Remove Predictive Analytics Remove Prescriptive Analytics Remove Statistics Remove Structured Data
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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. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. Commonly used models include: Statistical models. XLSTAT is an Excel data analysis add-on geared for corporate users and researchers. Model-driven DSS.

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats. Data visualization is used to make the consuming, interpreting, and understanding data as simple as possible, and to make it easier to derive insights from data.