OpenText Knowledge Discovery (IDOL) is an AI-driven platform for advanced search, knowledge discovery, and analytics, analyzing unstructured data through text, audio, video, and image analytics.
| Product | Mindshare (%) |
|---|---|
| OpenText Knowledge Discovery (IDOL) | 6.1% |
| Elastic Search | 12.0% |
| Lucidworks | 6.3% |
| Other | 75.6% |
Leveraging AI and machine learning, OpenText Knowledge Discovery (IDOL) provides insights from unstructured data. It transforms diverse data types into actionable intelligence, enabling businesses to improve decision-making processes. With integrated analytics, users gain significant value by tapping into hidden data insights across text, audio, video, and images.
What are the most important features of OpenText Knowledge Discovery (IDOL)?OpenText Knowledge Discovery (IDOL) is widely implemented across industries such as finance, healthcare, and legal services. In finance, it supports risk management by analyzing diverse data streams for anomalies. Healthcare sectors use it to enhance patient care through comprehensive data analysis. Legal services gain from its ability to sift through massive volumes of documents, aiding timely and informed decisions.
OpenText Knowledge Discovery (IDOL) was previously known as Micro Focus IDOL, HPE Autonomy IDOL, HPE IDOL.
RTVE, Krungthai Bank, Kainos, Capax Discovery
| Author info | Rating | Review Summary |
|---|---|---|
| Team Lead Solutions Architect at IMEXPERTS DO BRASIL | 4.0 | No summary available |
| Sr Technical Director at a tech vendor with 10,001+ employees | 4.5 | I've used IDOL for five years, valuing its unstructured data processing. Setup was straightforward, and deployment issues were quickly resolved. Customer service is good, but technical support could improve. I'd like better native key view capabilities. |
| Senior Technical Administrator at a insurance company with 10,001+ employees | 4.5 | I value the connectors and CFS, noting speed improvements over older Fetch architecture. I'd appreciate best practices for optimizing Lua Scripting configuration to prevent CFS processing slowdowns. |
| IT Analyst at a tech services company with 1,001-5,000 employees | 4.0 | I've seen a 30% improvement in search success and productivity using this solution for a year. Its extraction features are valuable, and it's stable. However, on-premise installation is complicated, and documentation could be better. |
| Manager at a tech services company with 1,001-5,000 employees | 4.0 | We quickly implemented this enterprise search solution, centralizing information despite initial SSO and complexity challenges. Early ROI shows over 50% improvement in satisfaction and content finding, though mobile-friendliness is a needed enhancement. |
