SAP Big Data Strategy
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Presentation on SAP Big Data Strategy at Partner Summit this week in Bangalore India
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SAP Big Data Strategy
- 1. SAP Big Data Atul Patel, Vice President, SAP Analytics, SAP APJ: T:Atul_SAP December, 2013 atul.patel@sap.com
- 2. BIG DATA REAL TIME PREDICTIVE © 2013 SAP AG or an SAP affiliate company. All rights reserved. 2
- 3. Big Data = Big Opportunity Data is the new oil driving business opportunity Big Data” has moved from discovery to mainstream 1st BDaaS expected in APJ in 2014 Public Sector; Utilities; Manufacturing; Retail; Banking; Telco; Consumer Partners are key to success – SIs, ISVs, Distribution, Hardware India Big Data Industry to grow to 1B USD by 2015 at CAGR of 83% 2012-2015 Big Data Industry getting traction in India w Analytics Service Providers offering Business Centric Solution India has advantage of strong skill base for Big Data vis-à-vis other geography ©Source: Nasscom an SAP affiliate company. All rights reserved. 2013 SAP AG or Big Data Report India http://www.nasscom.in/sites/default/files/researchreports/softcopy/Big%20Data%20Report%202012.pdf 3
- 4. Big Data Examples Instantly predict market trends and customer needs Provide exactly the right offers and service levels to every customer Predict how market price volatility will impact your production plans Have a continuously-updated window into future sales, showing changes in real time See changes in demand or supply across your entire Supply Chain immediately Understand what your customers and potential customers are saying about you, right now Monitor and analyze all deviations and quality issues in your production process Predict cash flows to manage collections, risk and short-term borrowing in real time 4
- 5. But most organizations are not addressing this opportunity… Traditional financial metrics are backward looking $2 Billion Annual revenue increase made possible if the Fortune 1000 business increased the usability of its data by just 10% Use Analytics Today 10% 75% Need Analytics by 2020 Nucleus Research, Gartner, Fortune Magazine © 2013 SAP AG or an SAP affiliate company. All rights reserved. Most Established KPIs are “Backward Looking” 5
- 6. Also traditional IT architectures are pressured …driving new solutions such as Hadoop 2.8 ZB in 2012 85% from New Data Types 15x Machine Data by 2020 New Sources (Sentiment, Clickstream, Geo, Sensor) Ref: Hortonworks 40 ZB by 2020 6
- 7. Why? Information processing has become too complex Point optimization is not enough 7
- 8. Why SAP for big data?
- 9. SAP makes Big Data Actionable Big Data Platform Big Data Analytics & Apps Big Data Science Real Time Real Value Real Results 10
- 10. Big Data success demands full coverage Answer complex questions on granular data Predict the best next action Deep Massive data scale Many data types Broad Real-time streams of data Ask a question, get an immediate answer Accessible Real Time Simple On any device or to any user Self service and intuitive interactions No data preparation No pre-aggregates No tuning 11
- 11. Big Data is Strategic to SAP (eg: Acquisitions) …revolutionizing the way companies use predictive analytics to make better decisions on petabytes of data. …KXEN complements existing advanced analytics from SAP including SAP Predictive Analysis. 12
- 12. Big Data is Strategic to SAP (eg: Partners) http://hortonworks.com/partner/sap/ http://hadoop.intel.com/videos/idh-sap-hana-story 13
- 13. SAP transforms both Businesses and IT Reduce waste & fraud in government fund <2 min for detecting 100,000 names over 90M records Sharpen marketing effectiveness 56x faster reporting: micro-targeted customer offers Identify cancer DNA variants for treatment 216x faster results: 3 days 20 minutes Accelerate monthly close & spending insight 75% reduction in CRM query ~23 to 6 seconds Improve diagnostic through pattern detection 300M records; analysis in 2-10 seconds Predict customer purchase sentiment Seasonality Analysis in 5 seconds Improve labor utilization 1131x faster reporting time “Perfect order” experience 60x faster real-time insights Launch new products or markets 400x faster report execution: Forecast sales-trends in real-time Remote roadside diagnostics in real-time Analyze 15 years 1 TB data in seconds Deeper customer relationships 360 customer view and comprehensive experience 14
- 14. SAP HANA Data Platform for Big Data to unleash real-time business value Consume Store & Process Ingest 15
