Top 10 data and analytics trends for 2023

Business and IT leaders need to incorporate trends into their D&A strategies

Gartner, Inc. has identified the top 10 data and analytics (D&A) trends for 2023 that can enable D&A leaders to unlock new sources of value and capitalize on business opportunities amidst uncertainty. These trends emphasize the need for delivering measurable value at scale, managing AI risks, enhancing observability, embracing data sharing, driving sustainability, and more.

At the Gartner Data & Analytics Summit in Mumbai, Gartner analysts shared insights on these trends, urging business and IT leaders to incorporate them into their D&A strategies.

Trend 1: Value Optimization D&A leaders often struggle to communicate the value they provide in business terms. Value optimization requires building value stories that establish clear connections between D&A initiatives and mission-critical priorities.

Trend 2: Managing AI Risk The increased use of AI introduces new risks that must be managed effectively. This involves mitigating ethical risks, addressing data poisoning or fraud detection circumvention, and implementing AI governance and responsible AI practices to build trust.

Trend 3: Observability enables organizations to understand the behaviour of their D&A systems and answer questions about their performance. By reducing the time to identify performance issues and making data-driven decisions, observability enhances operational efficiency.

Trend 4: Data Sharing Is Essential Data sharing, both internally and externally, creates opportunities for collaboration and value creation. Adopting a data fabric design enables organizations to share and leverage reusable data assets across heterogeneous sources.

Trend 5: D&A Sustainability D&A leaders should not only provide analysis for enterprise ESG projects but also optimize their own processes for sustainability improvement. This includes using renewable energy, energy-efficient hardware, and adopting practices that minimize energy consumption.

Trend 6: Practical Data Fabric Data fabric, a data management design pattern, leverages metadata to analyse and recommend data management solutions. It enables users to consume data confidently and empowers citizen developers with integration and modelling capabilities.

Trend 7: Emergent AI Emergent AI, driven by technologies like ChatGPT and generative AI, will revolutionize scalability, versatility, and adaptability. This next wave of AI will enable its application in new scenarios, making it more pervasive and valuable.

Trend 8: Converged and Composable Ecosystems Converged D&A ecosystems ensure cohesive operation through seamless integrations, governance, and technical interoperability. Composable ecosystems deliver configurable applications and services that enable scalability and flexibility to meet changing business needs.

Trend 9: Consumers Become Creators Predefined dashboards are giving way to conversational and embedded user experiences that address specific content consumers’ needs. Organizations can empower users by providing easy-to-use automated insights and conversational experiences to foster content creation.

Trend 10: Humans Remain the Key Decision Makers While automation plays a vital role in decision-making, human involvement remains crucial. Organizations need to consider the human element in decision support and prioritize data literacy programs that combine data, analytics, and human decision-making.

Gareth Herschel, VP Analyst at Gartner, emphasized the importance of engaging stakeholders and considering human psychology and values in driving D&A adoption. By embracing these trends, organizations can unlock the full potential of their data assets and gain a competitive edge in the evolving landscape.



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