Big Data is Changing Business

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1 Big Data is Changing Business Opportunities and Challenges The Regent Hotel, Beijing, China 20 th November, 2012 Presented by: Craig Stires, Research Director, IDC Copyright IDC. Reproduction is forbidden unless authorized. All rights reserved.

2 Addressing competition in Acquire new customers & reduce churn 2. Expanding into new markets 3. Identify new innovations to gain competitive advantage Source: IDC APeJ C-Suite Barometer 2012 (LoB/CFO=501, CIO/CTO=499) 2

3 The Big Data differentiator - Asia Pacific Banking and Financial Svcs Public Sector Telecommunications Prevention of financial crimes Offer optimization through customer insight Risk-adjusted portfolio management Citizen reaction to events Defense initiatives Critical mass (power, water, disease, emergency response) Peer influencer mapping for churn prevention Next-best activity for customer up-sell Location-based profiling for product marketing Source: IDC,

4 The Big Data differentiator - Worldwide Retail Manufacturing Energy and Resources Sense of purchase, prevention of abandonment Cross-session shopping basket analysis Premium pricing of advertising Inventory optimization for minimum holding costs Equipment preventative maintenance Industrial security and integrated safety systems Stockpile valuations and forecasts Digital oilfield (upstream) Social sentiment and impact of CSR / public relations Source: IDC,

5 The CIO/CMO/CFO Big Data agenda Real-time response (customer service, fraud detection, network intrusion), workflow automation Customer insight, operations insight, risk insight, complex event processing, modeling external and un/semistructured data Data center, private cloud, disaster recovery, data governance (GRC) Decision Support & Automation Analytics & Discovery Data Organization & Management Infrastructure Source: IDC,

6 IDC Big Data classification Source: IDC Worldwide Big Data Technology and Services, Forecast,

7 7

8 Structured vs unstructured 8

9 The data driving 'Big Data' Transactions Online Transaction Processing (OLTP) DB2 Informix Ingres Oracle Sybase SQL Server Online Analytical Processing (OLAP) Astrodata EssBase Greenplum Netezza Redbrick SAS Teradata Vertica Interactions 1.8 Zetabytes (1.6 trillion GB) produced and replicated in 2011 Interactions Social Media Facebook LinkedIn Interfaces Clickstream Multimedia Machine Data Google Twitter Sensors Geolocation Sentry 360X the storage required to store all human speech ever spoken Source: Mark Liberman 9 Source: IDC, Worldwide Big Data Technology and Services Forecast, 2011

10 What type of data will be your Big Data? Analysis of operations related data Analysis of machine or device data Analysis of transactional data from sales systems Analysis of online customer behavior related data Non-analytic workload X-as-a-service innovation APeJ GCR Source: IDC APeJ Big Data Pulse 2012 (n=467) 10

11 APeJ Big Data Market Forecast ($M) Services Software Networking Storage Servers Source: IDC APeJ Big Data Technology and Services Market Analysis and Forecast

12 Going mainstream 12

13 Big Data solutions, why now? Competitive Pressure Competitive Advantage Requirements Purchasing Implementation Integration Realization Big Data solutions are going to be the standard Waiting until your competition has started getting results from Big Data solutions can put you at a disadvantage for months 13

14 Platform and solution game changers Budget Capabilities Velocity Requirements Technologies Volume Variety 14

15 Challenges around Big Data solutions Cost of technology infrastructure Business case Deciding what data is relevant Inadequate analytics skills on staff Skills gap Inadequate IT skills on staff Not sure which technology is most appropriate Lack of alignment with line of business APeJ GCR Source: IDC APeJ Big Data Pulse 2012 (n=467) 15

16 What happens next? Select an initiative tied to your competitive goals Build a skills / capabilities roadmap Start your search for solution-focused technologies 16

17 Contact

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