OpenText IDOL Unstructured Data AnalyticsFormerly Micro Focus IDOL
Overview
What is OpenText IDOL Unstructured Data Analytics?
OpenText™ IDOL Unstructured Data Analytics is an advanced search, knowledge discovery, and analytics platform. It uses AI and machine learning to leverage key insights stored deep within unstructured data—including text analytics, audio analytics, video analytics, and image analytics.
Pricing
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- No setup fee
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- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Demos
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Product Details
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- Competitors
- Tech Details
What is OpenText IDOL Unstructured Data Analytics?
OpenText IDOL Unstructured Data Analytics Competitors
OpenText IDOL Unstructured Data Analytics Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Comparisons
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Reviews
Community Insights
- Pros
- Cons
Seamless integration: Users have praised the seamless integration of Micro Focus IDOL with their existing applications, allowing them to easily access insights reports. This feature has been noted by multiple reviewers and enhances team collaboration while solving critical connectivity challenges.
Advanced analytics tools: Several reviewers found the advanced analytics tools in Micro Focus IDOL to be particularly helpful for identifying trends and gaining insights into customer outlook. The ability to make data-driven decisions that drive business growth is highly valued by users who appreciate this feature.
Quick search functionality: Reviewers have appreciated the quick search functionality of Micro Focus IDOL, which speeds up the resolution of incidents and helps perform data analysis visually. This feature has been mentioned by more than one reviewer as a key benefit of using the software.
Lagging Performance: Users have experienced lag while working on HLASM and Ezt modules which can be frustrating when trying to complete tasks efficiently.
Unpredictable Search Engine: Some users found the search engine difficult to use as it can be unpredictable and not always able to find the desired solution. They suggested that further refinement could make it more precise.
Steep Learning Curve: The software requires a long time to learn all the ins and outs, making it challenging for new users or those unfamiliar with similar software.