The Data Roundtable
A community of data management experts![Four DI modernization mistakes](https://blogs.sas.com/content/datamanagement/files/2016/07/609179193.jpg)
.@philsimon with some recommendations on modernization.
![Modernization and data-driven culture – Part 2 laptop represents modern data-driven culture](https://blogs.sas.com/content/datamanagement/files/2016/07/559007333.jpg)
Modernization is a term used to describe the necessary evolution of information technologies that organizations rely on to remain competitive in today’s constantly changing business world. New technologies – many designed to better leverage big data – challenge existing data infrastructures and business models. This forces enterprises to modernize their approach to data
![Data ops: Better way to prepare data for analytics and IoT? man at computer considering data ops](https://blogs.sas.com/content/datamanagement/files/2016/07/536907883.jpg)
We all find change easier when it starts with something we’re familiar with. That’s why I think sports analytics examples are popular – most of us are sports fans, so we get it more easily. It’s also why automotive examples that illustrate the potential reach of the Internet of Things
![A modernized approach to data lake management water representing data lake](https://blogs.sas.com/content/datamanagement/files/2016/07/42-25573115.jpg)
In my last post, I started to look at the use of Hadoop in general and the data lake concept in particular as part of a plan for modernizing the data environment. There are surely benefits to the data lake, especially when it's deployed using a low-cost, scalable hardware platform.
![Modernization and data-driven culture – Part 1 business people discussing data-driven organizations](https://blogs.sas.com/content/datamanagement/files/2016/07/609179183.jpg)
Modernization is a term used to describe the necessary evolution of information technologies that organizations rely on to remain competitive in today’s constantly changing business world. New technologies – many designed to better leverage big data – challenge existing data infrastructures and business models. This forces enterprises to modernize their approach to data
![Modernization starts at the top Why is data management important? Infographic](https://blogs.sas.com/content/datamanagement/files/2016/07/Data-management-infographic.jpg)
Absent a strong executive presence, most mature organizations will continue to muddle through data integration.