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 […]
Author Archive for: Diana
About Diana Collins
MDM & DW Automation Product Manager at Magnitude Software
Key responsibilities include acting as an external and internal champion for Magnitude’s MDM andf Data Warehouse Automation offerings, delivering presentations at conferences, with customers, and at users’ groups, and writing technical white papers, blogs and thought leadership articles. I also provide active support for MDM & DW sales opportunities by leading solution workshops, demonstrations and overcoming sales objections. I am also tasked with leading the integrated product management process for the MDM & DW product line, across all functional areas within Magnitude to ensure new releases are successfully introduced to the market and to present, demonstrate and represent the product offerings to industry analysts in order to achieve positive market awareness and coverage of Magnitude’s MDM/DW offering.
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.”
(Updated October 2018) If you believe that better data quality has huge business value, and you believe the old axiom that you cannot improve something if you cannot measure it, then it follows that measuring data quality is very, very important. And it’s not a one-time exercise. Data quality should be measured continuously to establish […]