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Here are 25 more lessons we've learned (the hard way) about what's easy and what's hard when it comes to telling data stories: Easy: Picking a good visualization to answer a data question Hard: Discovering the core message of your data story that will move your audience to action Easy: Knowing who is your target audience Hard: Knowing what motivates (..)
Embedded BI and Augmented Analytics includes traditional BI components like dashboards, KPIs, Reports with interactive drill-down, drill through, slice and dice and self-serve analytics capabilities. Benefits of Embedded BI. The benefits of Embedded BI and Augmented Analytics are numerous.
PredictiveModeling to support business needs, forecast, and test theories. KPIs allow the business to establish and monitor KPIs for objective metrics. Assisted PredictiveModeling. Key Performance Indicators (KPIs). Real Time and Cached Cube Management.
Short story #2: PredictiveModeling, Quantifying Cost of Inaction. Short story #4: Multi-dimensional Slicing and Dicing! You can hover over each box to get a sense of the key metrics. Short story #2: PredictiveModeling, Quantifying Cost of Inaction. Thank goodness for predictivemodels.
As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. When treating a patient, a doctor may wish to study the patient’s vital metrics in comparison to those of their peer group. Interactivity can include dropdowns and filters for users to slice and dice data.
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