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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. The business can create common data models and BI object templates to publish across tenants with just a single click.
No longer will the business user need to slice and dice the data or ask for more data to answer a business question. He published a paper proposing the development of a “relational database model” to address this issue. Figure 6: Amazon Machine Learning to build and deploy PredictiveModels.
Interactivity can include dropdowns and filters for users to slice and dice data. These ensure accurate visual displays, as well as compatibility with mobile device, features such as “touch input.” Predictive analytics use a combination of data sets from multiple sources to find relationships and correlations.
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