- 15. Big Data Applications Make Big Data insights actionable via industry specific, business focused applications from SAP and companies in the SAP Startup Focus program. :-) Audience Discovery (CEI) Account Intelligence (CEI) Customer Value Intelligence (CEI) Fraud Management Social Contact Intelligence (CEI) Demand Signal Management Sentiment Intelligence (RDS) Manufacturing (Operational Intelligence) Manufacturing (Responsive Manufacturing) 16
- 16. Big Data Applications (eg: CEI) Strategic and Effective Selling Account Intelligence Personalized Treatment Real Time Customer Insights Customer Value Intelligence Customer Engagement Intelligence 17
- 17. Big Data Applications (eg: DSiM) SAP Demand Signal Management is the enterprise platform for integrating all relevant demand signals (internal and external) to a single source of truth. . 18
- 18. SAP Data Scientists Top (PhD) level global team. Science teams in Scottsdale, Walldorf and Bucharest. Credibility attained by working with >100 customers and creating some of the most sophisticated use cases Pioneers in demand science, with significant reusable IP and deep analytic competencies Insights and Compliance Mathematical Modeling, Forecasting, Simulation, and Optimization Experts in relevant SAP Technology: HANA, SAP Business Objects, SAP Predictive Analysis, Visualization Flexible delivery + PAL and R integration SAP HANA Platform and beyond f ( x) e (x ) 2 /( 2 ) 2 + 2 Data Science SAP Predictive Analysis Dashboards SAP Business Objects 19
- 19. Predictive Success With Over 500 Customers Telecom Finance Retail e-Business MSP Public Sector Media Energy & Mfg © 2013 SAP AG or an SAP affiliate company. All rights reserved. 20
- 20. KXEN Integration Why KXEN? Serve the Business User Lower the Barrier for Predictive Modeling Expanded and Accelerated Predictive Capabilities Market Credibility The Predictive market has struggled and continues to struggle due to a shortage of skilled data scientists/analysts to perform predictive modeling. KXEN‟s technology will enable SAP to significantly enhance a number of its existing applications by adding powerful, intuitive predictive capabilities. KXEN‟s solution automation approach will enable SAP to accelerate its foothold into the Predictive market and enhance SAP‟s PA market credibility KXEN has taken a solution approach that allows business users in LoBs to solve common Predictive problems without the need for highly skilled data scientists. 60- 70% of the effort in the predictive process is dedicated to the creation of properly formed Analytic Data Sets. KXEN provides an entire module (Explorer) to enable users to easily create reusable analytic data sets. Sold to over 500+ customers Proven success with impressive references 4th in market share behind SAS, IBM/SPSS and MSFT KXEN adds model management and social network analysis to SAP‟s portfolio © 2013 SAP AG or an SAP affiliate company. All rights reserved. 21
- 21. Solutions for the entire spectrum of Users Data Scientist Low Business Analysts # of Users Medium Industry & Business Process Analytics Business Users & LOB High Embedded Analytics Low Medium High Level of Skillset © 2013 SAP AG or an SAP affiliate company. All rights reserved. 22
- 22. Run, Grow and Transform the Business – Industry Use Cases * SAP existing assets Financial Services Telecom Retail E-Business CPG Manufacturing – Risk – Fraud – Operations – Supply – Chain •Customer Loyalty Analysis •Pricing Optimization •Product Launch Success •Brand Sentiment & Sales Analytics •Product Launch Success •Brand Sentiment & Sales Analytics •Regional Forecasting •Brand Sentiment & Sales Analytics •Next Best Activity •Cross Sell/Upsell •Churn Reduction Customer Segmentation Brand Sentiment & Sales Analytics •Brand Sentiment & Sales Analytics •Credit Scoring •Compliance •Credit Scoring •Compliance •Credit Scoring •Compliance •Retail Outlier •Credit Scoring •Compliance •Credit Scoring •Compliance •Predictive Asset Maintenance •Fraud Management & Prevention •Optimizing Product Quality •Fraud Management & Prevention •Optimizing Product Quality •Fraud Management & Prevention •Optimizing Product Quality •Fraud Management & Prevention •Optimizing Product Quality •Tax Fraud •Credit Card Fraud •Insurance Fraud •Fraud Management & Prevention •Optimizing Product Quality •KPI Forecasting •Anomaly detection •Usage forecasting – CRM •Next Best Activity •Cross Sell/Upsell •Churn Reduction •Brand Sentiment & Sales Analytics •KPI Forecasting •Anomaly detection •Usage forecasting •Store Segmentation •In-store Workforce Optimization •Size and Zone Optimization •Market Share Prediction •KPI Forecasting •Anomaly detection •Usage forecasting •KPI Forecasting •Anomaly detection •Usage forecasting •KPI Forecasting •Anomaly detection •Usage forecasting •KPI Forecasting •Anomaly detection •Usage forecasting •Variable Margin Analysis •Yield Management •Equipment Effectiveness •Out of Stock Prediction •Inventory and Logistics Planning •Out of Stock Prediction •Inventory and Logistics Planning •Out of Stock Prediction •Inventory and Logistics Planning •Predictive Commodity Management •Improving Demand Planning and Inventory Management
- 24. SAP HANA Driving Sales & Ecosystem Expansion Defining the next generation database platform Triple Digit Growth $300m Services $200m Hardware Reselling & Incentives 650+ New Startups Cloud & Hosting © 2013 SAP AG or an SAP affiliate company. All rights reserved. 25
- 25. SAP HANA: Predictive & Machine Learning Provide Business Analysts with sophisticated algorithms to take the next step in understanding their business and modeling outcomes. Perform statistical analysis on your data to understand trends and detect outliers in your business. Build models and apply to scenarios to forecast potential future outcomes Combine, manipulate and enrich data to apply it to your business scenarios. Self-service visualizations and analytics to tell your story SAP HANA platform converges Database, Data Processing and Application Platform capabilities & provides Libraries for predictive, planning, text, spatial, and business analytics so businesses can operate in real-time. 26
- 26. SAP HANA: Text Analysis for Big Data File Filtering Unlock text from binary documents Ability to extract and process unstructured text data from various file formats (txt, html, xml, pdf, doc, ppt, xls, rtf, msg) Load binary, flat, and other documents directly into HANA for native text search and analysis SAP HANA Text & Sentiment Analysis Native Text Analysis Give structure to unstructured textual content Expose linguistic markup for text mining uses Classify entities (people, companies, things, etc.) Identify domain facts (sentiments, topics, requests, etc.) Analyze Search Predict Supports up to 31 languages for linguistic markup and extraction dictionary and 11 languages for predefined core extractions 27
- 27. SAP IQ: Market Leader for Extreme EDW 2200+ customers with over 4500+ installations worldwide Used by twice as many companies as the next leading provider Patented data compression dramatically reduces data storage requirement; cuts TCO Only column-based solution to support full text search, in-database analytics, and federated analytics High performance analytics server Columnar RDBMS (stores data in columnsversus rows – extended storage for HANA) Optimized for managing and accessing massive amounts of data for analytics (vs transactions) Accelerates analytics and reporting Up to 1000-times faster than traditional transactional databases Handles structured and unstructured data High compression and low TCO Highly scalable grid architecture Warm Big Data; Near real time loading and querying needs; Open/Commodity Hardware; Hundreds of Terabytes to Petascale; Leverage current HW investments in commodity hardware (Windows, Unix, RedHat); NLS for SAP HANA, Deep Hadoop Integration 28
- 28. SAP IQ: Integration with Hadoop Client-side federation: Join data from SAP IQ and Hadoop at a client-application level ETL Load Hadoop data into SAP IQ: Extract, transform, and load data from Hadoop distributed file system (HDFS) into schemas of SAP IQ via SAP Data Services Join HDFS data with data of SAP IQ on the fly: Fetch and join subsets of HDFS data on demand, using SQL queries from SAP IQ (data federation technique) Combine results of Hadoop MR jobs with SAP IQ data on the fly: Initiate and join results of Hadoop MapReduce (MR) jobs ondemand using SQL queries from SAP IQ data (query federation technique) 29
- 29. SAP Lumira: Visualizing Big Data unleash analyst creativity Provides the freedom to understand your data, personalize it, and create beautiful content Self Service for Analysts Download and install on your desktop in less than 5 minutes Insight from many data sources Combine, manipulate and enrich data to apply it to your business scenarios Self-service visualizations and analytics to tell your story Optimized for SAP HANA for real-time on detailed data 30
