Tony Brownlee

With CDO’s and their teams enabling business success across every aspect of the business, has the time come for them to get a permanent seat at the table? With the average tenure of a CDO being around 2-3 years, proving value from the get-go is imperative. Join us as we explore if the time has come for CDO’s to step outside of operations or technology and be directly tied to the business. We will explore: 

• Ways to understand your business better to highlight the best actionable goals and objectives.  
• Creating roadmaps to success for each data team by connecting them with the appropriate business counterpart. 
• Creating an environment of proactivity for finding and addressing issues across the enterprise.  
• What being considered your own business team means for the hierarchy of reporting. 
• How AI is impacting the evolution of data analytics teams.  

Many enterprises have a long way to go before they reach a level of data maturity that allows them to take full advantage of new tools and capabilities like AI. One big reason that many companies aren’t where they need to be is because they are trying to sprint ahead when they really should be ensuring their data management fundamentals are in order. Data quality issues, improper master data management, weak data security (to name a few) are part of the data management fundamentals that will hold up any innovative initiative and will undoubtedly create problems for you down the road if not adequately addressed. This keynote will explore the reasons why going back to the basics of data management is a crucial step that enterprises should constantly revisit if they are to successfully innovate and leverage new technologies.  

As more data leaders are becoming embedded in business units, learning to understand how to communicate and collaborate with lines of business effectively will be how data teams will have to continue to show value. It’s not always easy to connect dots between technology, data and business needs, and so, this talk will highlight ways that data leaders and their business partners can understand each other better and lay out a blueprint for effectively communicating data and business needs.