Remove 2017 Remove Dashboards Remove Data mining Remove Interactive
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Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Decision Management Solutions

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). 1 MIT Sloan Management Review September 06, 2017.

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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

For the first couple of interactions, give her/him that data. In my case the interactive elements which are useful are clearly displayed above. This report is most useful in understanding if people are interacting with, usually, your most expensive investment in content and delivering some micro-outcomes. Almost nothing.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. It’s an extension of data mining which refers only to past data.

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What Is Data Intelligence?

Alation

A stewardship dashboard, to track assets most ripe for curation and curation progress. An example of a stewardship dashboard for governance progress tracking. Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions.