10 Data and Analytics Trends to Keep on Your Radar

Our annual list of top data and analytics (D&A) trends intends to help you anticipate change and transform uncertainty into opportunity. Factor them into key investments that drive new growth, efficiency, resilience and innovation.

This year’s trends fit into three broad themes:

• Think like a business.

• Move from platforms to ecosystems.

• 不要忘记你的人。

“These trends must be fundamental to the way organizations approach theirD&A strategyand that team’s relationship with other cross-enterprise stakeholders,” says Gartner VP Analyst Gareth Herschel. “The mission of data and analytics teams is to go from managing data resources and creating analytic insight, to delivering value. This need to deliver provable value at scale is driving a variety of trends.”

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These trends deliver provable value to organizations at scale and focus on the “why,” rather than just the how and what of data and analytics. A few of the trends fall into more than one theme, so we’ve included them multiple times below.

These trends allow the D&A function to focus on adopting a proactive approach to delivering value while also accepting the responsibility for the implications of its activities.

• Value optimizationdrives focus on business impact.

• Managing yourAIriskexplores the risks and rewards of adopting new technologies.

• Data sharing is essentialto enabling access to the right data at the right time to derive the right insight.

• D&A2018beplay 承认了能源消耗,温室gas emissions and climate change impacts of D&A and AI, while also assessing its impact on making many activities more sustainable, and helping businesses and wider society meet ESG goals.

• Observabilitydrives focus on understanding the expenses of analytic activity.

These trends have emerged primarily to establish a moreagileand complete way of integrating data and analytics into the greater organization.

• Data sharing is essentialto understanding the organizational ecosystem.

• D&A sustainabilityconnects an organization’s behavior to its impact on the broader ecosystem.

• Observabilitytraces the flow of data and insight throughout that ecosystem.

• Practical data fabricenables the construction of the ecosystem.

• EmergentAIwill transform the ecosystem, especially by integrating humans in new ways.

• Converged and composable ecosystemsare the new technological bedrock for systems delivery.

These trends are a necessary rallying cry for organizations that have become too data-centric — and in turn lost touch with theiremployee engagementand their broader responsibilities.

• Managing your AI riskis the recognition thatAIdelivers unpredictable impacts that require careful governance.

• D&A sustainabilityexplores the impact of data and analytics on the environment and our quality of life.

• Emergent AI将滑坡ip between humans and organizational systems.

• Consumers become creatorsreflects business users going from passive consumers of insights to actively engaged insight creators.

• Humans remain the decision makersacknowledges that humans lead the decision-making system.

Gareth Herschelis a VP Analyst with Gartner. He primarily researches the alignment of data and analytics with organizational culture and decision making.