Business Objects and Inxight
Analysis of text analytics pioneer Inxight, recently acquired by Business Objects, which itself was acquired by SAP. Also covered are Business Objects’ partnerships with text mining vendors such as Attensity. Related subjects include:
(A little) more on Business Objects/Inxight
After missing what seems to have been an uninformative press conference anyway, I hooked up later with the Business Objects folks on the phone. I say that it was probably uninformative because in the short call, it was pointed out to me that they really weren’t at liberty to say much anyway. Here are a couple of tidbits I picked up even so.
- Business Objects’ text mining partnerships have been more demo/sales-cycle than actual sales up until now. That said, they have a few deals each with Attensity and Inxight (but not with ClearForest, which pulled in its horns prior to being acquired by Reuters). I still think they’re the leading BI vendor in integrating with text mining, SAS perhaps aside (who if nothing else have a lot of fun using text mining for data cleaning). The working Inxight partnership, by the way, was all about the specific app of email compliance, with the demo being based on the publicly available Enron corpus.
- Inxight’s visualization technology is in the form of an SDK anyway. So integrating it into BOBJ’s product line should be straightforward. Note: Through the Excelsius acquisition, BOBJ has been trying to gain competitive advantage in the cool-visualization area.
- Inxight’s “federation” capability for search is pretty primitive (my term and opinion of course, not theirs). It takes in search result sets from various sources, then clusters and/or refilters them. What it does NOT do is the much harder task of taking actual relevancy rankings from various engines and somehow arbitrating between them. Nor, I’m guessing, does it even assign higher or lower weights to various corpuses or anything like that. Thus, it does not sound terribly competitive with the distributed search capabilities built into any state-of-the-art enterprise search engine.
| Categories: Attensity, Business Objects and Inxight, ClearForest/Reuters, Enterprise search, SAS, Search engines, Text mining | 5 Comments |
Business Objects is acquiring Inxight!
The press conference is a little ways off, but the news has come across the wire that Business Objects is acquiring text analytics/text mining vendor Inxight.
Quick context on Business Objects: BOBJ is a pioneer — perhaps THE pioneer — of modern business intelligence. Recently it has gone on an acquisition-heavy bulking-up strategy. There is no assumption that ALL its pieces will fit into one seamless whole. For large enterprises, it is increasing its professional services emphasis (as a complement to new license sales, not a replacement for them).
Quick context on Inxight: Inxight spun off from Xerox PARC with all sorts of cool text-related technologies. But while it’s somewhat of a competitor in generic text mining, visualization, and so on, the one market where it has really succeeded is in OEM software for filtering and tokenization, serving search and text mining vendors alike. Read more
| Categories: BI integration, Business Objects and Inxight, Companies and products, Text mining | 1 Comment |
TEMIS, part 1 – overview
Due to various transatlantic communication glitches, I’d never had a serious briefing with text mining vendor TEMIS until yesterday, when I finally connected with CEO Eric Bregand. So here’s a quick TEMIS overview; I’ll discuss what they actually do in a separate post.
- TEMIS has 50 people; 3 main businesses and a couple of secondary ones; two larger offices in France; and smaller offices in Germany and the US. As would be expected, TEMIS’ customer base is concentrated in Continental Europe. The US exceptions seem concentrated in the life sciences vertical (not coincidentally, the US office is outside Philadelphia).
- Like Inxight, TEMIS is at least partly a spin-off from Xerox’s text analytics efforts. Indeed, its Grenoble office was acquired from Xerox. Unlike Inxight, TEMIS doesn’t serious pursue OEM business, but a couple of exceptions have occurred (Eric mentioned Convera and Documentum). Read more
| Categories: Business Objects and Inxight, IBM and UIMA, TEMIS, Text mining | 2 Comments |
Text mining and search, joined at the hip
Most people in the text analytics market realize that text mining and search are somewhat related. But I don’t think they often stop to contemplate just how close the relationship is, could be, or someday probably will become. Here’s part of what I mean:
- Text mining powers search. The biggest text mining outfits in the world, possibly excepting the US intelligence community, are surely Google, Yahoo, and perhaps Microsoft.
- Search powers text mining. Restricting the corpus of documents to mine, even via a keyword search, makes tons of sense. That’s one of the good ideas in Attensity 4.
- Text mining and search are powered by the same underlying technologies. For starters, there’s all the tokenization, extraction, etc. that vendors in both areas license from Inxight and its competitors. Beyond that, I think there’s a future play in integrated taxonomy management that will rearrange the text analytics market landscape.
| Categories: Attensity, Business Objects and Inxight, Enterprise search, FAST, Google, IBM and UIMA, Ontologies, Open source text analytics, Search engines, Text mining | 3 Comments |
Pioneers moving on
Ramana Rao is leaving Inxight, or has by now. Today I also discovered that Todd Wakefield is leaving Attensity. Such things happen in all industries, of course.
| Categories: Attensity, Business Objects and Inxight, Text mining | Leave a Comment |