Key Takeaways

• “We know from our chief data officer research and surveys that data and analytics leaders that are involved in strategy development are able to deliver far more business value than those who aren’t.”

• “Data and analytics leaders struggle to optimize business value, and there’s often a lack of alignment to mission-critical priorities.”

• “You as data and analytics leaders need to function as your organization’s ‘chief value officers.’”

• “The ROAR (Risk, Opportunity, Appetite, and Return) Model gives you a systematic way to score both benefits and risks for each initiative and then think about the combination of those initiatives in terms of an optimal portfolio.”

• “While we have models that can help you think through and prioritize, it’s what goes behind those models that’s important. Thinking trumps doing.”

• “Optimizing value from data and analytics is a continuous process. It’s not just a once a year activity, it’s not just a quarterly activity — you need to think about it as central to everything else that you manage.”

Learn how to use data & analytics to re-engineer decision making in the free Gartner e-book “The Future of Decisions.”

Key Takeaways

• “The future of data management is cloud. At the end of 2020, cloud DBMS market revenue was greater than 40% of the total DBMS revenue. Eighty-six percent of the total DBMS market revenue growth in 2020 was cloud-based.” 

• “By 2023, cloud DBMS revenue will account for 50% of the total DBMS market revenue.”

• “Organizations can do platform-as-a-service, infrastructure-as-a-service, software- as-a-service. They can host it or opt for a multicloud environment or even do active data management in between clouds, called intercloud environment.”

• “However, the vast majority of organizations will be in a hybrid cloud world because the on-premises world is not going away.”

• While cloud represents a diversity of choice, it also represents increased complexity. Ecosystems can help organizations cut through this complexity, but they need to consider:

  • Investigating cloud ecosystems for their flexibility in an intercloud world.

  • Planning for a more complex governance and data integration environment.

  • Investing in metadata and governance to be successful.

Key Takeaways

• 1. Adopt Gartner’s “Must Share Data Unless Model”: “Change that ‘don’t share data’ mantra to a mindset where you are going to ‘share data unless’ there is a good reason you shouldn’t.”

• 2. Create a Data Sharing Mindset: “Foster a data sharing culture, not a data ownership fiefdom.”

• 3. Establish Trust-Based Mechanisms: “Share trusted data with trusted partners for responsible downstream data rights and analytics.”

• 4. Embed Data Sharing Within Adaptive Governance: “Adaptive governance determines the right governance mechanisms that will deliver the required business outcome.”

• 5. Promote Data Sharing as a “Business Necessity”: “Digital business requires “the right data at the right time to produce the right insights,” or else it falls flat.”

Learn more on the topic of data sharing in the Smarter With Gartner article, “Data Sharing Is a Business Necessity to Accelerate Digital Business.”