We have often discussed the concept of using an iterative methodology when constructing a data warehouse, and have detailed the benefits of such an approach: better alignment with business needs, faster delivery of results, better return on the investment and overall lower development costs, just to name a few. However, it is also important to […]
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Entries by Diana Collins
Last week Kalido hosted a webinar entitled “Data Scientist: Your Must-Have Business Investment NOW.” The panelists (Carla Gentry, David Smith and Gregory Piatetsky) spoke eloquently about the role of the Data Scientist and the types of analysis they perform.
If you accept the concepts of Agile Data Warehousing you quickly will discover that the traditional toolset (modeling tools, ETL tools, etc.) bring little to the table to advance an agile methodology. As we saw in part one, acquiring a pre-built model can help focus some of the requirements gathering, but it does little to […]
Data warehouses are hard to build. The goal, of course, of any data warehouse is to house all the data required to provide the business with the answers needed to run the business effectively. The problem is that the questions keep changing and evolving.
There is a lot of interest in unstructured data these days. Whether this is the more “traditional” forms like video and other large bit-stream objects or things like clickstream data from the web, lots of people are devoting lots of time and effort towards the creation and management of systems to collect and store this […]
Implementing an effective Master Data Governance solution can be tough…you have to deal with corporate culture, getting management support, formulation policies, implementing rules and much more. However, a less commonly addressed question is: “Who will own the governed data?”
If you ask most people involved with information management and data governance if they understand data quality you would get a resounding “yes!” However, the true definition of what constitutes quality data is a very complex and subtle one. Data that is “high quality” for the purpose of, say, operations may be nearly useless for […]
I read with interest Beth Schultz’s recent blog about Agile BI and its connection to Agile Integration. I would take it even further, to include nearly all aspects of the information infrastructure – in other words, “Agile Everything.”
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