Data Discovery for Big Big Insights - Tableau Webinar Slides
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How Data Discovery fits into The Journey from Data to Dollars™

How Data Discovery fits into The Journey from Data to Dollars™

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  • 1. Data Discovery for Big InsightsJaime FitzgeraldPresident, Fitzgerald AnalyticsMay 17, 2012 Architects of Fact-Based Decisions™
  • 2. Jaime Fitzgerald Data to Dollars™ specialist. Known for helping clients of all shapes and sizes get better results through data, analytics, & technology Frequent Speaker on “practical analytics”…reducing the “barrier to benefit” from data and it’s potential @jaimefitzgerald Founder of Fitzgerald Analytics, an advisory @fitzanalytics firm he built into a team of 25 professionals specializing in data-driven strategy, business analytics, and data asset management. Twice named a “Best Small Consulting Firm to Work For” by Consulting Magazine.Data Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 2
  • 3. ROI on Data Assets: More Crucial Than Ever “Data is the New Oil” - World Economic Forum ReportData Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 3
  • 4. Trends in Business Intelligence & Data Discovery Data discovery fits into three key trends… Trend Implication Users need more flexible & efficient tools for rapid-cycle, 1. Agile Analytics iterative analysis More data, in a variety of formats, is available and needs to 2. Big Data be profiled, processed, integrated, and used appropriately Today’s executives, managers, and analysts expect insights 3. Data Visualization to be delivered visually. Data visualization has gone from “nice to have” to “expected.” The remaining slides put these trends into practical context.Data Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 4
  • 5. From Data to Results: Key Steps 1 Data 2 Analysis 3 Action 4 ResultsData Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 5
  • 6. The Journey to Results: How Data Discovery Fits In 1. Data 2. Analysis 3. Action 4. Results  New Data  Better Decisions  Revenue Growth Source Analysis Insight Acquisition  Better Processes  Margin Expansion  Data Discovery  More Customers  Cost Reduction  Data  Happier & More Governance Loyal Customers  Risk Management  Data Quality  Opportunity DiscoveryData Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 6
  • 7. The Cycle of Analysis 1 Data 5 2 New Data Learnings Analysis 4 3 Results ActionData Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 7
  • 8. Cycle of Analysis: Customer Analytics 1  Profitability  Behaviors Customer  Demographics Data  Psychographics  Wants & Needs  Response to actions 5 2  Descriptive  Delta vs. Predictions New Data Analysis  Predictive  New insights  New hypotheses Learnings  Test & Learn  Hypotheses  New data sources 4 3  Customer Response  Messages  Financial Impact  Offers  Predictions vs. Results Action  Products Actuals  Pricing & Policy  Surprises  Customer Service  InputData Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 8
  • 9. Key Success Factors 1. “Begin with the End in Mind” (Goal-Centricity) 2. Agility & Fast Iteration 3. Cross-Functional Collaboration (IT, Data, Business, Domain Experts)Data Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 9