- 30. SAP ESP: Streaming Big Data Analyse and act on events as they happen – by relying on real-time event-driven analytics. With our award-winning complex event processing (CEP) platform, you can develop and deploy business-critical applications that give you the agility you need to make quick, profitable decisions. Process and analyse multiple streams of highspeed, high-volume complex event data in real time Get actionable information from event streams and generate alerts for events needing quick action Initiate automatic responses to changing conditions based on one or a combination of events Develop applications quickly for fast ROI with the high-performance CEP engine 31
- 31. SAP Business Objects: Analysing Big Data Interactive Reporting Dashboards & Visualization Reporting Analysis BI Platform Search & Exploration Semantic Layer 32
- 32. SAP InfiniteInsight: Using Big Data end user predictive analytics Revolutionizing the way companies use predictive analytics to make better decisions on petabytes of data. Predictive analytics‟ first-ever semantic layer Automates the building of sophisticated predictive models for every data mining function. With clicks, not code, InfiniteInsight Scorer can deploy optimized scoring equations End-to-end social network analysis capabilities Powerful visualization capabilities and graph exploration 33
- 33. SAP Mobile Platform: Mobile Big Data Rapidly design cost-effective, innovative apps with the most open and standards-based mobile application development platform Simplify IT with integrated device connectivity and management, data analysis, and business processes Inspire loyalty and reduce support costs by offering intuitive, user-centric apps – faster Engage users in a direct, two-way conversation with apps that work on any mobile device Improve operations by giving employees and partners anytime, anywhere access to mission-critical applications 34
- 34. SAP Big Data Bundles Integrated stack, flexible bundles, customizable to meet customer requirements and data footprint sizes, purchased by the edition, added to as needed, or purchased a la carte, including all relevant Big Data technologies & services SAP HANA platform SAP IQ Hadoop distribution from Intel or Hortonworks Data procurement via Data Services and stream processing via SAP Event Stream Processor (ESP) Advanced Analytics PA/KXEN & Visualization (BI 4.1/Lumira) Data Science services Big Data specific Industry/LoB applications & solutions 35
- 35. Sales Triggers Compelling events that create opportunity for SAP Big Data? Customers driving competitive advantage through “Innovation Agenda” Exponential data growth based on business change (acquisitions, new business models (value chain extension, social media marketing, ….) New business application requirements / Issues with SLA‟s ERP consolidation EDW reconsideration / „Burning‟ EDW platforms, disruptive “change” events Outsourcing / In-sourcing of IT operations / Data center moves Depreciated infrastructure / hardware refresh (good for SoH/BWoH) Customers wanting to get away from competitive platforms © 2013 SAP AG or an SAP affiliate company. All rights reserved. 36
- 36. Pricing & Deployment Models How do I sell HANA? Runtime % of Apps HANA Edge €xxk / unit HANA EE €xxxk / unit AWS Cloud 0.99c / hr HEC IAAS Partner Clouds OEM Bundles ISV Runtime VAD Resellers © 2013 SAP AG or an SAP affiliate company. All rights reserved. 37
- 37. Next step Business scenario recommendation and value discovery workshop SAP offers a proven methodology and approach to discover the customer specific business improvement areas and quantify value potential Value Discovery workshop with your LOB and IT experts to develop a strategy and roadmap for Big Data 38
- 39. © 2013 SAP AG or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP AG and its affiliated companies ("SAP Group") for informational purposes only, without representation or warranty of any kind, and SAP Group shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP Group products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and other countries. Please see http://www.sap.com/corporate-en/legal/copyright/index.epx#trademark for additional trademark information and notices. © 2013 SAP AG or an SAP affiliate company. All rights reserved. 40
Notas del editor
- BIG DATA / REAL TIME / PREDICTIVEIt’s NOT JUST about big data!Do you think this guy trying to cross the street would trust data from 5 minutes ago? 1 minute? How about even 10 seconds ago?He has to process a lot of data, in real time, or he’s in a terrible horizontal spot.Businesses face the same exact type of requirement for real time information.
- Emerging technology frontier is transforming our lives in every aspect. Digitization & hyper-connectivity is entering a new phase after transforming books, music, retail into healthcare, manufacturing, automotive. Whether it is the products we purchase or how we purchase, retailing and manufacturing is getting digitized and connected. Retailing is moving from transactions to 1-1 engaging relationships while manufacturing is moving from mass production to 3-Dimensional printing of custom products on-demand. And it is just not products and services but also we ourselves are getting digitized. Transforming healthcare from generic treatment based on disease to personalized medicine. Whether it is social networks or internet of things giving rise to big data, everything is becoming faster and smarter but becoming increasingly complex.Technology breakthroughs are already here to serve companies willing to re-think their business and re-invent themselves. In the new digital economy, leaders are looking to re-define their industry and capture bigger market share
- Responding to the signals of change from dynamic global marketplace is a necessity. Variety, velocity and volume of data within businesses now double roughly every 18 months. With exploding mass of mobile enabled population, information required for servicing their needs has to be available at fingertips. Becoming a real-time business requires not only managing daily business transactions of your core business processes (e.g. finance, sales, production) in real-time but also being able to capture new data from sources like social media to enable one-to-one customer engagement or connecting directly to machines through sensors for getting reliable information on what’s really happening on the ground at each moment. It also means being able to analyze all this data in real-time - leveraging advanced models like predictive - for more relevant business decisions, and finally accessing real-time business insights on any device for immediate action.The SAP Business Suite is now powered by SAP HANA, the next generation platform. With SAP HANA, SAP provides the most modern suite of applications unifying analytics and transactions into a single in-memory platform. The result? The suite now allows real-time planning, execution, reporting and analysis across your end-to-end business processes. Business users can also get a unified – at finger tip – 360° views of real-time information - on any device - across all SAP Business Suite applications and even beyond like information from sensors and social medias. And you can leverage the suite to rethink your business processes as needed or simply invent new business models not possible before.The SAP HANA platform provides the basis to dramatically increase the performance of SAP Business Suite applications and innovate without disruption by also having the opportunity to leverage a new generation of real-time solutions from SAP and partners natively built on an open platform. With the SAP Business Suite now powered by SAP HANA, SAP is simply combining together the best suite of applications (SAP Business Suite) and the next generation platform (SAP HANA), for driving your entire business in real-time.
- Brand sentiment – By capturing and analyzing customer comments on Facebook, Twitter, and LinkedIn in order to improve customer experience and optimize campaign performance.Predictive maintenance – By analyzing a continuous stream of machine data diagnostics, you can predict when the performance of machinery is degrading or even worse potentially about to break down.Insider threats – By looking for anomalies hidden in data about user behavior, you identify suspicious behavior and pinpoint potentially high-risk employees Network optimization – By understanding usage patterns, and predicting customer trends, you can optimize your distribution networkPropensity to churn – Maybe your business suffers from a customer turnover in a highly competitive market. How can you determine a customer’s propensity to churn, or in other words, a likelihood they will leave you as a customer so that you can offer new services or deals in order to keep them.Fraud detection – Identify purchases or insurance claims that may have a high probability of being fraudulent by analyzing not only the transactional information, but also electronic documents.Asset tracking – Track high value assets and identify abnormal behavior that may put assets at risk of loss, or identify inefficient usage that is costing your business money. Personalized care – Use advanced analytics to create personalized treatments for patients, such as how Mitsui Knowledge Industry offers personalized cancer treatment based on genome analysis
- Only SAP has the unique set of innovations across 5 key areas that together can have a profound impact on the future of your business. Across key areas – applications, mobile, cloud, database and technology, and analytics – SAP can help you:Enable the real-time enterpriseDeliver new compelling experiences to your customers and employeesUnwire your business – enabling anything to be possible from anywhereWe also want to make it as easy as possible for you to consume across our technology in a way that focuses on helping you to be an industry leader or driving a specific line of business to the highest level of productivity and success.
