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Measuring Maturity

Peter James Thomas

The author, engaged in measuring maturity – © Jennifer Thomas Photography – view full photo. In the thirteen years that have passed since the beginning of 2007, I have helped ten organisations to develop commercially-focused Data Strategies [1].

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Designing Charts and Graphs: How to Choose the Right Data Visualization Types

datapine

Modern dashboard software makes it simpler than ever to merge and visualize data in a way that’s as inspiring as it is accessible. Knowing what story you want to tell (analyzing the data) tells you which data visualization type to use. Let’s assume you have the right data and the right data visualization software. Distribution.

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Discover 20 Essential Types Of Graphs And Charts And When To Use Them

datapine

That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. In many cases, even the chart designers are not picking the right visuals to convey the information in the correct way. Let’s dive into them.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. The last in our rundown of the top benefits of business intelligence and analytics is related to data management and visualization. The results?

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play. Big data analytics and artificial intelligence enable the simultaneous processing and analysis of data from many sources to measure and even predict performance.

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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., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.