Remove 2009 Remove Interactive Remove Measurement Remove Metrics
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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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Big Data Paves The Way For Fantastic New Social Listening Tools

Smart Data Collective

The majority of consumers who have good interaction with a brand on social networks are more likely to recommend that brand to others. For example, it hones in on metrics in social media like retweets, engagement rates, mention, and story completions. The Complex Role Between Big Data and Social Listening Tools.

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Fact-based Decision-making

Peter James Thomas

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? It is hard to account for such tweaking in measurement systems. Pertinence and fidelity of metrics developed from Data.

Metrics 49
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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery. Offer capabilities to analyze business impacts at all levels of the organization by linking both strategic and tactical risk metrics.

Marketing 110
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Be Real-World Smart: A Beginner's Advanced Google Analytics Guide

Occam's Razor

This is all the way from Aug 2009: Web Analytics Career Advice: Play In The Real World! Along the way I'll share some of my favourite metrics and analytics best practices that should accelerate your path to becoming a true Analysis Ninja. At this point you'll be a little confused about some metric or the other.

Analytics 109
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5 + 4 Actionable Tips To Kick Web Data Analysis Up A Notch, Or Two

Occam's Razor

If today you are a content site that is only focused on measuring content consumed try to go deeper to understanding CPA of the ads or Visitor Loyalty. PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Never ever never never never ever present any metric all by itself.

Metrics 96
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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. measure the subjects’ ability to trust the models’ results. Information can get quite distorted after being abstracted that many times.