One version of the truth is the holy grail of data and analytics. However, the promise of one version of the truth still evades us because even with consistent data, the truth is, as the film My Cousin Vinny demonstrates, a matter of perspective and context. Published at: https://www.eckerson.com/articles/one-version-of-the-truth-according-to-my-cousin-vinny ..read more

Data leaders know the importance of change management, but few understand the dynamics involved in driving adoption. A new book by Damon Centola shows how social networks spread and inhibit change. Published at: https://www.eckerson.com/articles/how-change-happens-driving-technology-adoption ..read more

Over the past 20 years or more, data architecture practices have focused almost exclusively on managing data for analytics. Operational data is much more than source data for analytics. We must give attention to operational data architecture or pay the price in data disparity, data friction, and technical debt. Published at: https://www.eckerson.com/articles/operational-data-architecture ..read more

Designed and implemented well, automated workflows can make the modern business just a little less chaotic and complex. This blog explores the opportunity for automated workflows to help cross-functional teams collaborate and standardize organizational master data. Published at: https://www.eckerson.com/articles/master-data-management-and-operational-workflows-two-modern-use-cases ..read more

Data fabric is one of those buzzwords that’s used so much and in so many ways that it often elicits an eyeroll—undeservedly so. The phrase is shorthand for a complex and important set of issues that we’re all working to manage. In this article we’ll review what data fabric is and why it’s important. Published at: https://www.eckerson.com/articles/data-fabric-s-use-of-abstraction-and-metadata ..read more

The data mesh framework doesn’t specify a key component that completes the last mile of the architecture: a data provisioning environment. New technology that underpins modern data marketplaces complement data mesh, providing a frictionless way for data providers and data consumers to exchange data. Published at: https://www.eckerson.com/articles/data-mesh-s-missing-ingredient-a-data-marketplace ..read more

We must treat metadata like a fully-vested member of the enterprise data landscape. A unifying taxonomy is a good place to start making metadata a focus of data management rather than just a tool. This article explores how to start wrangling diverse and distributed metadata. Published at: https://www.eckerson.com/articles/wrangling-metadata-making-it-the-object-of-data-management ..read more

This blog defines governed data integration and describes how it enabled two manufacturers to synchronize data flows from the factory floor to the customer. Published at: https://www.eckerson.com/articles/governed-data-integration-for-manufacturers ..read more

A rising number of financial services firms are adopting the discipline of governed data integration to build 360-degree customer views. Published at: https://www.eckerson.com/articles/governed-data-integration-for-financial-services ..read more

Synthetic data and artificial intelligence (AI) complement each other but are both subject to the risk of AI bias. Consequently, companies need to implement architectural and governance controls to reduce the bias that synthetic data can inject into AI models. Published at: https://www.eckerson.com/articles/mitigating-the-risk-of-bias-in-synthetic-data-for-ai ..read more