Text mining SaaS
Analysis of text mining software provided on a SaaS (Software as a Service) basis. Related subjects include:
- Text mining
- (in DBMS2) Other database management or analytic SaaS
- (in The Monash Report) Application SaaS and strategic issues in SaaS
Attensity update
I had a brief chat with the Attensity guys at their Teradata Partners Conference booth – mainly CTO David Bean, although he did buck one question to sales chief Jeff Johnson. The business trends story remained the same as it was in June: The sweet spot for new sales remains Voice of the Customer/Voice of the Market, while on-premise/SaaS new-name accounts are split around 50-50 (by number, not revenue).
David’s thoughts as to why the SaaS share isn’t even higher – as it seems to be for Clarabridge* – centered on the point that some customers want to blend internal and external data, and may not want to ship the internal part out to a SaaS provider. Besides, if it’s tabular data, I suspect Attensity isn’t the right place to ship it anyway.
*Speaking of Clarabridge, CEO Sid Banerjee recently posted a thoughtful company update in this comment thread.
When I challenged him on ease of use, David said that Attensity is readying a Microstrategy-based offering, which is obviously meant to compete with Clarabridge and any of its perceived advantages head-on.
Categories: Application areas, Attensity, Clarabridge, Competitive intelligence, Software as a Service (SaaS), Text mining, Text mining SaaS, Voice of the Customer | 1 Comment |
Intro to Lexalytics
I chatted with Lexalytics CEO Jeff Catlin at the Text Analytics Summit today. Lexalytics is a 14 person company, which represents a doubling over last year. Jeff thinks Lexalytics is on track this year to double again.
Lexalytics’ main business is OEMing sentiment extraction, e.g. to the many blog-analysis/reputation-management (i.e., Voice of the Market) companies that recently started up and in some cases have been bought by big market analysis firms. Lexalytics can and sometimes does extract the more basic stuff as well, but sentiment analysis is the heart of its business. A partial customer list can be found on the Lexalytics site. Lexalytics extracts in the English language only. Read more
Categories: Competitive intelligence, Lexalytics, Sentiment analysis, Text Analytics Summit, Text mining, Text mining SaaS | 1 Comment |
Attensity update updated
I chatted a bit with Attensity’s CTO David Bean and sales VP Jeff Johnson yesterday at the Text Analytics Summit. Jeff confirmed what has colleagues had already told me — most of the action is now in Voice of the Customer/Market, he expects a very strong June quarter, etc. But one thing I posted last week wasn’t quite right. Hosted implementations (i.e., SaaS) haven’t yet reached the 50% level at Attensity. However, they are indeed growing fast, and they’re all (or almost all) in the Voice of the Customer/Market area.
Categories: Attensity, Competitive intelligence, Software as a Service (SaaS), Text Analytics Summit, Text mining, Text mining SaaS, Voice of the Customer | 4 Comments |
Attensity update
I chatted recently with David Bean, Attensity’s CTO, and then with marketing exec Phil Talsky. Highlights included: Read more
Categories: Application areas, Attensity, Clarabridge, Competitive intelligence, Software as a Service (SaaS), Text mining, Text mining SaaS, Voice of the Customer | 6 Comments |
Clarabridge’s customer-experience applications
I talked with text mining SaaS vendor Clarabridge’s CEO Sid Banerjee today. Part of the call covered applications and markets for Clarabridge’s technology. Highlights included: Read more
Categories: Application areas, Clarabridge, Software as a Service (SaaS), Text mining, Text mining SaaS, Voice of the Customer | Leave a Comment |
Clarabridge is now all about text mining SaaS
Clarabridge CEO Sid Banerjee called with some product news that is embargoed until the Text Analytics Summit, and which I hence won’t write about at this time. But during the call, I discovered something interesting – Clarabridge’s hosted/SaaS (Software as a Service) text mining offering has taken over its business. Highlights of the call included: Read more
Categories: Clarabridge, Software as a Service (SaaS), Text mining, Text mining SaaS | 2 Comments |
Clarabridge does SaaS, sees Inxight
I just had a quick chat with text mining vendor Clarabridge’s CEO Sid Banerjee. Naturally, I asked the standard “So who are you seeing in the marketplace the most?” question. Attensity is unsurprisingly #1. What’s new, however, is that Inxight – heretofore not a text mining presence vs. commercially-focused Clarabridge – has begun to show up a bit this quarter, via the Business Objects sales force. Sid was of course dismissive of their current level of technological readiness and integration – but at least BOBJ/Inxight is showing up now.
The most interesting point was text mining SaaS (Software as a Service). When Clarabridge first put out its “We offer SaaS now!” announcement, I yawned. But Sid tells me that about half of Clarabridge’s deals now are actually SaaS. The way the SaaS technology works is pretty simple. The customer gathers together text into a staging database – typically daily or weekly – and it gets sucked into a Clarabridge-managed Clarabridge installation in some high-end SaaS data center. If there’s a desire to join the results of the text analysis with some tabular data from the client’s data warehouse, the needed columns get sent over as well. And then Clarabridge does its thing. Read more
Categories: BI integration, Clarabridge, Comprehensive or exhaustive extraction, IBM and UIMA, Software as a Service (SaaS), Text mining, Text mining SaaS | 1 Comment |
Interesting comment thread on reputation tracking
Techcrunch blogged skeptically about Umbria’s* service, specifically its partnership with PR Newswire. The comment thread had a fair amount of pushback, largely from vendors with skin in the game.
*Note: Umbria has a non-obvious URL.
I haven’t actually spoken with Umbria — uh, guys, why not? — but they seem to have a reputation tracking service. Their niche is apparently to quantify/measure by a variety of metrics, and that’s supposedly what makes their service (and their competitors’) worthwhile. Read more