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PrescriptiveAnalytics. Today, Microsoft’s Power BI leads the market of BI-a-a-S, being an excellent tool for data collection, analyzing and visualization. Unique feature: customvisualizations to fit your business needs better. Unique feature: drag and drop functionality to create visualizations faster.
Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. Plan on how you can enable your teams to use ML to move from descriptive to prescriptiveanalytics. Users interested in visual exploration can do so using AWS Glue DataBrew.
Data analysts leverage four key types of analytics in their work: Prescriptiveanalytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.
Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. It’s all about context.
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