Field Notes: Six Data Trends We're Seeing Everywhere with Tim Gasper & Juan Sequeda
Feb 20, 2025
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Tim Gasper and Juan Sequeda share insights from their travels, highlighting six impactful data trends they've uncovered. They discuss the rise of data marketplaces, focusing on curated data products and user-centric solutions. A fascinating look at the shift-left strategy emphasizes data quality accountability early on. Operational governance is explored, stressing the need for transparency. They also delve into the critical role of metadata in enhancing AI applications, showcasing how it can streamline processes and foster faster development.
Enterprise data marketplaces are emerging as user-friendly platforms that enhance accessibility and usage of data across organizations.
A balanced approach to data quality and cataloging is vital, as organizations navigate between improving frameworks and meeting immediate user needs.
Deep dives
The Emergence of Enterprise Data Marketplaces
Enterprise data marketplaces are gaining traction as organizations seek to bridge the gap between technical and non-technical users of data. Unlike traditional data catalogs that serve technical users, marketplaces present data in a more accessible manner, similar to popular online shopping experiences. A notable example is a UK customer that identified around 160 curated data products, mainly dashboards, tailored to meet business needs. This shift towards curated access helps drive broader adoption across the enterprise while ensuring that the data provided delivers real business value.
Pragmatic Approaches to Defining Data Products
Conversations around data products reveal a trend towards simplicity and practicality in their definition and implementation. Respondents emphasized the importance of meeting end-user needs instead of getting bogged down in complex terminology and strict definitions. For instance, data products can take various forms, including dashboards, datasets, or APIs, focusing simply on delivering tangible value to users. This pragmatic mindset encourages organizations to start with straightforward solutions that address immediate user requirements without overwhelming technical specifications.
Balancing Data Quality and Cataloging Efforts
Data quality continues to be a key concern for organizations as they contemplate the optimal approach to improving their data frameworks. A common discussion point among stakeholders is whether to prioritize data quality initiatives or data cataloging processes, with the consensus leaning towards a balanced approach. Some organizations opt to implement basic checks using existing tools while others invest in dedicated data quality software, demonstrating the need for flexibility based on specific organizational contexts. Ultimately, ensuring data quality is critical, but how it is pursued should align with immediate operational needs and available resources.
Fresh from their travels meeting data leaders across industries, Tim Gasper and Juan Sequeda share the six most compelling data trends they've encountered in the field. In this special episode, our hosts cut through the hype to reveal what's actually happening on the ground - from how companies are really using AI to surprising shifts in data governance. Join them for an insider's look at what's shaping enterprise data strategies right now, straight from their conversations with practitioners and executives.
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