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Birst Networked BI and Analytics eliminates information silos. Decentralized users can augment the enterprise data model virtually, as opposed to physically, without compromising data governance.
A unified semantic layer maintains common definitions and key metrics.
Birst’s two-tier architecture aligns back-end sources with line-of-business or local data. Birst’s Automated Data Refinement extracts data from any source into a unified semantic layer. Users are enabled with self-service analytics through executive dashboards, reporting, visual discovery, mobile tools, and predictive analytics. Birst Open Client Interface also offers integration with Tableau, Excel and R.
Birst goes to market in two primary ways: as a direct sale, for enterprises using Birst on internal data to manage their business; and embedded, for companies who offer analytic products, by embedding and white-labeling Birst capabilities into their products.
Birst’s is packaged in 3 available formats: Platform and per-user fee; by Department or Business Unit; by end-customer (for embedded scenarios).
Data is the most abundant and precious resource in an enterprise. It comes in all forms and is complex to merge, relate and analyze. Data analytics extract meaning from that data for business gain or productivity, often sharing those insights through analytics dashboards or analytics reports.
With organizations generating billions of terabytes of data a year, big data analytics techniques are the only way to understand and uncover value from today’s scale of data.
The best big data analytics tools must be able to process both structured and unstructured data such as text, documents, emails and other data stored in enterprise information management systems. They go further than reporting on historic performance, enabling companies to prescribe better actions through predictive analytics. These data analysis tools are often referred to as advanced analytics solutions, such as OpenText™ Magellan Analytics Suite, and are quickly becoming the preferred choice for enterprise analytics.
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