Q-Sensei: Multi-Dimensional Information Management
October 6, 2011
I found the MarketWatch story or news release “Frost & Sullivan Recognizes Q-Sensei’s Innovative Enterprise Search Platform for Providing Relevant Search Results across Information Sources” a buzzword bonanza. The system seems more versatile than Autonomy’s, Exalead’s, and Apache Lucene combined if I believe the story or news release. I am confident some of the azure chip crowd and the former librarians laboring away as search experts will gobble the hook and its plastic worm. Geese eat bread crumbs and trash, by the way.
Before getting to the meat of the story or news release, I noted this sub head:
Q-Sensei Leverages Its Proprietary Search and Indexing Engine to Offer High-Performance, Multi-Dimensional Information Management Capabilities to Deliver Quick ROI for Enterprises.
The story or news release explains that the system:
- Won an award for innovation
- provides a “holistic, multi-dimensional, real time view of enterprise data. (Repetition of the word does not help my understanding, however.)
- Unified access to structure, semi structured and unstructured data
- A simple interface
- Offers the user an ability to collate data available in varied formats across different resources.
I will be talking about the meanings of “real time” and some of the weaknesses these systems hide under a pile of marketing brochures. I find the notion of “data dimensions” interesting, but I am not sure what that means. One of the challenges many systems have is proper time identification. A file stamp is one time, but when the document was written to a storage device is another. There is also the interesting challenge of a document changed offline and then a week later written to the device monitored by a system. Presumably Q-Sensei can handles these different time issues.
The write up also tosses in the MBA tattoo, ROI. Search is being embedded, morphed, and marginalized. I am not sure how one calculates ROI in an organization today, particularly if the company is losing money or disappointing investors who have watched their cash disappear. I suppose there is a negative ROI, but that is not mentioned in the story or news release.
If you want more information about this “easy to implement” system, navigate to the firm’s Web site. You can get more lingo like “haystacks”, multi-dimensional, and ROI. Q-Sensei’s Search and Presentation Engine is protected by U.S. Patents 7,080,059 and 7,680,777. More information can be found at www.qsensei.com.
Stephen E Arnold, October 6, 2011
Sponsored by Pandia.com
Comments
2 Responses to “Q-Sensei: Multi-Dimensional Information Management”
-
- Subscribe to Beyond Search
Feature archive
News archive
-
Dear Stephen,
We would welcome giving you a demo at your earliest convenience to share with you the substance behind the semantics you highlighted from Frost & Sullivan’s release.
On a related note, we’d like to also share with you our RSS search capability that is part of Q-Sensei’s Enterprise Search Platform. We agree with you that it is one of the key areas for search, as you detailed in your article, The Future of Enterprise Search Solutions. http://bit.ly/ovR1fi.
Thanks for your time.
Sincerely,
The Q-Sensei Team
[…] Q-Sensei: Multi-Dimensional Information Management […]