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1 Twitter: #VRBTL Ventana Research

2 Busting up BI and Building a Big Data Analytics Foundation Tony Cosentino VP and Research Director #VRBTL Ventana Research

3 Ventana Research 3

4 Business Intelligence in Context Business Goal Strategic Ad Hoc Operational Long Range Planning and Analysis (e.g. segmentation, brand and portfolio strategy) Near Range planning and analysis (root cause analysis, campaign management) Execution oriented goals (e.g. Fraud detection) User Executive, Analyst Manager, Analyst Managers, Users, other systems Example Tools Specialized Analytical tools Business Intelligence BP/CEP systems Timing Months to years Days to months Real-time to intraday #VRBTL

5 What is Big Data Analytics? Nobody seems to agree. More of an ethos with some foundational drivers: Moving from 20 th to 21 st century analytics: designed data and organic data. Moving beyond internal and external data silos. Moving beyond analytical silos. Moving from the V s to focus on the W s. /tonycosentinovr 5

6 Benefits and Challenges TonyCosentino.ventanaresearch.com 6

7 Diversity of Goals and Benefits Importance goals of current or planned deployment of technology: Manage Performance Detect fraud or security problems Comply with regulations Manage risk 59% 59% 58% 58% Related Research: Significant industry difference are prevalent across financial services, government, healthcare, and manufacturing. Performance security challenges are key use cases but viewed differently by IT when compared to business users. Identify opportunities for improvement 54% Source: Ventana Research Operational Intelligence Benchmark Research #VRBTL

8 Foundational Information Challenges Top five barriers facing organizations today Multiple versions of the truth 64% Data spread across too many apps and systems 67% Data not timely enough 60% Data not clean enough to use 58% Technology not able to meet needs 57% Source: Ventana Research Information Management Benchmark Research /tonycosentinovr 8

9 Staffing and Training Challenges Obstacles to Big Data Analytics Staffing 79% Training 77% Real-time 67% Cost 64% Integration 64% Related research: Analysis capabilities not available on big data are predictive analytics (27%), forecasting (22%), data and visual discovery (19%). New analytics are made available most often with analysts and IT working together (32%). Source: Ventana Research Technology Innovation Benchmark Research TonyCosentino.ventanaresearch.com 9

10 Changing Needs of Buyers Category Usability Reliability Capability Manageability TCO/ROI Adaptability Validation % selecting Very Important 64% 54% 48% 47% 47% 35% 23% Related research: Executives (76%) consider usability to be a very important consideration. Confidence in existing vendors is high (75%) to provide innovative technology. User experience and simplicity is most critical. Source: Ventana Research Technology Innovation Benchmark Research #VRBTL 10

11 Ventana Research

12 Four Pillars of Big Data Analytics Intersection of BDA and traditional analytics: bringing structured and unstructured data together architecturally Visual analytics and data discovery: exploring data in many ways Predictive analytics: reducing complexity and broadening scope Real-time and right-time analytics: operationalizing analytics on an industrial scale Source: Ventana Research Technology Innovation Benchmark Research /tonycosentinovr 12

13 Is Big Data Analytics Right for my Company? Key Questions: Ask if big data analytics is critical for your long term company success? If so, what type of big data analytics? Who will be on my team? What are the documented use cases and benchmarks? What is the underlying business case? Can I roll out a pilot? Source: Ventana Research Technology Innovation Benchmark Research TonyCosentino.ventanaresearch.com 13

14 What To Do Next 1 Think broadly and specifically about frameworks (e.g. The V s. the W s, 4 Pillars). 2 Determine use case and benchmark best practices; address business improvement initiatives. 3 Create a realistic cross-functional plan with respect to skills sets and organizational processes. 4 Get executive buy in by focusing on UX and building an agile platform responsive to business needs. #VRBTL 14

15 Busting up BI and Building a Big Data Analytics Foundation Tony Cosentino VP and Research Director #VRBTL

16 Twitter: #VRBTL Ventana Research

Twitter: #VRBTIS and @ventanaresearch. 1 2013 Ventana Research

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