- Only SAP has the unique set of innovations across 5 key areas that together can have a profound impact on the future of your business. Across key areas – applications, mobile, cloud, database and technology, and analytics – SAP can help you:Enable the real-time enterpriseDeliver new compelling experiences to your customers and employeesUnwire your business – enabling anything to be possible from anywhereWe also want to make it as easy as possible for you to consume across our technology in a way that focuses on helping you to be an industry leader or driving a specific line of business to the highest level of productivity and success.
- Only SAP has the unique set of innovations across 5 key areas that together can have a profound impact on the future of your business. Across key areas – applications, mobile, cloud, database and technology, and analytics – SAP can help you:Enable the real-time enterpriseDeliver new compelling experiences to your customers and employeesUnwire your business – enabling anything to be possible from anywhereWe also want to make it as easy as possible for you to consume across our technology in a way that focuses on helping you to be an industry leader or driving a specific line of business to the highest level of productivity and success.
- Leveraging new technologies to capture and manage all of the data coming at us (Big Data) gives us the opportunity to run our business using signals that are relevant today.These signals can measure performance, provide critical indicators about the business, identify customer issues and complaints, help us market more effectively and accurately, and all in real-time.
- SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
- Responding to the signals of change from dynamic global marketplace is a necessity. Variety, velocity and volume of data within businesses now double roughly every 18 months. With exploding mass of mobile enabled population, information required for servicing their needs has to be available at fingertips. Becoming a real-time business requires not only managing daily business transactions of your core business processes (e.g. finance, sales, production) in real-time but also being able to capture new data from sources like social media to enable one-to-one customer engagement or connecting directly to machines through sensors for getting reliable information on what’s really happening on the ground at each moment. It also means being able to analyze all this data in real-time - leveraging advanced models like predictive - for more relevant business decisions, and finally accessing real-time business insights on any device for immediate action.The SAP Business Suite is now powered by SAP HANA, the next generation platform. With SAP HANA, SAP provides the most modern suite of applications unifying analytics and transactions into a single in-memory platform. The result? The suite now allows real-time planning, execution, reporting and analysis across your end-to-end business processes. Business users can also get a unified – at finger tip – 360° views of real-time information - on any device - across all SAP Business Suite applications and even beyond like information from sensors and social medias. And you can leverage the suite to rethink your business processes as needed or simply invent new business models not possible before.The SAP HANA platform provides the basis to dramatically increase the performance of SAP Business Suite applications and innovate without disruption by also having the opportunity to leverage a new generation of real-time solutions from SAP and partners natively built on an open platform. With the SAP Business Suite now powered by SAP HANA, SAP is simply combining together the best suite of applications (SAP Business Suite) and the next generation platform (SAP HANA), for driving your entire business in real-time.
- SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
- SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
- SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
- SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
- SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
- SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
- SAP is building this today and we are intimately familiar with the key persona that will define success for organizations that are embarking on building their Network of truth.We see three types of user persona:Decision MakersAnalystsDesignersAnd for each one we must consider what is important for them, what are their intentions. For example. Decision Makers are not the most active BI users but we must consider that their time and their focus is on their decision and their key activities they need help with are EXPLORING FOR ANSWERS to questions and MONITORING their business to understand impactFor analysts, it’s about explaining unique insights and often time it requires enriching dataFor Designers, it’s about the process of designing content and apps and the model of governance.Author: Pierre LerouxCopyright SAP<OPTIONAL>Decision Makers. For a long time we have not differentiated our end users, but we need to be aware. The key user of BI are not the most active or the most often logged on. Instead they are the people that leverage the information to make actual decisions within the organization. At times we all act as decision makers, no matter if our job title is CEO or Housewife; and we all want to make decisions that have the least risk with the highest return. Business Intelligence exists to enable that to happen. When we serve the decision maker we must consider that their time and their focus is on their decision, and we must fit within these constraints or be ignored. And the key activities these users need help with are EXPLORING for answers to questions and MONITORING their business to understand impact – these processes happen every day and need to be fast, simple and immediate for every decision maker.Analysts. Most of the people watching this session will have often played the role of Analyst. Supporting ourselves and decision makers, or as often others. Performing analysis and enabling complex views of information. Analysts spent lots of time with information and vary from business managers analyzing small collections of key data, to Data Scientist performing complex calculations on vast seas of unstructured data. We need to enable all these people to ENRICH information in new ways, and share that with every other analysts. We also need to help them EXPLAIN the unique insights they have gained in the process so that effort can have real impact and real value to the organizations.But we must also consider the Designer. Those technology specialists that produce the targeted experiences and applications for our employees or more and more our customers. We must also let them design new experiences and applications that connect and leverage our STANDARD of TRUTH as part of the new NETWORK of TRUTH.Finally, we must make the process GOVERNABLE. We must have governance to ensure that the entire NETWORK is practical, reliable and safe. Wikipedia is not a wild-west of dangerous data, the open collaboration that creates it is only possible with a solid and well understood model of GOVERNANCE.So as we build out the NETWORK it is these people we need to consider and their key intentions. And we need to not just enable them to consume the NETWORK, we need each of these people to be able to contribute to that NETWORK, in the form of Opinions (like or dislike, trust or don’t trust), enrichment (relationships, associations, computations, descriptions) and design (templates, applications, actions)That is the goal SAP has with Visual Intelligence and Predictive Analysis, the first BI Components designed to operate in concert with a true Real Time Data Platform.Visualize and Act on Big DataConnect people with the right experience at the right time to get their questions answeredMonetize insights directly in business processes with Big Data applicationsDeliver big data apps that optimize organizational performance in real-time Analytic tools industry apps start ups
- Because today most companies are missing new signals that is hidden in this data and they are still looking in the rear view mirror at historical financial information to make key decisions (if any thing at all), like the Income Statement and Balance Sheetare at best rear-view measures of the top line and bottom line. They provide a snapshot in time of all that has happened, but very little, if any, indication of what is happening in the enterpriseFor example, an online retailer with a subscription model experiences a massive drop in stock price because of poor Income Statement results. Further analysis indicates that there was a dramatic drop in subscribers (Churn) in one of their most profitable segments. It would stand to reason that a pre-emptive pulse-check on the churn could have helped stem the bleeding and perhaps prevented the reaction on Wall Street. This churn is an example of a new signal that could have helped this one enterprise run its business more proactively rather than look for explanations with a rear-view perspective.IN addition, . The people who have information is a finite set of people in the organization – according to Gartner only 10% of the organizations are using analytics to make decisions…. This means 90% of your organization are making off the cuff decisions. According ot Gartner 75% of people will need analytics on a daily basis by 2020If companies could make their information even 10% more meaningful – they could have an annual increase benefits of over $ 2b. And if that does not convince you to invest in getting real-time information to all decision makers in your organization – According to Nucleus Research, For every 1$ spent on analytics, can bring a 1000% return on investment – so you have the stats to know it is absolutely essential to make this investment.
