Strategic Decisions Supported by SAP Big Data Solutions. Angélica Bedoya / Strategic Solutions GTM Mar /2014

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1 Strategic Decisions Supported by SAP Big Data Solutions Angélica Bedoya / Strategic Solutions GTM Mar /2014

2 What critical new signals Might you be missing? Use Analytics Today 10% 75% Need Analytics by 2020

3 Agenda Introduction Apply Big Data Industry and LoB Apps Big Data and SAP Solution SAP Data Science Call to Action 2013 SAP AG. All rights reserved. 3

4 Introduction

5 Analytic Tools Industry/LoB Apps Start Ups Connect Big Data insights to real-world issues Apply insights continuously through your people and processes 2013 SAP AG. All rights reserved. 5

6 Big Data Today GE engines in 2013 These engines generate 1Tb of data per aircraft per day Jeff Immelt CEO GE Keynote for Minds + Machines 2012 talking about the new LEAP engine

7 John Deere Big Data Predictive Maintenance Success Story

8 Redefining Big Data VOLUMEN VOLUME VARIETY VELOCITY VARIETY VELOCITY BUSINESS VALUE Business Value should be the 4 th V, since this is what Big Data must deliver

9 Definition of Big Data Technical Characteristics Use Case Characteristics Volume Large data volume (< 10s of TBs to PBs) Needs secondary mass storage (e.g. Hadoop) Vision to Action Segments of one (as ultimate goal) Actionable decisions in real time Variety Disparate data types (e.g. unstructured, social media, geospatial, machine sensors) Multiple and varied data sources Multiple data characteristics (hot, warm, cold) Velocity Audience Discovery (CEI) Account Intelligence (CEI) :-) Sentiment Intelligence (RDS) High speed and volume of incoming data Real-time inputs Real-time decisions Vision to Insight Advanced analytics (e.g. predictive, text, geospatial) Customer Value Intelligence (CEI) Fraud Management Manufacturing (Operational Intelligence) Synthesis across types of analysis Synthesis across data types and sources Social Contact Intelligence (CEI) Demand Signal Management Manufacturing (Responsive Manufacturing) 2013 SAP AG. All rights reserved. Confidential 9

10 Do I need a Big Data Solution? Can you provide personalized or location based offers, services, and treatments in real-time? Can you identify and take action on marketplace signals? Can you use machine generated sensor data to improve operational efficiencies? Can you optimize your logistics operations with geo-location data? Are you able to identify fraudulent activity in real-time? CMO, CFO, COO, LoB Exec Why buy technology? Predictive maintenance, asset management, process monitoring, location intelligence, personalized offers & treatments, optimization, risk mitigation, fraud detection, exploration, R&D Why buy SAP? Extreme transaction volumes, high velocity of data ingest & action, realtime streaming, variety of data sources, unstructured / text / document / geospatial data, Hadoop / NoSQL, industry & LoB expertise CIO, CTO Are you currently getting value from your information? Do you have a Big Data project in process? Do you have an M2M (machine to machine) or internet of things Project? Are you looking to reduce the cost and improve the scope of your Data Warehousing and Analytics? Are you looking to deliver Real-Time Analytics on top of Hadoop?

11 Apply Big Data Industry and LoB Apps

12 How will you turn new signals into business value? :-) Brand Sentiment Predictive Maintenance Network Optimization Insider Threats Smart Equipment Asset Tracking Personalized Care Product Risk Mitigation, Smart Vending Recommendation Real-time Propensity to Churn Real-time Demand/ Supply Forecast 360 O Customer View Fraud Detection Smart Cities

13 Customer Benefits from Big Data Instantly predict market trends and signals from within massive amounts of data in real-time and with accuracy Maximize productivity using predictive maintenance and automated management of machinery and systems Identify assets within an impending storm or hazard area and plan appropriate response and actions Monitor and analyze all deviations and quality issues in your production process Provide highly personalized offers and exceptional service levels to every customer in real-time based on their precise location Predict, forecast, and optimize for greater insights & organizational performance Search and analyze unstructured and multimedia data combined with enterprise data for broader insights Prevent accidents with realtime response to location and environmental changes

14 Apply Big Data Industry and LoB Apps Available Today Make Big Data insights actionable via industry specific, business focused applications from SAP 2013 SAP AG. All rights reserved. 14

15 Big Data use cases and applications in CPG Responsive Manufacturing The Real-Time Supply Chain Brand & Channel Management Over all Equipment Effectiveness Demand Signal Management Customer Engagement Intelligence Energy and Environmental Resource Management Computer Aided Ordering Sentiment Intelligence (RDS) Predictive Maintenance Price Optimization Signal Detection Apps Data Science Use Case Custom Dev

16 Transforming manufacturing business with Big Data solutions from SAP Responsive Manufacturing Optimized Supply Chain Management Operational Excellence Increased Customer Experience SAP Overall Equipment Effectiveness SAP Demand Signal Management SAP Energy & Environmental Resource Management SAP Sentiment Intelligence Analysis for configurable products Spare Parts Inventory Optimization Sales Forecasting SAP Customer Engagement Intelligence Production Capacity Optimization Demand Modeling for Configurable Products Book to Bill Forecast & Analysis Strategic Customer Stratification Predictive Maintenance Materials Segmentation Apps Data Science Use Case Custom Dev 2013 SAP AG. All rights reserved. Confidential 16

