Gartner, Inc. identified the top 10 data and analytics (D&A) trends for 2023 that can guide D&A leaders to create new sources of value by anticipating change and transforming extreme uncertainty into new business opportunities.
Value Optimization
Data and Analytics (D&A) leaders focus on delivering measurable business value through integrated value-management competencies, aligning initiatives with critical organizational priorities.
Managing AI Risk
As AI adoption grows, companies prioritize effective AI governance and responsible practices to mitigate risks like ethical concerns and data fraud
Observability
Emphasizing understanding and answering questions about D&A systems' behavior, observability enables faster problem-solving and data-driven decision-making.
Data Sharing Is Essential
Organizations embrace internal and external data sharing, creating data products and adopting data fabric design for seamless sharing across various sources.
D&A Sustainability
D&A leaders optimize their processes for sustainability, reducing energy footprint and using eco-friendly practices like renewable energy and energy-efficient hardware.
Practical Data Fabric
Leveraging metadata for data management, data fabric empowers business users and citizen developers with actionable insights and recommendations.
Emergent AI
The rise of emergent AI, exemplified by generative AI like ChatGPT, revolutionizes scalability and adaptability, making AI more pervasive and valuable.
Converged and Composable Ecosystems
D&A ecosystems become modular, adaptable, and streamlined, meeting evolving business needs through seamless integrations and technical interoperability.
Consumers Become Creators
Predefined dashboards give way to dynamic, conversational, and embedded user experiences, empowering content consumers to become content creators.
Humans Remain Key Decision Makers
While AI aids decision-making, organizations recognize the importance of human involvement and data literacy to maintain ethical and purpose-driven decisions.
2023 D&A trends: value optimization, AI risk management, data observability. Share data, sustainability, practical fabric rise. Emergent AI, converged ecosystems, consumers as creators. Humans key for responsible decisions. Embrace for growth & innovation.