Try this. Think back through all the data warehouse, MDM, BI and other assortment of data management projects that you’ve been involved in. Can you think of a case in which an entire enteprise adopted a single definition of customer? Or a single definition of product? Your project team might have put together a definition. [...]
This is my third and final post in my series about what to look for in your master data management solution. The first topic was about modeling your master data, the second was mastering the data, and this one is about governing the master data. As you have read elsewhere in the Kalido Conversations blog, [...]
In my last post, I discussed how important it is to be able to effectively model your master data. In this, the second in a series on the topic of master data, I want to discuss how you need to master it. By “master it,” I am referring to the workflow-driven process steps people go [...]
A recent Information Management article raised a number of issues with data warehouses and why they are such time-consuming projects. According to the article, the main reasons are primarily around changing scope, data quality and ETL design. I’ve discussed how to handle the scope and design issues in earlier posts about business modeling. Over the [...]
I just read a recent article in Information Management entitled “Who in the World Needs a Data Warehouse?” On seeing the title, I immediately thought this would be an article about how companies can simply load their data in memory to avoid building a data warehouse entirely. As I suspected, that is the author’s proposed [...]
