How Do You Navigate Learn and Earn Data?

In Part One of this series, Jim discusses datasets, and erasing your “blackboard” – in other words, approaching your data without preconceived notions. He uses real-life examples of why and how this part of the process works.

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In Part Two of this series, Jim explores the data and how asking questions of the dataset leads to knowledge. For example, why was one course taken more than another? Were internal or external people taking these courses? It’s important to look behind the scenes of the data.

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In Part Three of this series, Jim continues his investigations of why questions help produce knowledge from your dataset. He uses a chart that is divided into Quartiles, a common research tool that gives new life to a dataset and leads to asking more questions which, in turn, leads to more knowledge.

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In Part Four of this series, Jim shows you how to collect insights from your questions and analysis. Using a technique called RFM (Recency Frequency Monetary Value), you’ll hear how to sort a dataset three different ways to extract additional knowledge about your audience. Then, how to make the phone your “secret weapon.”

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In Part Five of this series, Jim discusses the biggest problem marketers face: diverse systems within a company that don’t “talk” to each other. He addresses this problem with suggestions on helping you solve it, and wraps the discussion up with how to overlay additional data from these systems (i.e., your sales data) for more profound insights.

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