Big Data & Analytics A boon under certain conditions Dr. Christian Keller General Manager IBM Switzerland
Agenda IBM at a glance What is Big Data? 4Vs The IBM point of view BD&A Market Opportunities Challenges related to Big Data 2
IBM at a glance IBM at a glance $99.8B Revenue, $18B Income 2013 Operations in over 170 Countries Key Business Segments Services Software Hardware Research Financing A highly inclusive workforce with over 430,000 employees: Business Model Helping clients succeed in delivering business value by becoming more innovative, efficient and competitive through the use of business insight and information technology (IT) solutions, and providing long-term value to shareholders 51% less than 5 years of service 40% work remotely 3
4V s IBM Big Data & Analytics The Sources of Big Data 4
4V s Big Data Is All Data Volume Variety Velocity Veracity Data at Scale Data in Many Forms Data in Motion Data Uncertainty = 4V s Big Data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making - Gartner 5 Source: IDC, Definitions on Business Analytics and Big Data via Email, 20 Aug 2013; Gartner, The Importance of Big Data : A Definition, Jun 2012
The IBM Point of view Big Data unlocks new insights and creates opportunities for businesses that previously were not feasible Analytics Applied to Big Data 1.Better, smarter insights highlighting business opportunities internal and external 2.Internal process and performance improvement 3.Creating novel, incremental revenue possibilities Technologies born in the Big Data era are likely co-exist and/or converge with traditional analytics tools Hadoop not likely to replace but co-exist with existing data warehousing, search & discovery, and high-end modeling and simulation technology 6 6 Source: IBM Internal, SA/IM 5 Use Cases Presentation; IDC, Market Analysis Perspective: WW Business Analytics, Dec 2012
The IBM Point of view Six Key areas to apply Big Data Attract, grow, retain customers Create new business models Transform financial processes Manage risk Optimize operations and reduce fraud Improve IT economics Acquisition Personalization Profitability Retention Data-driven Products and Services Non-traditional Partnerships Mass Experimentation Financial Performance Forecasting & Planning Operational Performance Financial Risk Operational Risk and Compliance Enterprise Risk Management Global Operations Infrastructure & Asset Efficiency Fraud Harness and Analyze all Data Govern All Data Optimize Analytic Workloads Security Spectrum of Analytics Source: IBM Internal 7
The IBM Point of view Three Key Imperatives for Big Data & Analytics Success Build a culture that infuses analytics everywhere Invest in a big data & analytics platform Be proactive about privacy, security and governance Imagine It. Realize It. Trust It. 8
Opportunities in the BD&A market Market Opportunities 9 Source: 2H13 Total Big Data & Analytics Opportunity
Market Opportunities 2015 BD&A Total Market Industry Percentage 10 Sources: GMV 2H13 Big Data & Analytics Total Opportunity, HAFCC
Market Opportunities Examples of Big Data Projects Chemical and petrolian industry Telecommunications industry 11 Source: McKinsey
Challenges related to Big Data Challenges 12 Source: Gartner 2013
Summary BD&A is real and happens NOW BD&A is changing the way we work and interact Understand the implications of BD&A for your business and act accordingly 13
Thank you for your time today. Q&A For more information: www.ibm.com/ch www.research.ibm.com/labs/zurich Contact: Christian Keller christian.keller@ch.ibm.com 14
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