Remove 2016 Remove Measurement Remove Metrics
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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

datapine

Now that you’re sold on the power of data analytics in addition to data-driven BI, it’s time to take your journey a step further by exploring how to effectively communicate vital metrics and insights in a concise, inspiring, and accessible format through the power of visualization. back on every dollar spent. click for book source**.

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Where’s the ROI for AI? CIOs struggle to find it

CIO Business Intelligence

Gartner recommends CIOs thinking about deploying AI to first consider potential use cases , establish metrics to measure value, and run pilot programs before launching large-scale projects. CNH first unveiled an autonomous tractor concept in 2016. These efforts to measure the value of AI are important, he adds.

ROI 143
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13 Essential Data Visualization Techniques, Concepts & Methods To Improve Your Business – Fast

datapine

While pie charts have received a bad rep in recent years, we feel that they form a useful visualization tool that serves up important metrics in an easy-to-follow format. Retail analytics tools allow you to visualize relevant metrics in interactive bar charts such as the one displayed below. c) Pie charts. d) Gauge charts.

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10 digital transformation questions every CIO must answer

CIO Business Intelligence

Consequently, CIOs need to be clear on the outcomes their initiatives will deliver and that they can measure and report on those outcomes in top- and/or bottom-line figures. Am I identifying and using the right business metrics to measure progress? The question to ask is, ‘Am I measuring value and how am I doing it?’”

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Why the Data Journey Manifesto?

DataKitchen

We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World Conference, very few easily understood what we discussed at our booth and conference session. So why another manifesto in the world? Why should I care? About seven years ago, we wrote the DataOps Manifesto. Please take a look.

Testing 130
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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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Data Analytics Helps Marketers Make the Most of Instagram Stories

Smart Data Collective

One example of this trend is by using analytics to measure the engagement of Instagram stories to get customers to interact more frequently. The most important thing to do at the beginning is to know which metrics to focus on. Instagram introduced stories in 2016 , and till then, it has become a fantastic marketing tool.

Marketing 104