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At a loss for data project ROI? Evaluate it like a product

CIO Business Intelligence

In 2006, British mathematician Clive Humby proclaimed, “Data is the new oil.”. It could be a dataset, an ML model, or a report. You need to have a sense of ROI, beginning with a sense of what it costs to product it and being deliberate about measuring what you expect to reap from it is really the starting point,” he says.

ROI 116
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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Calendaring was therefore an explicit feature of models within our framework, and we made considerable investment in maintaining detailed regional calendars. Adjustments for effects: holiday, seasonality, and day-of-week effects.

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SAP Industry Insights Podcast Highlights of 2021 with Host Tom Raftery

Timo Elliott

Most people rent skis rather than buying, because it’s easier and cheaper and more convenient — so why not apply that model to more things? I also loved the episode The Race to Zero: Regenerative Business Models for a Sustainable Future. The logic of the argument was very convincing. with the CTO of SAP Fieldglass.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though There are models everywhere. credit cards).

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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

Helpful post: You Are What You Measure, So Choose Your KPIs (Incentives) Wisely! ]. As we develop more sophistication to our measurement, they'll morph from being attributes of a Visitor to those of a Person. Please remember this important caveat as you pick KPIs. Now you have your foundation, metrics and KPIs. Definition?

Analytics 150
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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Kick Butt With Internal Site Search Analytics

Occam's Razor

I had first written about the wonders of site search analysis in a June 2006 post: Are You Into Internal Site Search Analysis? 3: Measure Internal Site Search Quality. #4: 5: Life Is About Results: Measure Outcomes! It is obvious to you how the above report can also help you measure the quality of your internal search results.

Analytics 101