I recently attended the second annual “Canonical Model Management Forum” at the Washington Plaza Hotel in Washington, DC (see here for my post about last year’s, first meeting, including Forrester’s definition of canonical modeling). Enterprise or information architects from a number of government agencies as well as several of the major banks, insurance companies, retailers, credit-card operators, and other private-sector firms attended the meeting. There was one vendor sponsor (DigitalML, the vendor of IgniteXML). There were a number of presentations by the attendees about their environments, what had motivated them to establish a canonical model, how that work had turned out, and the important lessons learned.
Last year I also had some recent Forrester survey results to share – we have not yet rerun that survey, but we are on the verge of rerunning it, so I’ll post some key results from that once the data is available.
Last year’s post is still the place to go to get the general overview about why to do canonical modeling, the main use cases, some areas of controversy (still raging), and a list of best practices I heard attendees agree upon.
What’s New In 2011?
Based both on what I heard at this meeting and on other recent interviews:
Today we’re kicking off Forrester's IT Forum 2011 at The Palazzo in Las Vegas. Prepare for three exciting days of keynote presentations and track sessions focused on business and technology alignment. Use the Twitter widget below to follow the Forum conversation by tracking our event hashtag #ITF11 on Twitter. Attendees are encouraged to tweet throughout the Forum and to tweet any questions for our keynote presenters to #ITF11.
“Big Data” is coming up more often on the agendas of key vendors as well as some of the more-advanced users of information management technology. Although some of this increased activity reflects PR calendars – companies promote new offerings in the Spring – there’s more than that going on. The range of design patterns that fall under this large umbrella are genuinely on the increase in a wider range of usage scenarios, driving continuing innovation from both technology providers and users. In part because of the frequent use of open source technology such as Apache Hadoop to implement “Big Data,” this is the type of innovation the industry most needs at this early stage of the market. A few key data points: