Episode 10

Making Better Decisions with Data

00:00:00
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00:17:40

September 18th, 2019

17 mins 40 secs

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About this Episode

    <p>Mathematics is one thing, but almost more important to the practice of any data work is having the conceptual framework from which to approach any data project.&nbsp;In this episode, Chris provides an overview of three ideas that provide just such a framework:</p><ul><li>Crafting a data plan for better decision making</li><li>How to apply the idea of “Management by Exception” to your reporting</li><li>Developing reports/ dashboards with “Ranking and Diagnostics” in mind</li></ul><p>After this brief introduction, Chris dives deep into the idea of using data for better decision making.&nbsp;In this podcast you’ll get the information you need to start out on a data project with the confidence it will yield value when complete.</p><p>You’ll learn about…&nbsp;</p><ul><li>How to apply the three rules for causality to your project to assure actionable results</li><li>The metrics that matter the most and why.&nbsp;(Hint: It has everything to do with the decisions we need to make in business every day.)</li><li>What “cause” and “effect” variables look like, and which ones we have total control over (and which ones we don’t)</li><li>The basics of analysis and how to analyze multiple variables at once for actionable insights</li><li>How many cases or data points you need to feel confident your findings are statistically relevant.</li></ul><p><strong>Links of Interest</strong></p><ul><li>PortMA: These practices are at the core of the work done by the team at <a href="http://www.portma.com" target="_blank">PortMA for Experiential Marketers and Advertising Professionals</a> looking for stronger marketing research.</li><li>Chris tweets here: <a href="https://twitter.com/PortMA" target="_blank">@portma</a></li><li>Follow Chris on <a href="https://www.linkedin.com/in/christopherhclegg/ and PortMA at https://www.linkedin.com/company/portland-marketing-analytics-llc" target="_blank">LinkedIn</a></li></ul>