Data Management 20/20: Rationalizing Complex Business Terms
Common Business Term Problem Symptoms Much of the information assets of an organization are captured in business glossaries which are the compendiums of …
Zen and the Art of Data Maintenance: People Silos Cause Data Silos
With the exponential growth of data from so many different sources, data silos (or in other words, separate unintegrated data stores) are more prevalent than …
Tectonic Shifts in Data and Analytics
As more companies invest in data and apply analytical insights, they start to demand better products and services from their vendors. Why should a business use …
Data Professional Introspective: Why You Can’t Create an EDM Strategy
Some countries successfully create long-term strategic plans. For example, China’s first 100-year plan was aimed at the elimination of extreme poverty by …
Excerpt from Data Leadership – Stop Talking About Data
Data Leadership hasn’t really been addressed before in the way I am talking about it in my new book; it is not about data at all — it is all about changing …
You Need a Better Data Management Solution
Become a “Data-First” Company The organizations that invest in data first and foremost are changing the business landscape. Apple had famously …
The Difference Between Open Data and Public Data
Is there a difference between open data and public data? Yes. And it’s a big one. There is a general consensus that when we talk about open data, we are …
Data Management 20/20: Business Glossary Best Practices
It’s all about communication. Everyone talks about collecting, storing, and analyzing data but how do you make use of this data if you cannot understand it? …
DAMA International Community Corner: Updates from DAMA-I
Good day from DAMA International. We hope your Data Management career and programs are progressing well. If you have issues, please refer to DAMA.org for …
Zen and the Art of Data Maintenance: Situational Fluency in Data Management
How to Act Wisely in Difficult Circumstances that We Often Face Our job in data management can certainly be challenging. And an infinite number of situations …