Interview with InfoGovWorld’s Robert Smallwood
[Seiner] Robert, I am glad that you have agreed to be interviewed for the pages of TDAN.com. Please introduce yourself to the TDAN.com readers and tell us …
DAMA International Community Corner: DAMA Community Update
Greetings to the DAMA Community from Peter Aiken, President, DAMA International! As we wind down this Board’s short (2-month) tenure, I wanted to offer a …
Every Data Picture Tells a Story
This blog’s title is very similar to the name of a famous Rod Stewart album that contains a signature song of the same name at its core. When it comes …
The Marriage of Metadata and Data Governance
Data governance is the people, process, and technology required to create a consistent and proper handling of an organization’s data throughout the entire …
Machine Learning is Transforming Logistics
Machine learning has become a new bandwagon for logistic professionals nowadays. If you are shipping out goods to any part of the world, then that means you …
Ask the Data Governance Coach: A Lean Approach to Data Governance
As I may have mentioned in the past, getting a data governance initiative started can be extremely challenging. This is particularly true if you work in an …
Tales & Tips from the Trenches: Agile Data Summary
Welcome to the wrap-up column in our series on applying Agile techniques to data projects in our Tales and Tips from the Trenches Column. The column’s goal …
Many Flavors of DGIQ – 2018 Conference Recap
This June, I had the pleasure of attending the 2018 Data Governance and Information Quality (DGIQ) conference in San Diego at the Catamaran Resort Hotel, for …
All in the Data: Achieving “Good Data” – Pt 2 Improving Data Production
Many organizations focus their data governance programs on improving their data for analytical purposes. A problem they are running into is that their data has …
Data-Driven or In Disguise
Walk into any boardroom or executive committee meeting, and there’s a good chance you’ll hear someone talking about data. And it’s no wonder. Data— and …