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Excellent Analytics Tip #27: Chase Smart Calculated Metrics!

Occam's Razor

The specific metric I've been mad about since day one of this blog ( May 14th, 2006! ) If you want to give your organization, your people, the incentive to move away from one night stands to digital engagements that keep pace with our customers and are driven by their intent, you need to make one simple change.

Metrics 88
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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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Position2’s Arena Calibrate helps customers drive marketing efficiency with Amazon QuickSight Embedded

AWS Big Data

Position 2 is a leading US-based growth marketing services provider focused on data-driven strategy and technology to deliver growth with improved return on investment (ROI). Position 2 was established in 2006 in Silicon Valley and has a clientele spanning American Express, Lenovo, Fujitsu, and Thales.

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A guide to efficient Oracle implementation

IBM Big Data Hub

Companies large and small are increasingly digitizing and managing vast troves of data. The software provides an integrated and unified platform for disparate business processes such as supply chain management and human resources , providing a holistic view of an organization’s operations and breaking down data silos.

Testing 78
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Best Web Metrics / KPIs for a Small, Medium or Large Sized Business

Occam's Razor

We have access to more data than God wants anyone to have. Thus it is not surprising that we feel overwhelmed, and rather than being data driven we just get paralyzed. In fact a data driven life is sexiest digital life you can imagine. Recommend metrics / KPIs you can use based on the size of your company.

Metrics 151
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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

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What’s the Difference: Quantitative vs Qualitative Data

Alation

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. When choosing between qualitative and quantitative data, think about what you want to learn.