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Six Data Quality Dimensions to Get Your Data AI-Ready
If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language models correlates with the introduction of ChatGPT back in November 2022. GenAI has brought hope and promise for those who have the creativity and innovation to dream big, and many have formulated impressive and pioneering […]


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Author: Allison Connelly

The End of Agile – Part 4 (Lessons from Agile)
In my first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]


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Author: Larry Burns

The End of Agile – Part 3 (What Is Agile Really?)
In the first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]


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Author: Larry Burns

Data Lifecycle Management: Optimizing Data Storage, Usage, and Disposal
The use of data worldwide for business and recreation has exploded in the last decade, with an estimated 328.77 million terabytes of data created every single day globally. In 2024, experts predict that nearly 120 zettabytes of new data will be created. All of this data creation has also created a substantial storage problem for […]


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Author: Ainsley Lawrence

The End of Agile – Part 2 (Critiques of Agile)
In the first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]


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Author: Larry Burns

Data Governance Gets a New Impetus
Data governance has often been met with furrowed brows among CIOs — sometimes seen as the broccoli of the IT dinner plate: undoubtedly good for you, but not always eagerly consumed. CIOs often bore the brunt from organizations that were forced to do top-down data governance. With this said, defensive data governance has been a […]


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Author: Myles Suer

The End of Agile – Part 1 (A Brief History of Agile)
In recent years, we have seen substantial pushback on many fronts against Agile as a viable and important project management methodology. In my 2016 book, “Growing Business Intelligence”[i] (a book about Agile BI), I quoted from a 2014 article by Dave Thomas, one of the signers of the “Agile Manifesto,” in which he recommended retiring […]


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Author: Larry Burns

Creative Ways to Surf Your Data Using Virtual and Augmented Reality
Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene. We’re going to take a look deep into the recesses of creativity and peek at two […]


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Author: Mark Horseman

Getting the BELT: Empowering Executive Leadership in Data Governance
The expression “Getting the Belt” has several meanings. This phrase most commonly refers to a form of corporal punishment where a belt is used by an authority figure to spank or hit someone as a punitive measure. This form of discipline is now, thankfully, regarded as inappropriate and harmful. Additional meanings signify winning a championship […]


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Author: Robert S. Seiner

Explaining the Why Behind Data Quality Dimensions
Data quality is measured across dimensions, but why? Data quality metrics exist to support the business. The value of a data quality program resides in the ability to take action to improve data to make it more correct and therefore more valuable. The shorter the amount of time between the discovery of the data quality […]


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Author: Allison Connelly

Automating Privacy and Compliance
In the digital age, the deluge of data is relentless. This burgeoning data realm, bolstered by the dawn of generative AI, demands meticulous choreography to remain coherent and valuable. As the complexity of ecosystems multiplies, so does the imperative to tether this wealth of information to the bedrock of privacy and protection. Michelle Dennedy, Jonathan […]


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Author: Myles Suer

The AI Playbook: Providing Important Reminders to Data Professionals
Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations. The book, which comes out on February 6th, and its insights are captured in six statements: — Determine the value— Establish a prediction goal— Establish evaluation metrics— Prepare […]


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Author: Myles Suer

Elevating Data and Analytics for 2024: A GenAI Imperative
As GenAI ascends in priority for CIOs, CDOs, and business leaders, 2023 has placed data and analytics in the spotlight. The hidden challenge is that entities lagging in data industrialization find themselves trailing in business transformation. GenAI and machine learning are touted to address myriad problems. Morgan Vawter, global vice president of data and analytics […]


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Author: Myles Suer

Where Data Governance Should Live
Determining the optimal administrative placement for a data governance program, and specifically a Non-Invasive Data Governance program, is a pivotal decision that can significantly influence its success. This critical choice often boils down to three primary areas within an organization: a specific business area, information technology (IT), or a shared services part of the organization. […]


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Author: Robert S. Seiner

A Halloween Tale That Turns Non-Invasive
Once upon a dark and eerie night, in the heart of the bustling city, there lived a data governance practitioner named Victor. Victor was known for his sharp mind and forward-thinking ideas, but he faced a daunting challenge: convincing his old and set-in-their-ways management that non-invasive data governance was the least scary of alternatives to […]


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Author: Robert S. Seiner

Self-Service Data Access Best Practices
Today’s digital realm increasingly emphasizes the value of self-service data access. Firms are recognizing its potential to empower users and accelerate decision-making processes. However, with this rapid shift towards democratized data access come challenges that organizations need to address. One central conundrum confronts businesses: How can they provide expansive data access while ensuring that information […]


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Author: Ben Herzberg

Who Is Responsible for Data Quality in Data Pipeline Projects?
Where exactly within an organization does the primary responsibility lie for ensuring that a data pipeline project generates data of high quality, and who exactly holds that responsibility? Who is accountable for ensuring that the data is accurate? Is it the data engineers? The data scientists? The team responsible for data governance? The data analysts? […]


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Author: Wayne Yaddow

Fresh Ideas for Data Governance Professionals
As a frequent reviewer of data and strategy books, I am always interested in understanding authors’ perspectives on data governance. Two recent books have ideas that are worthy of data governance professionals: “Rewired” by Eric Lamarre, Kate Smaje, and Rodney W. Zemmel; and “Data Is Everybody’s Business” by Barbara H. Wixom, Cynthia M. Beath, and […]


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Author: Myles Suer

How to Maximize Multi-Cloud Data Governance
The transition from hybrid to multi-cloud environments is more than just a buzzword: It’s a fundamental shift in how organizations manage and utilize their data. As these complex architectures evolve, the importance of robust multi-cloud data governance cannot be overstated. This article aims to provide an in-depth analysis, tips, and best practices for maximizing data […]


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Author: Ben Herzberg

The Role of IT in Data Governance
Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel. IT also enforces data governance policies and procedures, such as data classification and access […]


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Author: Sudeep Srivastava

Data Product Success With Non-Invasive Data Governance
The role of data products has become pivotal, driving organizations towards insightful decision-making and competitive advantage. However, ensuring the achievement of these data products demands the strategic integration of Non-Invasive Data Governance (NIDG). This approach fortifies data quality, security, compliance, and collaboration while expertly navigating user queries and concerns. Central to this cooperation is the […]


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Author: Robert S. Seiner