An analytics center of excellence is the cornerstone of every data strategy, yet few data leaders know how to design one that works effectively. The key is to embrace federated techniques that balance standards and speed, agility and governance. This article explains the core components of an analytics center of excellence. Published at: https://www.eckerson.com/articles/how-to-design-an-analytics-center-of-excellence

Design patterns have proven valuable in many endeavors. Can data pipeline design patterns help to break the data engineering logjam? Published at: https://www.eckerson.com/articles/data-pipeline-design-patterns

The need for adaptable data management architecture has never been more pressing. Yet getting there seems to be more confusing than ever. The field is rampant with buzzwords: data lake, data lakehouse, data fabric, data mesh, data hub, data as a network. Making sense of the confusion begins with sorting out the buzzwords. Published at: https://www.eckerson.com/articles/data-architecture-complex-vs-complicated

Data mesh is an evolutionary concept that’s gained a lot of traction in the software engineering world. It’s both exciting and unnerving—exciting because it represents a sea change in engineering attitudes toward data; unnerving because of its potential to create organizational confusion. Published at: https://www.eckerson.com/articles/the-exciting-unnerving-vision-of-data-mesh

This article, the second in a series, shares cutting-edge examples of location intelligence applications from the real world to help readers understand what’s possible with geospatial data. Published at: https://www.eckerson.com/articles/location-intelligence-part-ii-real-world-examples-from-businesses-that-use-geospatial-data

The data mesh is an attempt by software engineers to remake the data industry in their image. There is a lot of goodness in the data mesh but will it work? The track record for other reform efforts is not good, although new technologies are putting wind into the methodology. Published at: https://www.eckerson.com/articles/data-mesh-translated-software-engineers-try-to-reform-data

Data Stewardship Experience strategies (personal growth, community, societal contribution, and disruptive innovation) can meet several cognitive, social, and psychological needs, and motivate professionals to become productive data stewards. It also removes the stigma of data governance as a rigid and bureaucratic gatekeeping discipline. Published at: https://www.eckerson.com/articles/improving-the-data-stewardship-experience-dsx-productive-motivational-strategies-for-data-governance

Decision AI is an emerging discipline that enables faster, smarter operational decisions by combining decision intelligence and contextual intelligence. Published at: https://www.eckerson.com/articles/decision-ai-and-the-opportunity-for-smarter-faster-actions

This audio blog, the third and final in a series, recommends five guiding principles for success. Published at: https://www.eckerson.com/articles/the-customer-360-data-program-and-cloud-connectors-guiding-principles-for-success

Consider key trends and challenges as you design an effective organizational architecture for data governance while generating value with pervasive analytics. Published at: https://www.eckerson.com/articles/organizational-architecture-can-make-or-break-your-data-governance-program