predictable system performance by spreading workloads across on-premise and cloud systems |
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Reduced TCO and increased flexibility by paying for peak performance only when needed |
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Enhanced innovation by exploring new possibilities in the cloud instead of expanding on-premise systems |
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Synchronized data balanced across deployments of SAP HANA in hybrid environments |
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Increased system responsiveness, enhancing the user experience |
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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 |
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Optimized manufacturing processes and supply chains using intelligent data |
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Ensured availability of supplies, exactly when customers need them |
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Reduced manual effort for ordering and tracking supplies |
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Improved process transparency and reduced operational costs through data orchestration |
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Increased sales revenue using a new, data-driven inventory management solution |
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Shortened prediction cyclefrom monthly to weekly, and replaced full-day manual work with just a few clicks |
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Improved forecasting accuracy,optimized the forecasting cycle, and gained the ability to generate five weeks of predictions |
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Shifted toward a strategic approachbased on granular insight |
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Provided more employees and user groupswith access to information on market share |
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Leveraged an architecture blueprintthat can be applied to other analytics use cases |
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Reduced production costs from defective goods and wasted materials |
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Increased business continuity with fewer unexpected outages |
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Improved production forecast based on reliable operation of equipment |
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Identification of weak spots in production lines, which allows optimization of equipment sourcing |
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Real-timeequipment health and performance monitoring as well as the ability to predict future behavior |
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Sensor-level time-series forecastingthat helps predict a sensor’s behavior over the next 24 hours |
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Strong predictabilityfor abnormal events across groups of equipment |
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Holistic view of equipmentthat provides a better understanding of what triggers events as well as overall decomposition |
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Deep-dive equipment analysisthat reveals hidden patterns and provides insight about how various elements and events affect each other |
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System that learnsfrom its own data so that predictions become more accurate and effective over time |
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Holistic view of the supply chain and its dependencies |
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Ability to identify bottlenecks and prepare for alternatives |
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Proactive action taken for outages in single parts before they hit the overall process |
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Business continuity and reliable production by reducing risks to supply chains |
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Ability to visualize locations and service areas |
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Capacity to locate materials and capital projects |
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Critical customer identification |
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Faster response, recovery planning, and execution processes |
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Ability to route, navigate, and track |
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Quickly process and analyzegeospatial data essential to the customer’s view of performance across miles of pipelines in real time |
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Streamlined operationsthat keep OGE fit to serve its consumers optimally |
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Cloud computingthat slashes the local system maintenance and software update load |
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Clear GIS-enabled analytics,giving stakeholders immediate transparency into pipeline operations with little or no IT intervention |
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Field workersthat have solid guidance in locating pipelines and identifying maintenance and repair needs |
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Increased confidence in decision-making at a higher speed |
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Simplified identification of business opportunities and new leads |
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Connected data that allows for in-depth analysis of business networks |
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Improved quality of master data on business partners |
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Increased sales revenueby discovering unused sales and up- and cross-selling potential in complex structures |
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Reduced costsby eliminating expensive and time-consuming inquiries, leading to a savings of up to 50% of research costs |
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Gained abilityto avoid high-risk business contracts and penalties due to regulatory violations |
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Boosted strategic decision qualitywith high-quality, trustworthy data combined with graph intelligence and smart algorithms |
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Improved data qualityby validating company structure and the ability to avoid duplicates and cleanse incorrect data |
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Derived new insightsand delivered deep analysis with unique and comprehensive algorithms within SAP HANA |
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Maximized business value of sensitive or personal data while protecting the privacy of individuals |
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Enabled new data-centric use cases |
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Unlocked increased value of data by analyzing information that was previously available but not accessible |
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Enabled new business models for data syndication |
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Showed responsibility to customers and users by protecting sensitive and confidential data |
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Enabled machine learning scenarios for analyzing sensitive data |
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Acted as a competitive differentiator for organizations |
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Targeted medication and treatmentsto each individual patient |
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Developed a deeper understandingof the relationship between preconditions and reactions to treatment while adhering to data protection laws |
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Created a shareable “database”to fight COVID-19 |
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Cost control with lower-cost pricing on lower-volatility data |
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Access to cloud-data-lake data for smart multi-model processing such as machine learning, spatial, graph, and more |
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Enterprise security for data stored in the data lake |
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Centralized data access for governed single instances of valuable data |
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Processed position coordinatesfrom the NHL’s puck-tracking system every 30 milliseconds |
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Gave events and insightsreplicated to the Web site and benches every two seconds |
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Enabled instant analysisof archived data, considering 30 GB per game |
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Stored personal informationof 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) |
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Connect your data sources, whether they’re on premise, in the cloud, SAP, or third party |
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Reduced TCO and increased agility through fully managed and scalable services |
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Flexible deployment options so you can extend on-premise investments or move completely to the cloud |
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Reduced complexity thanks to migration tools that remove the need for manual, time-consuming work |
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Gained insightsinstantly by analyzing live transactional data |
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Lowered TCOthanks to flexible data tiering options |
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Higher availabilityby migrating to SAP HANA Cloud |
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Anonymizes data in real time to protect business data without duplicating it |
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Incorporates SAP application security |
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Time series | ![]() |
Document store |
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Text and search | ![]() |
Machine learning | ![]() |
Streaming |