Remove Descriptive Analytics Remove Metrics Remove Reference Remove Statistics
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Descriptive analytics: Descriptive analytics evaluates the quantities and qualities of a dataset.

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Using IBM Watson to Answer Two Important Questions about your Customers

Business Over Broadway

Next, we can explore our data by calculating some descriptive statistics for our measures. Simply add the Statistics Node to the window and connect it to the Auto Data Prep Node. To view the statistics, click on the Statistics Node and hit run. The level of satisfaction is indexed by a summary statistic.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

This article will go over the concept of customer service analytics and some of the uses and advantages it could provide to a business. What Is Customer Service Analytics? Customer service analytics assist you in tracking and comparing key performance indicators (KPIs) to service level agreements (SLAs). Conclusion.

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What Is Embedded Analytics?

Jet Global

Business End-User Benefits Embedding analytics into essential applications makes analytics more pervasive. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Visual Analytics Users are given data from which they can uncover new insights.