Data Integration Predictive Analytics Predictive Modeling Prescriptive Analytics 
Birst BI
OCTOBER 30, 2018
An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”. Predictive Analytics: Predicting Future Outcomes. While descriptive analytics are focused on historical performance, predictive analytics are about predicting future outcomes.
CIO Business Intelligence
JUNE 7, 2022
More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance.
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Cloudera
JULY 18, 2018
For those asking big questions, in the case of healthcare, an incredible amount of insight remains hidden away in troves of clinical notes, EHR data, medical images, and omics data. To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities.
datapine
NOVEMBER 27, 2019
The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.
Jet Global
MAY 1, 2023
Diagnostic Analytics: No longer just describing. Predictive Analytics: If x, then y (e.g., Prescriptive Analytics: Here’s what to do to achieve a desired outcome (e.g., In the same way, embedded analytics lean towards descriptive and diagnostic. Interest in predictive analytics continues to grow.
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