What is OpenText and what is it used for?

OpenText drives digital transformations to empower smart, connected business. By enabling companies to digitize processes and supply chains and discover value in their information with analysis and artificial intelligence, OpenText offers a greater business vision to make data-driven decisions for success.

Data is the most abundant and valuable resource in a company. It comes in all its forms and is complex to merge, relate and analyze. Data analysis extracts the meaning of that data for business gain or productivity, often sharing those ideas through analysis dashboards or analysis reports.

With organizations that generate billions of terabytes of data per year, big data analytics techniques are the only way to understand and discover the value of today’s data scale.

The best big data analytics tools should 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 beyond reporting on historical performance, allowing companies to prescribe better actions through predictive analytics. These data analytics tools are often referred to as advanced analytics solutions, such as OpenTextTM Analytics Suite and OpenTextTM MagellanTM, and are quickly becoming the preferred choice for business analytics.

Enable business users with a dashboard designer to create interactive, customized dashboards with capabilities such as breakdowns, filters, groups, and the ability to create new calculated columns to explore the data themselves.

Leverage integrated, pre-built advanced analytics against massive amounts of structured and unstructured data, then share and socialize your findings through big data analytics reports.

Transform with AI by upgrading to Magellan, increasing Analytics with powerful open-source learning. Magellan specializes in analyzing complex, diverse and very voluminous data on a pre-built platform.

Features and Functions of OpenText

  • Data storage management
  • Dlert
  • Dpplication management
  • Derformance baseline
  • Dredictive analysis
  • Doute analysis
  • Derver supervision
  • Dultired capacity
  • Dime analysis in time real
  • Derformance supervision
  • DPI
  • Data display

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