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Even basic predictivemodeling can be done with lightweight machine learning in Python or R. In life sciences, simple statistical software can analyze patient data. This means fostering a culture of data literacy and empowering analysts to critically evaluate the tools and techniques at their disposal.
BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. Business intelligence can also be referred to as “descriptiveanalytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was.
You may be interested to know that TechJury reports seven out of ten businesses rate data discovery as very important, and that the top three business intelligence trends are data visualization, dataquality management and self-service business intelligence. or What is happening?
Descriptiveanalytics: Where most organizations begin and linger Descriptiveanalytics answers the question: What happened? These are your standard reports and dashboard visualizations of historical data showing sales last quarter, NPS trends, operational thoughts or marketing campaign performance.
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