17 SAP transforms both Businesses and IT Provide engagement for > 380 million fans with >65 years of statistics available on website 2X More time spent by fans on NBA website Identify cancer DNA variants for treatment 216x faster results: 3 days 20 minutes Premier soccer club performs real-time spatial analysis of player movements to optimize training Stress-tolerance for each player identified and addressed in real-time Uses SAP HANA for improving the forecasting process of energy load on the grid Improves investment decisions on the grid infrastructure Enable fleets to sense deviations in tire temperature and pressure 3% Cost Reduction in fuel and tire costs Support decisions about sales campaigns, loan risks with SAP Sybase IQ analysts 14 Terabytes Uncompressed data Predictive Player Behavior million users, 5000 events per second 10-30% increase in revenue per year Improve analysis and create influencer impact, crawling data form ca. 450 social media sites using SAP HANA (POC) $12M USD Revenue channel enabled by implementation Use real-time information to operate its call centers with greater productivity, a higher first-call resolution rate, and a lower cost per transaction. 5% Cost Reduction In total overall cost Real-time decision-making and greater control of the supply chain for better inventory management 50% Decrease in inventory Pulse Analytics Social Media Analytics using SAP HANA One 6x faster Text analysis processing Monitor ebay s marketplace through automated signal detection powered by predictive analytics 100% Accuracy that a signal is positive at 97% confidence

18 Big Data and SAP Solution

19 Cobbling Disparate Tools together is NOT the Answer! Disparate Tools Integrate d Platform Matt Tucker of Bloomberg Ventures 2013 SAP AG. All rights reserved. Confidential 19 1

20 SAP makes Big Data Real Key Components of World Class Big Data Portfolio 2013 SAP AG. All rights reserved. Confidential 20

21 SAP makes Big Data Real Key Components of World Class Big Data Portfolio SAP HANA PLATFORM FOR BIG DATA + BIG DATA APPS & ANALYTICS + BIG DATA SCIENCE Real-time. Real Results SAP AG. All rights reserved. Confidential 21

22 SAP HANA Platform for Big Data to unleash real-time business value

23 SAP Analytics for Big Data ENGAGE VISUALIZE PREDICT SAP BI SAP Lumira SAP Predictive Analysis & Rapidly connect individuals, data, and processes to understand the business and drive better decisions Intuitively explore and present data to reveal new insights at-a-glance SAP InfiniteInsight Confidently anticipate what comes next to drive better business outcomes

24 SAP Big Data Science

25 SAP Data Science - Delivering on your business imperatives Every company deserves a data scientist Achieve break-through results for your top business priorities with Data Science 2013 SAP AG. All rights reserved. Confidential 25

26 SAP Big Data Science Top (PhD) level global 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: SAP HANA, SAP Business Objects, SAP Predictive Analysis, Visualization Flexible delivery PAL and R integration SAP HANA Platform and beyond 2 + ( x ) 2 + e f ( x) /(2 ) 2 Data Science SAP Predictive Analysis SAP Business Objects Dashboards

27 ANTICIPATES CONSUMER BEHAVIOR SAP MAKES BIG DATA REAL 2013 SAP AG. All rights reserved. 27

28 SAP Data Science Differentiate with Breakthrough Performance & Value Intimacy of a Boutique Exceptional People PhD level data scientists; Best of the best Science + Technology + Business SAP products, Custom solutions, 3 rd party Customer success is the priority Customer Focus Use Cases and Intellectual Property Breadth and depth of uses cases Intellectual property provides jump-start Business questions addressed ROI calculated, Industry-specific Dependability of SAP SAP Solutions SAP HANA in memory platform, (SQL, R, extensions to Hadoop, SAS Interoperability) SAP Predictive Analysis & SAP InfiniteInsight (KXEN) SAP BusinessObjects BI On Premise and Cloud SAP end-to-end capability 2013 SAP AG. All rights reserved. Confidential 28

29 Call to Action

30 Make Big Data Real in Your Organization ACCELERATE APPLY ACHIEVE Design Thinking Workshop

31 Next Steps 1 Identify Big Data Use Cases, Scenarios, and Patterns 2 3 Engage Data Science Team Early See Full Offering Platform Applications & Analytics Data Science SAP Big Data External Site sapbigdata.com 2013 SAP AG. All rights reserved. Confidential 31

32 Summary Big Data exploitation is a strategic imperative. The use of big data will become a key basis of competition and growth for individual firms. -McKinsey The Big Data discussion is a Business Discussion, and not a tactical IT infrastructure discussion. Lead with Use Cases and Solutions. Challenge Customer Executives to work with us on strategic programs that leverage Big Data. Why SAP? Because we know the industry processes, we know best practice, we have solutions & we know how to deliver the value SAP AG. All rights reserved. Confidential 32 32

33 Thank You Angelica Bedoya Solution Specialist -Strategic Solutions

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