The Data Roundtable
A community of data management experts![Modernization requires unification](https://blogs.sas.com/content/datamanagement/files/2016/08/468839495.jpg)
![Who was that masked data?](https://blogs.sas.com/content/datamanagement/files/2016/08/42-20358875.jpg)
Data access and data privacy are often fundamentally at odds with each other. Organizations want unfettered access to the data describing customers. Meanwhile, customers want their data – especially their personally identifiable information – to remain as private as possible. Organizations need to protect data privacy by only granting data access to authorized
![Crowdsourcing data assets in the data lake man in server room contemplating data lakes](https://blogs.sas.com/content/datamanagement/files/2016/08/139813632.jpg)
A long time ago, I worked for a company that had positioned itself as basically a third-party “data trust” to perform collaborative analytics. The business proposition was to engage different types of organizations whose customer bases overlapped, ingest their data sets, and perform a number of analyses using the accumulated
![ETL and data warehouses are dead! Long live ETL and data warehouses!](https://blogs.sas.com/content/datamanagement/files/2017/01/DataMgt-2.png)
Why they will still play a valuable role in organizational data-management and -integration efforts.
Today, I was in a conversation about using Hadoop (a big data platform) for master data management (MDM). I still find it amazing when we have the discussion of what systems feed another system. Many of our friends have spent years creating MDM for customer, product, etc. with success. I'm a
In my last post, I talked about how to observe the impact of modernisation through a data quality lens. I asked you to consider the quality of your legacy data and what that means on the "shiny new toy" you intend to buy in the future. In this post, I