October 10, 2007
MDM Publishing
October 10, 2007
Recently, I gave a presentation at the Gartner MDM Summit on how enterprise information management (EIM) enables master data management (MDM) solutions. A common question asked by the attendees at the conference was, "What are the capabilities of MDM systems to publish data?" This question was asked in a general sense, of course, because the capability of any given MDM system to publish data will vary from solution to solution.
Let's look at this question and define the term "publish." The purpose of an MDM system is to create, maintain, distribute, and otherwise manage master data. "Distribute" is the key word here. How do you get the information out of an MDM system and distribute it to the applications that need it?
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Posted by Frank Dravis at 5:12 PM | Comments (0)
September 10, 2007
Business Objects to Acquire FUZZY!
September 10, 2007
In case you missed the press release, Business Objects has announced the intent to acquire FUZZY! Informatik. FUZZY!, which I will abbreviate to Fazi, is the leading data quality software vendor in Germany. Amongst other capabilities, Fazi has address assignment engines for 31 different European regions &ndash, from Portugal in the west to the Baltic States and Russia in the east. More importantly, these engines use address data from each country to process customer records in double-byte (Unicode) format and in the native language and computer encoding of that region.
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Posted by Frank Dravis at 6:58 PM | Comments (0)
August 21, 2007
Unstructured to Structured Data
August 21, 2007
Some of you may have heard that Business Objects acquired Inxight, a text analytics software company. In short, text analytics &mdash, in this case &mdash, is the ability to scan through unstructured text, perhaps a whole book, and parse the inherent facts, entities, and actions into a series of structured records. Yes, before the experts start E-mailing me, there is little true unstructured text. A newspaper article, for example, has substantial structure (title, paragraphs, sentences, context, diction, etc.) that the human mind uses to interpret what is said. However, the data is not parsed out into nice discrete database fields that we can search on, analyze, and otherwise manipulate.
The possibilities are endless when you integrate a robust text analyzer with an ETL application, routing in such a way that the output of the analyzer is routed into a sophisticated data classifier, categorizer, and standardizer.
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Posted by Frank Dravis at 7:46 PM | Comments (0)
