Data governance doesn’t have to be the enemy of innovation. The two concepts can exist in harmony but require some important features to be in place to succeed.
- By Troy Hiltbrand
- October 17, 2022
As big data becomes more commonplace, it is important for data management teams to be able to understand where NoSQL fits into their architectures.
- By Troy Hiltbrand
- August 5, 2022
Analytics organizations that make the effort to support their sales teams can elevate their status within an organization.
- By Troy Hiltbrand
- May 31, 2022
Operationalizing machine learning models requires a different process than creating those models. To be successful at this transition, you need to consider five critical areas.
- By Troy Hiltbrand
- February 14, 2022
If you want to monetize your data, you need to start thinking like a product manager.
- By Troy Hiltbrand
- November 15, 2021
Now is a great time to find data science talent by expanding your search from the mainstream to the periphery.
- By Troy Hiltbrand
- October 14, 2021
Finding the right data science tools is paramount if your team is to discover business insight. Here are five things to look for when you search for your next data science platform.
- By Troy Hiltbrand
- August 9, 2021
Business intelligence engineers are responsible for building out the architecture and infrastructure that meets the organization's needs. Here are five key areas to evaluate when trying to determine which business intelligence platform is right for you.
- By Troy Hiltbrand
- July 9, 2021