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The Cool Kids Corner: Data Leadership (and the Importance of TNADVTMADHGI)


Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. Last month we discussed data privacy. This month we’re talking about data leadership. What do we mean by data leadership? What are our challenges […]

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Author: Mark Horseman

Maximizing Business Value with Generative AI


Have we ever seen something get adopted so quickly as generative AI (GenAI) compared to the past? Think about it: ChatGPT launched in 2022 and gained 100 million users in two months. In comparison, we have been hearing about AI for a few years, but the adoption rates of AI have varied from 25% to […]

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Author: Chetan Alsisaria

The Drive Toward the Autonomous Enterprise Is a Key Focus for IT Leaders in 2024


According to Gartner, 80% of executives see automation as a vital thread that supports informed business decisions. And they’re right. In today’s business landscape, automation has transcended a mere “nice-to-have” and become a fundamental driver of organizational success. It’s not just transforming tasks but reshaping businesses from the inside out. Enhanced resilience, richer customer experiences, and a sharper […]

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Author: Avi Bhagtani

Data-Centric: How Big Things Get Done (in IT)
I read “How Big Things Get Done” when it first came out about six months ago.[1] I liked it then. But recently, I read another review of it, and another coin dropped. I’ll let you know what the coin was toward the end of this article, but first I need to give you my own […]


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Author: Dave McComb

The Importance of a Federated Data Stewardship Approach
In the digital era, navigating the choppy waters of data governance poses a significant challenge for enterprises. On one end of the spectrum, a rigid command-and-control approach stifles innovation and agility, turning data management into a bottleneck rather than a boon. On the other, a laissez-faire, free-for-all strategy risks data chaos, compromising security, quality, and […]


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Author: Myles Suer

Facing a Big Data Blank Canvas: How CxOs Can Avoid Getting Lost in Data Modeling Concepts


The volume of data now available to businesses continues to grow exponentially. When looking to extract valuable insights into their business’s performance, C-level executives (CxOs) must navigate the big data blank canvas. This requires a strategic approach, in which CxOs should define business objectives, prioritize data quality, leverage technology, build a data-driven culture, collaborate with […]

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Author: Haroen Vermylen

Reimagining Data Strategy to Unlock AI’s Potential


Data: The currency powering the modern digital economy. In a world generating 3.5 quintillion bytes of data every day, one reality is clear – we’re surrounded by a sea of information. While this abundance of data presents immense opportunities, businesses often struggle to fully capitalize on its potential for informed decision-making and strategic insights.

Consider this. While data is perhaps every company’s most valuable asset for enabling a growth-driving customer experience…

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Author: Raj De Datta

Putting a Number on Bad Data


Do you know the costs of poor data quality? Below, I explore the significance of data observability, how it can mitigate the risks of bad data, and ways to measure its ROI. By understanding the impact of bad data and implementing effective strategies, organizations can maximize the benefits of their data quality initiatives.  Data has become […]

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Author: Salma Bakouk

Unleashing the Power of AI in Life Sciences


The life sciences industry is generating an increasing number of data points a day. While this data is essential to helping organizations make insight-informed decisions about critical operations, such as in clinical trial development, it is also proving to be a complex and daunting task, taking a significant toll on sponsors and clinical sites. In their quest […]

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Author: Tim Riely

Proper Data Management Drives Business Success


Data Management used to be an enhancement to business operations. But as the datasphere continues to grow exponentially, it’s now a critical factor to business success. This is inclusive of data visibility, access controls, classification, compliance, and backups. Successful business leaders will recognize that the ability to manage their company’s data effectively has substantial financial […]

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Author: Sonya Duffin

5 Tactics for Adaptive, Impactful, and Ethical AI


In an era defined by a surge in technological advancements, artificial intelligence (AI) stands out as a transformative force with the potential to reshape industries, enhance human capabilities, and solve complex problems. However, as AI becomes increasingly integrated into our lives, it’s essential to develop strategies that ensure its long-term viability and ethical use. Concerns […]

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Author: Don Delvy

Machine Learning: Challenges and Opportunities for Modern Data Executives


The transformational promise of artificial intelligence (AI) and machine learning (ML) for enterprises has fueled enormous excitement and massive investment by data executives. One estimate predicts that AI’s contribution to the global economy could reach an extraordinary $15.7 trillion by 2030. That’s more than the current combined economic output of China and India. Yet, there seems […]

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Author: Nina Zumel

Why You Should Invest in Digital Transformation During Tough Economic Times


After grappling with an unprecedented global pandemic, the world finds itself navigating more uncertain times with rising inflation, historically high interest rates, and the U.S. wavering on the brink of another recession.  With these uncertain times, CEOs are confronted with difficult decisions – such as where can we cut costs, and how can we reallocate resources to […]

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Author: Antti Nivala

Implementing an Effective Data Strategy
According to the authors of “Data Is Everybody’s Business,” a data strategy “lays out an organization’s goals and plans for managing and exploiting data.” So, where are chief information officers (CIOs) at in facilitating a data strategy with their business counterparts? What things get in the way the most? And, of course, what advice do […]


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Author: Myles Suer

Crossing the Data Divide: Framework for Selling Data Initiatives
Deja Vu All Over Again Something interesting has been happening to me over the last few months that I’ve not experienced in a while. Smart and experienced CIOs and their data leaders have been asking me for input regarding how to sell the value of a data program. The question is a clear sign of […]


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Author: John Wills

The Book Look: Data Strategies for Data Governance
What makes a data book great? Our time is valuable, so a good data book should be concise and practical. It should show us how to do something, step by step, so we can apply the techniques to reinforce and always remember. The experiences of the author should shine through in every chapter. It should […]


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Author: Steve Hoberman

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

Strategies for Tackling Digital Transformation Resistance


The often-overused phrase “digital transformation” instills a sense of excitement and progress for many executives. But for some business leaders, digital transformation means intimidation or mystery. When the former group is tasked with selling data-driven technology initiatives to the latter group, they face formidable challenges. They must win hearts and minds to get buy-in, sometimes faced with […]

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Author: Vrinda Khurjekar

Legal Issues for Data Professionals
The catapulting of data to become a new class of business assets and the rapid evolution of generative and non-generative AI requires the integration of data and law for success in today’s business environment. This new TDAN column covers this integration, and, in particular, addresses the legal issues that data professionals need to know to […]


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Author: William A. Tanenbaum

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

The 5 Stages of Your Data Analytics Journey
Harnessing the power of data has become critical in today’s digital age when information is abundant and decision-making is critical in many aspects of business. Understanding your data may unearth hidden insights and move your business ahead, whether you’re a small startup or an established enterprise. However, going on the road of data analytics may […]


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Author: Ben Hartwig

Data Driven Customer Retention Strategies
Data driven marketing strategies supported by customer insights can significantly boost the customer experience, leading to higher customer retention rates. Each customer, or customer segment, is unique, and it is necessary to understand the behaviors and needs of each segment to truly connect with them on a personal level that keeps them coming back for […]


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Author: Ainsley Lawrence

Strong AI/ML Must Be Founded on a Strong Data Strategy


The list of use cases powered by artificial intelligence (AI) and machine learning (ML) technologies is growing exponentially across nearly every business sector. Enterprises of all kinds are leveraging these advanced capabilities and scaling them through automation to improve business process management, sharpen organizational strategies, and reap more analytical and predictive insights from data for […]

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Author: Adam Glaser