Remove 2011 Remove Reporting Remove Statistics Remove Testing
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What is Model Risk and Why Does it Matter?

DataRobot Blog

In 2011, the Federal Reserve Board (FRB) and the Office of Comptroller of the Currency (OCC) issued a joint regulation specifically targeting Model Risk Management (respectively, SR 11-7 and OCC Bulletin 2011-12 ). The regulators have provided a universal definition that has been adopted across the financial industry.

Risk 111
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Six Nudges: Creating A Sense Of Urgency For Higher Conversion Rates!

Occam's Razor

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. Go to the Multi-Channel Funnels folder in Google analytics and look at two other yummy reports: Time Lag and Path Length. Such is the case with A/B testing. You should.

Strategy 124
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Diversity for Businesses: What happens if Diversity is at odds with the organization?

Jen Stirrup

I’m normally reporting into Board level, or one level below, so my projects tend to have high visibility across the organization. In reality, however, hyper-formalisation’ can lead to disadvantage (Noon, Healy & Forson 2011) as the rules become so rigid, that nobody can pass them. The Diversity Management Perspective.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

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. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature.

Metrics 156
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Facebook Advertising / Marketing: Best Metrics, ROI, Business Value

Occam's Razor

It is possible to get good test and control groups (type of population, existing brand awareness, market penetration, competitive structures) for our experiments. I dare you to analyze which one of those things is happening more or less, or working better or worse, when you see 699 in your report. So keep things clean. That is how!

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Estimating causal effects using geo experiments

The Unofficial Google Data Science Blog

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. Structure of a geo experiment A typical geo experiment consists of two distinct time periods: pretest and test. After the test period finishes, the campaigns in the treatment group are reset to their original configurations.

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Smarter Survey Results and Impact: Abandon the Asker-Puker Model!

Occam's Razor

If you are open to being challenged… then here are the short-stories inside this post… The World Needs Reporting Squirrels. The World Needs Reporting Squirrels. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Bonus #2: The Askers-Pukers Business Model.

Modeling 127