What is data discovery?
The data discovery process utilizes tools that connect to the vast data stores available to an organization and provide advanced analytics capabilities to draw actionable data insights. It produces a single source of the truth for data analysis that makes disparate and messy data clean and comprehensible. Data discovery allows business users to gain insights into patterns and trends for critical business decisions through self-service interfaces, democratizing the ability to perform data analysis beyond data scientists and IT.
OpenText Magellan Data Discovery overview
OpenText™ Magellan™ Data Discovery allows business users and analysts to access, blend, explore and analyze data quickly without depending on IT or data experts. Users can get a 360-degree view of their business, explore billions of records in seconds and apply advanced and predictive analytics techniques all in a drag-and-drop experience, with no complex data modeling or coding required.
OpenText Magellan Data Discovery features
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Data source connectivity
Easily makes huge data sets accessible from multiple sources for a single view of all data.
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Easy to use visuals
Makes big data visual with decision trees, association rules, profiling, segmentation, Venn diagrams and more.
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Self-service interface
Turns raw data into sophisticated data visualizations in minutes with a few clicks through an intuitive user interface for business users and data analysts.
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Recommended data visualizations
Suggests visualizations to drive insights based on the data users select through smart data discovery.
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Machine learning model versioning
Allows user to select from multiple versions of published machine learning models and analytical assets to arrive at the most accurate results and forecasts.
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Notification center
Helps all users stay up to date on changes to data, analysis, permissions, and more that might affect their daily operations.
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Cloud-native edition
Unlocks a new level of performance, agility and simplified management by deploying Magellan Data Discovery in the cloud. Certified for the OpenText Cloud, Microsoft Azure, and AWS.
Customer success stories
Now, in a few seconds, I can do all the comparative calculations needed, be it month-over-month, quarter-over-quarter or any other time period. What we'll do is oftentimes study cycles of selling or view certain things that are going on in the market and apply these additional factors to the overall analysis.
Our goals with Big Data Analytics and iHub were to find a product that would handle our end to end needs, meaning, it has the ability to store the data, transform it, and allows us to analyze it and then produce accurate reports for our regulators. We're also changing our operating model to a more user-driven model that allows our business to achieve what they need with less IT help.
OpenText Magellan Data Discovery benefits
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Best practices analytical techniques
Discover hidden relationships, patterns, profiles and trends to make fact-based decisions through pre-built algorithms and analysis.
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Analyze billions of records in seconds
Leverage high-performance big data analysis of hundreds of tables, millions of rows, billions of records for deeper business insights.
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Enhance user autonomy and self-sufficiency
Empower users without statistical backgrounds to run deep analytics with pre-packaged algorithmic functions.
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Automate time-consuming processes
Connect multiple steps into one process and schedule it to run on a regular basis to remove manual, repetitive processes.
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No complex data modeling
Eliminate the need for data cubes, pre-processing and modeling to minimize data analysis-related IT workload and dependency on data scientists.
