Published on March 13, 2014
DATA IS EASY. DECIDING IS HARD.
UglyResearch.com ©2014 Ugly Research 0 0.5 1 1.5 2 2.5 3 3.5 4 We measure lots of things. This is good if the right things are measured, and the data gets noticed. Data is easy.
UglyResearch.com ©2014 Ugly Research 0 0.5 1 1.5 2 2.5 3 3.5 4 Deciding is hard. Need to know what explains outcomes. What actions will improve results? This doesn’t speak for itself.
UglyResearch.com ©2014 Ugly Research The good, the bad, the ugly. What is tech getting right? Data-driven decision-making Self-serve capability (BI, operations) Predictive analytics What’s missing? Insight-> action-> outcome sequence Decision culture (vs. data culture) Explanations of outcomes
UglyResearch.com ©2014 Ugly Research What should decision makers get? Not just this Or only this Or this
UglyResearch.com ©2014 Ugly Research you can expect this result. If you take this action Recommended ways to improve outcomes What should decision makers get? Supporting data: Explanations of the data Actionable insights Search for… Outcomes Actions Data sources People Analytical methods Method: Linear Source: RCT Confidence: 80% Explanation: Evidence Method: Bubble Source: Cust Confidence: 90% Explanation: DataSci Method: Dynamo Source: SAS Confidence: 70% Explanation: Cruncher
UglyResearch.com ©2014 Ugly Research unbounded bounded automatic actionable insights analyticsdata Decision management, business rules Self-serve BI, analytics, operational Decision-maker interface Type of info delivered Typeofdecision Moving up and to the right.
UglyResearch.com ©2014 Ugly Research For example. Mining: Predicting equipment failures (IBM Smarter Planet). Health informatics: Connect health and operational outcomes. Retail: One-off decisions about store locations. Technology: Attributing revenue to R&D, support, sales programs.
UglyResearch.com ©2014 Ugly Research Introducing PepperSlice. Matchmaking process: 1. People who need data (decision makers). 2. People who have data (analytics, operational data, BI, evidence).
UglyResearch.com ©2014 Ugly Research actionable insights PepperSlice more data visibility and context better data matched to the right people Everybody wins.
Find out more. Contact Ugly Research email: email@example.com twitter: @UglyResearch phone: 510.891.1033
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Tracy Allison Altman, founder of Ugly Research, explains what’s missing from the data-to-decision process. View/download the research paper [pdf]
Analysis of methods for evidence-based decision making: How to find, communicate, and adopt data-driven insights based on analytics, research, and methodology.
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Ugly Research - Uber for enterprise decision makers - View company info, team members, fundraising and more
Tech founder & decision scientist // Building @PepperSlice so people can easily get data-driven insights // ex-STATS: Love baseball, analytics, Oakland A's
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