In response to my colleague Stephen Pace’s blog post about the lack of a “magic quadrant” for data warehouse automation, we’re happy to report that industry analyst coverage of this growing market segment has finally occurred!
Lately we’ve been spending a fair amount of time talking to banks and investment firms about their information management challenges. One industry insider recently summed it all up for me by stating that organizations in this industry are motivated by one of two things – fear or greed. It might sound a bit crass, but that’s not a bad thing and I think it reflects the reality of the market we all, not just banks and investment firms, operate in.
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In 2012, we surveyed attendees at TDWI World Conferences regarding topics related to data warehousing: how they handle change, how long it takes to deploy new data, costs associated with supporting the data warehouse and so on. Over this period we received well over 500 responses and have blogged about it and shared information in other places such as infographics on our website. Read more
When I got involved with Kalido over 15 years ago, we had big plans to change the world of data warehousing, and we still do. However, one frustration we’ve had over the years is recognition from the major analyst firms that how we build data warehouses is fundamentally different and merits a “Quadrant” or “Wave” of our own. In a nutshell, we think that the old way of building models with ER modeling tools, having DBAs create physical tables from those models, and then hardcoding the population of those tables with an ETL tool can never allow a business to be as agile as they need to be. Read more
