Remove 2009 Remove Experimentation Remove Metrics Remove Reporting
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 156
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5 + 4 Actionable Tips To Kick Web Data Analysis Up A Notch, Or Two

Occam's Razor

We lovingly craft reports every day. My hope in this post is to share some simple tips with you that might make your reports and analysis speak to you a bit more. Look at your most important work / report / dashboard. PALM: People Against Lonely Metrics]. So why not your metrics? Or an actual outcome metric.

Metrics 96
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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. 6) Smart and faster reporting.