- Because today most companies are missing new signals that is hidden in this data and they are still looking in the rear view mirror at historical financial information to make key decisions (if any thing at all), like the Income Statement and Balance Sheetare at best rear-view measures of the top line and bottom line. They provide a snapshot in time of all that has happened, but very little, if any, indication of what is happening in the enterpriseFor example, an online retailer with a subscription model experiences a massive drop in stock price because of poor Income Statement results. Further analysis indicates that there was a dramatic drop in subscribers (Churn) in one of their most profitable segments. It would stand to reason that a pre-emptive pulse-check on the churn could have helped stem the bleeding and perhaps prevented the reaction on Wall Street. This churn is an example of a new signal that could have helped this one enterprise run its business more proactively rather than look for explanations with a rear-view perspective.IN addition, . The people who have information is a finite set of people in the organization – according to Gartner only 10% of the organizations are using analytics to make decisions…. This means 90% of your organization are making off the cuff decisions. According ot Gartner 75% of people will need analytics on a daily basis by 2020If companies could make their information even 10% more meaningful – they could have an annual increase benefits of over $ 2b. And if that does not convince you to invest in getting real-time information to all decision makers in your organization – According to Nucleus Research, For every 1$ spent on analytics, can bring a 1000% return on investment – so you have the stats to know it is absolutely essential to make this investment.
- Because today most companies are missing new signals that is hidden in this data and they are still looking in the rear view mirror at historical financial information to make key decisions (if any thing at all), like the Income Statement and Balance Sheetare at best rear-view measures of the top line and bottom line. They provide a snapshot in time of all that has happened, but very little, if any, indication of what is happening in the enterpriseFor example, an online retailer with a subscription model experiences a massive drop in stock price because of poor Income Statement results. Further analysis indicates that there was a dramatic drop in subscribers (Churn) in one of their most profitable segments. It would stand to reason that a pre-emptive pulse-check on the churn could have helped stem the bleeding and perhaps prevented the reaction on Wall Street. This churn is an example of a new signal that could have helped this one enterprise run its business more proactively rather than look for explanations with a rear-view perspective.IN addition, . The people who have information is a finite set of people in the organization – according to Gartner only 10% of the organizations are using analytics to make decisions…. This means 90% of your organization are making off the cuff decisions. According ot Gartner 75% of people will need analytics on a daily basis by 2020If companies could make their information even 10% more meaningful – they could have an annual increase benefits of over $ 2b. And if that does not convince you to invest in getting real-time information to all decision makers in your organization – According to Nucleus Research, For every 1$ spent on analytics, can bring a 1000% return on investment – so you have the stats to know it is absolutely essential to make this investment.
- Brand sentiment – By capturing and analyzing customer comments on Facebook, Twitter, and LinkedIn in order to improve customer experience and optimize campaign performance.Predictive maintenance – By analyzing a continuous stream of machine data diagnostics, you can predict when the performance of machinery is degrading or even worse potentially about to break down.Insider threats – By looking for anomalies hidden in data about user behavior, you identify suspicious behavior and pinpoint potentially high-risk employees Network optimization – By understanding usage patterns, and predicting customer trends, you can optimize your distribution networkPropensity to churn – Maybe your business suffers from a customer turnover in a highly competitive market. How can you determine a customer’s propensity to churn, or in other words, a likelihood they will leave you as a customer so that you can offer new services or deals in order to keep them.Fraud detection – Identify purchases or insurance claims that may have a high probability of being fraudulent by analyzing not only the transactional information, but also electronic documents.Asset tracking – Track high value assets and identify abnormal behavior that may put assets at risk of loss, or identify inefficient usage that is costing your business money. Personalized care – Use advanced analytics to create personalized treatments for patients, such as how Mitsui Knowledge Industry offers personalized cancer treatment based on genome analysis
- Supercharged BW with Dramatically Improved PerformanceBusiness: Improved decision making, faster reporting, and the most up-to-date informationIT: Faster data loading and decreased data latencySimplified Administration and Streamlined LandscapeBusiness: Reporting requests executed faster and minimal IT involvement IT: Reduced administration and lower TCOUnlock The Power of Your Data Across The EnterpriseBusiness: Self-service access to all information at the most granular levelIT: Simplified IT workload with easy access to operational data martsPreserve Your BW Investment without DisruptionBusiness: Minimal training impact to business users and administratorsIT: Migration without disruption of your BW application
- ISV / Application Development - https://www.sapappsdevelopmentpartnercenter.com/en/