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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.
Integrate objects (Dashboards, Crosstab, Tabular, KPIs, Graphs, Reports, models, Clickless Analytics and more).’ 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.
Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. PredictiveModeling to support business needs, forecast, and test theories. Dashboards. Assisted PredictiveModeling. Business Intelligence.
Short story #2: PredictiveModeling, Quantifying Cost of Inaction. Short story #4: Multi-dimensional Slicing and Dicing! When I'm creating a dashboard for a high level view, I would take the Treemap above and combine it with the one below that illustrates the amount of Goal Value delivered by each source.
Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards. Yes—but basic dashboards won’t be enough. These users interact with dashboards and reports as well as personalized views of the information.
Today, the BI assembly line is highly dependent on several job roles with different skill sets working together to deliver a report or analytic dashboard to a business user to facilitate better decision making. No longer will the business user need to slice and dice the data or ask for more data to answer a business question.
The new analytics mandate is descriptive, predictive and prescriptive in context. Too often, organizations conflate dashboards with intelligence. To make analytics a competitive differentiator, we must move from descriptive insights to predictive foresight and ultimately to prescriptive action. Its a symptom of needing one.
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