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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data.

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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 352
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7 Rewarding Career Paths for the Fearless Agile Program Manager

Social, Agile and Transformation

Agile program managers are facing significant risks amid tech layoffs, with 8.3% As agile methodologies rise, some roles are declining. Career paths for agile program managers include transitioning to technical leadership, product management, data governance, and more. impacted in recent cuts.

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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose. In fact, a data framework is critical first step for AI success. There is, however, another barrier standing in the way of their ambitions: data readiness. AI thrives on clean, contextualised, and accessible data.

Strategy 278
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GEP Procurement & Supply Chain Tech Trends Report

2024 GEP Procurement & Supply Chain Tech Trends Report — explores the biggest technological trends in procurement and supply chain, from generative AI and the advancement of low-code development tools to the data management and analytics applications that unlock agility, cost efficiency, and informed decision-making.

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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO Business Intelligence

In 2025, data management is no longer a backend operation. As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. This article dives into five key data management trends that are set to define 2025.

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Rethinking enterprise architects’ roles for agile transformation

CIO Business Intelligence

In the State of Enterprise Architecture 2023 , only 26% of respondents fully agreed that their enterprise architecture practice delivered strategic benefits, including improved agility, innovation opportunities, improved customer experiences, and faster time to market.

Agile 363
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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.

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Data-Driven Performance Feedback Helps Teams Improve Customer Outcomes

Speaker: Mickey Mantle, Founder and CEO at Wanderful Interactive Storybooks | Ron Lichty, Consultant: Interim VP Engineering, Author, Ron Lichty Consulting, Inc.

In order to be successful at delivering software, organizations need to become data-driven. Teams and their leadership need to leverage data to achieve better customer outcomes. Data-driven performance reviews help to align employee goals and team goals with company goals. How data-driven performance reviews do that.

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Resilient Machine Learning with MLOps

As a result, many organizations are seeking new ways to overcome challenges — to be agile and rapidly respond to constant change. Today’s economy is under pressure from inflation, rising interest rates, and disruptions in the global supply chain. We do not know what the future holds.