Traditional companies must balance new and old technologies as part of an ever-modernizing data stack. This blog explores how companies strike the right balance to navigate economic uncertainty, AI disruption, and the need for tool consolidation.
Published at: https://www.eckerson.com/articles/the-modernizing-data-stack-three-ways-to-balance-new-and-old

The Modernizing Data Stack: Three Ways to Balance New and Old - Audio Blog

MDM creates business value in three ways: it streamlines infrastructure, streamlines processes, and reduces risk.
Published at: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-1-build-your-business-case

Driving ROI with Master Data Management, Part 1: Build Your Business Case - Audio Blog

Dan O'Brien and Kevin Petrie discuss FinOps, which is a cost governance discipline for cloud-based analytics and operational projects.

Analyst Series: Governing Costs with FinOps for Cloud Analytics

This blog recommends guiding principles for successful implementation of language models to assist data engineering.
Published at: https://www.eckerson.com/articles/should-ai-bots-build-your-data-pipelines-part-iv-guiding-principles-for-success-with-language-models-and-data-engineering

Should AI Bots Build Your Data Pipelines? Part IV - Audio Blog

This final blog in our series on the ROI of master data management recommends ways for data teams to iterate their MDM initiatives based on the successes and failures of their first project.
Published: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-iii-project-iteration

Driving ROI With Master Data Management, Part III: Project Iteration - Audio Blog

"Meet the business where it is." If you're on the data team, that's what you're expected to do to empower stakeholders with data. But how far should you go to meet the business? And shouldn’t the business be expected to move a little toward meeting the data where it is?
Published at:
https://www.eckerson.com/articles/meeting-the-data-where-it-is-time-for-the-business-to-step-up

Meeting the Data Where It Is: Time for the Business to Step Up - Audio Blog

Most data leaders want to deliver data products, but few are doing it. 

Let's face it: most data teams today function as internal service bureaus that fulfill customer requests that arrive via ticketing systems, email, handwritten notes, or calls from colleagues looking for a favor. Most work double time to keep their request backlogs from ballooning from weeks to months. In this environment, few data leaders have time or capacity to switch from a project management approach to a product management one.

Even if data leaders had time, most wouldn't know how to make this transition. Most have no experience in product management, nor do they have a good idea of a data product. So asking data leaders to deliver data products is like asking them to build a rocket ship that can travel to the moon.

In this episode, Wayne Eckerson interviews Henrik Strandberg, a strong proponent of running data teams using product management principles. Henrik Strandberg is a seasoned data transformation leader who, for the past 25 years, has helped numerous organizations bridge gaps between business and technology. In stints at publishing and gaming companies, Henrik has developed a unique understanding of building and delivering data products at scale that delight customers.

Achieving Success with Data Products: An Interview with Henrik Strandberg

This blog describes the need for data teams to establish a flexible yet well-governed data architecture to support dynamic AI/ML projects.
Published at:
https://www.eckerson.com/articles/multi-style-data-integration-for-ai-ml-three-use-cases

Multi-Style Data Integration for AI/ML: Three Use Cases - Audio Blog

Data teams must filter, blend, and refine raw data inputs to create the high-octane fuel that drives innovation with artificial intelligence and machine learning (AI/ML).
Published at:
https://www.eckerson.com/articles/refining-the-right-fuel-how-data-integration-drives-the-ai-ml-model-lifecycle

Refining the Right Fuel: How Data Integration Drives the AI/ML Model Lifecycle

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

New tracks tagged #DataTeams