Gartner predicts that 2025 will see strong growth in self-service data access, a trend that brings major challenges for Chief Data Officers (CDOs). It means they need to understand and master increasingly complex data sources, while rationalizing IT costs and demonstrating the value of data initiatives. Learn more and find solutions in our newsletter! 🔥
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Gartner reveals 6 key trends for CDOs to focus on in 2025
In 2025, data and analytics leaders will have to understand and address multiple strategic and tactical challenges by relying on the right processes and technology tools.
🌟 These are the three of the trends identified by Gartner:
Prove value to the organization: CDOs must demonstrate the concrete impact of data initiatives by aligning their projects with business needs. Creating self-service data marketplaces is a key approach to achieving this by providing relevant insights to business teams.
Balance decentralization and control: CDOs need to strike a balance between centralization and enabling business teams to operate autonomously. By identifying best practices, deploying them at scale, and designating data stewards on each team, CDOs can drive adoption while maintaining overall control.
Better manage complexity: the enormous growth in the number of available data sources makes operations much more complex. Gartner research shows that 47% of employees struggle to find the information they need, and 32% make poor decisions due to a lack of awareness of available data. CDOs need to streamline processes and offer intuitive tools, such as data marketplaces that offer an e-commerce-style experience and make data accessible to everyone.
Here’s an at-a-glance overview of data management solutions and the value they provide. In 2025, data marketplaces powered by AI will become a more integrated part of data strategies.
Data warehouses, data lakes, or data lakehouses
Added value: centralize data to simplify its use and make it ready for in-depth analysis using business intelligence tools. Users: IT and data experts.
Data catalogs
Added value: offer clear and complete mapping of data sources, enriched by metadata, for structured and accessible management without sharing the actual data. Users: IT and data experts.
Business Intelligence and Analytics Solutions
Added value: transform data into strategic insights with tools that allow you to create dashboards, reports, and graphs supported by AI. Users: IT and data experts.
Data marketplaces augmented by AI
Added value: enable all employees to consume and reuse data quickly and intuitively thanks to secure, self-service and direct access to data as well as intelligent search based on AI. Users: business users and data experts
The importance of data quality in turning information into value
We explain why data quality is central to building trust and increasing data use, and the processes and tools required to deliver consistent high-quality data.
Opendatasoft’s data marketplace solution plays a key role in ensuring data quality, with in-built processors to check and fix quality issues and drive data governance, strong metadata to describe datasets, and the ability for users to connect directly to data producers with feedback and queries.
Be inspired by our resources to create engaging data portals and transform your operations using data.
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Replay our webinar
Opendatasoft and Snowflake: Collaboration and monetization of data products - the role of the data marketplace
Learn how Opendatasoft and Snowflake are joining forces to unlock new opportunities to improve collaboration, drive innovation, and create additional revenue streams through data.
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