Data Management. Master Data. Data Governance. Metadata. Data Quality. 
 
Let’s face it. The data language we use can be hard to keep up with, even for those of us in the data community. The list of “data words” goes on and on, and it feels like there are new terms added every year. As data professionals, we may be able to communicate with each other effectively using this language, but these words simply won’t hit the mark when trying to communicate with most business leaders. 
 
And, while we may firmly believe that our data management efforts will add tremendous value to our business leaders, the hard part is getting them to believe it too. If you’re struggling to get business buy-in for your data management efforts, it might be because you’re not speaking their language. 
 
In this session, we’ll dig deeper into the language barrier that we often face when trying to drive data management initiatives, and you’ll learn practical techniques for bridging the gap. 

Speaker: Scott Garner 

Data Strategy Consultant, Global Data Strategy 

Scott Garner is a Data Consultant for Global Data Strategy, specializing in helping organizations harness the value of data to drive key initiatives. Prior to joining Global Data Strategy, he was a Data Strategy Consultant at Dun & Bradstreet, helping Fortune 500 companies navigate some of their more complex data management challenges. 

Before moving into consulting, Scott was a data management leader and practitioner for Dell Technologies, and then National Instruments, where he supported the development and execution of a multi-year master data management initiative to support a shift in the company’s go-to-market strategy.