Big Data Analytics Armistead Boyd SVP, Product & Data Partnerships October 25, 2016
What is Big Data Analytics? Data Future Data Past Data Present 1
Big Data Trends Data Driven Organization Other Executives 5% 8% Operations Data Implementation 24% 27% 10% Who Drives the Data Data Aspirations Analytics Strategy? 46% 19% Data Awareness 17% 39% Sales Data Impaired 5% Marketing 2 Source: Telstra Global Research
Data Opportunities and Challenges 3
Is Data Important to Your Customers? 4 Source: Barlow Research Associates
Data Complexity = Regulatory Complexity 2015 2015 Dodd-Frank 2,300 Pages 2010 2010 Basil III 616 Pages 2004 2004 Basel II 347 Pages 1932 1932 1980 1980 Glass-Steagall Basel I 37 Pages 30 Pages 5
The Data Nemesis 6
How Data Transformed Other Industries Failure and Success of Customer Data The Customer Data Experience 7
Why Big Data Does Not Work 8
Integrated Systems = Data / Business Intelligence 9
360º Data View – Customer Intelligence 10
Data = Operational Intelligence 11
Data = Cross Sell Opportunities 12
Data = Customer Intelligence 13
What Data Analytics Enables 1. Online Applications 2. Auto Decisioning 3. Data Driven KYC / Questionnaires 4. Automated Onboarding 14
The Data Engagement Relationship 15
Investing in Big Data % of Technology Budget Spent on Data Analytics 6% 18% 43% Next Current 2-3 Years 56% 26% 51% Data Analytics Hardware Software Data Analytics Hardware Software 16 Source: Telstra Global Research
Big Data Results – What to Expect 17
Big Data Case Studies $3.0 billion $2.6 billion $9.9 billion Pennsylvania Tennessee Georgia 18
The Big Data Conclusion Understanding the Past, Present, Future • Big Data no Longer Optional • Driven by Business • Streamline and Integrate Systems • Turn Data into Intelligence • Bi Big Data Benchmark the Results • 19
Big Data Analytics Armistead Boyd SVP, Product & Data Partnerships October 25, 2016
Financial Results Da Data Inefficient t Bank Da Data Efficient t Bank 21
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