23 Data & Analytics Predictions for 2023

23 Data & Analytics Predictions for 2023

It’s no secret that data is more important than ever. It powers modern business and drives digital transformation. And as we continue into 2023, many organizations are shifting their perceptions of data and committing to finally becoming data-driven. 

Having clean, integrated data is a cornerstone of data-driven enterprises. But too often, organizations fail to deliver. Consequently, business users have difficulty trusting their internal data because it is dirty and incomplete.

The good news, however, is that times are changing. Organizations are realizing that to become genuinely data- and analytics-driven, they must think differently about how they perceive, manage, and invest in data. As a result, we’re seeing new roles and technologies emerge and new trends gain hype. 

We see change underway in four primary areas:

Data Culture

Data-driven organizations do things differently. They mandate that data is the responsibility of everyone in the organization, not just the CDO and data team. They treat data as their most valuable asset. And they always ask, “Is data in the room?” when making business decisions. 

Throughout 2023, data cultures will continue to change. But mindsets must also change, both in focus and perception. We’ll see existing roles converge and expand, new roles emerge, and data leaders’ focus shift. Organizations will recognize that data is their most valuable asset and take meaningful steps to manage it. 

Data Integration

According to a recent Tamr survey of data leaders, improving holistic data quality is the No.1 thing organizations can do to become more data-driven. And to do that, they must invest in the right modern data technologies and forgo the hype associated with others. 

This year, technologies such as AI and machine learning will continue to rise, but so will the recognition that machines alone are not enough. Keeping humans in the loop is critical to ensuring your data is clean, curated, and continuously updated. And ensuring that technology investments solve real business problems remains paramount. 

Data Governance

Data governance isn’t new, but how organizations approach data governance is changing. Many predict that a shift will occur, moving away from source-based governance primarily focused on data cataloging and moving toward consumption-based governance. 

The focus is shifting from how people use data to ensuring they access it appropriately and safely based on their organization's policies and the data owners' consent. 

We’re also entering a new era for data privacy, with our current, conservative environment here to stay. But like data governance, the focus is shifting to data consumption rather than data sources to protect data privacy.

Data Architecture

Data inside most organizations is messy. Data silos proliferate, the data is constantly deteriorating, and integrating data across the organization is difficult, if not impossible. 

New approaches to managing the data chaos are emerging, but organizations must separate the hype from the overhyped. Many emerging data architecture strategies claim to provide the “silver bullet” organizations need to become data-driven. But buyer beware: anything that feels like a panacea is probably wrong.

To learn more about how you can (finally!) become data- and analytics-driven in 2023, read our report.  

About the Author

Anthony Deighton is the Chief Product Officer at Tamr. His experience includes building and scaling enterprise software companies for over 20 years. As chief marketing officer at Celonis, he established the company's leadership position in the process mining software category and created demand generation programs that led to 130% growth in ARR. Deighton spent more than 10 years at Qlik, growing it from an unknown Swedish software company to a public company and market leader. At Qlik, he held multiple roles, including product leader, product marketer, and chief technology officer. Deighton began his career as a product manager at Siebel Systems, learning to build enterprise software companies.

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