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The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and datagovernance. This development will make it easier for smaller organizations to start incorporating AI/ML capabilities.
The user can’t be assumed to be an internal user who can be trained, so intuitive visualization and interfaces are a must.”. Birst’s Networked approach to BI and analytics enables a single view of data, eliminating data silos. Data-management capabilities, including data integration and self-service data preparation.
Most companies find themselves in the bottom left corner, in the Descriptive Analytics and DiagnosticAnalytics sections. You likely already have some form of scheduled reports, are drilling down into your data, discovering what is in your data, and may even be visualizing to some extent.
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