Leading With Data· a Bicycle Guide

Leading With Data

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These are actual examples from guides on this site, with links back to their source guide.

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MisconceptionWe need a perfect, fully integrated data warehouse before we can do any analytics.

RealityPower of People argues high quality is a goal, not a precondition — start with the data you have on a scoped problem and improve as you go. The 'single version of the truth' (People Analytics Data to Decisions) is the destination, not the entry ticket.

From the “Data Quality & Infrastructure” section of Build a People Analytics Practice — grounded in People Analytics Data to Decisions, Data-Driven HR, The Power of People - How Successful Organizations Use Workforce Analytics To Improve Business Performance, Predictive Analytics in Human Resource Management: A Hands-on Approach.

Compare different approaches

Engagement Before Purchase or After It

One side

Engagement is an antecedent that drives customers toward purchase — measure and optimize it upstream of conversion

The other

Engagement (retention, return-visits) is a downstream outcome of conversion — measure it as a post-purchase result of a completed sale

How to choose. Direction of engagement vs purchase: some books treat engagement as antecedent to purchase behavior while others treat retention/return-visits (a form of engagement) as a downstream outcome of conversion.

From Measure And Grow Marketing With Data.

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