Learn how to design a data management system that cannot only optimally integrate data across a multicloud hybrid ecosystem but also automate data engineering tasks to reduce complexity and optimize business outcomes and value.
Complete the form to get your free copy.
The Gartner Priorities Navigator represents mission-critical areas where Gartner provides supportive expert advice and tools to chief data and analytics officers (CDAOs) and their teams.
Gartner provides insight, tools and guidance to support four key needs of CDAOs: lead a word-class D&A organization, drive quantifiable value with D&A solutions for the business, build trust and mature D&A culture, and evolve technology and process capabilities to support D&A.
Learn more about how Gartner supports your priorities.
Values and outcomes, as the focus of governance activities
Accountability and decision rights, to enable achievement of business outcomes
Trust, allowing governance of information asset types, based on materiality, lineage and curation
Transparency and ethics, tracing clear decision-making processes and ethical foundations
Risk and security, treated as inherent aspects of a governance framework, not afterthoughts
Education and training, and the role they play in communicating required behavioral changes
Collaboration and culture, promoting governance outcomes through community and innovation
Understand your purpose and performance needs; don’t overdeliver or underdeliver.
Establish data governance and accountability.
Baseline the greenhouse gas (GHG) or carbon footprint of your data, and apply the principle of materiality.
Be relentless in removing data that is no longer required, or is of low value.
Ensure the quality of data close to the point of origin.
Store data on the most passive storage medium suitable to its purpose.
Avoid unnecessary data duplication.
Optimize data movement.
Minimize the amount of data processed to achieve analytic goals.
Host data in energy-efficient and low-carbon data centers.
Many organizations begin by attempting to choose between fabric or mesh. This is a false dichotomy and should be avoided — they work together.
Both fabric and mesh benefit most from considerations of not only the data but also the existing infrastructure to eliminate “rip and replace” thinking and instead “leverage and reuse” existing infrastructure components.
Pick specific areas where the fabric approach is best and control for common issues, then do the same for mesh.
Join your peers for the unveiling of the latest insights at Gartner conferences.
Drive stronger performance on your mission-critical priorities.
