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Rethinking (Data) Politics in the Workplace
Most people cringe when they hear the word politics in the workplace. It brings to mind backroom deals, favoritism, turf wars, and decision-making that feels more about power than about progress. In the world of data, politics often gets blamed for blocking change — departments hoarding information, leaders fighting over priorities, and executives struggling to […]


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Author: Robert S. Seiner

AI Governance Reaches an Inflection Point
A new survey of 1,250 data governance executives commissioned by OneTrust offers a detailed snapshot of how organizations are grappling with the realities of AI adoption. The findings are clear: Enterprise use of artificial intelligence has surged, but the governance structures required to manage it have not kept pace. As adoption accelerates, governance is no longer optional […]


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Author: Myles Suer

Building a Data-First Culture
Technology is not what powers a data-first culture, but people, operating models, and disciplined delivery. Most organizations already possess more tools and data than they can effectively utilize. What differentiates the leaders is that they tie analytics to real business results, productize effective data, govern for speed and security, and, most importantly, rewire decisions. While […]


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Author: Chirag Agrawal

The Five Levels Essential to Scaling Your Data Strategy
Scaling your data strategy will inevitably result in winners and losers. Some work out the system to apply in their organization and skillfully tailor it to meet the demands and context of their organization, and some don’t or can’t. It’s something of a game.  But how can you position yourself as a winner? Read on […]


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Author: Jason Foster

External Data Strategy: Governance, Implementation, and Success (Part 2)


In Part 1 of this series, we established the strategic foundation for external data success: defining your organizational direction, determining specific data requirements, and selecting the right data providers. We also introduced the critical concept of external data stewardship — identifying key stakeholders who bridge the gap between business requirements and technical implementation. This second part […]

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Author: Subasini Periyakaruppan

A Leadership Blueprint for Driving Trusted, AI-Ready Data Ecosystems
As AI adoption accelerates across industries, the competitive edge no longer lies in building better models; it lies in governing data more effectively.  Enterprises are realizing that the success of their AI and analytics ambitions hinges not on tools or algorithms, but on the quality, trustworthiness, and accountability of the data that fuels them.  Yet, […]


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Author: Gopi Maren

External Data Strategy: From Vision to Vendor Selection (Part 1)


In today’s data-driven business environment, the ability to leverage external information sources has become a critical differentiator between market leaders and laggards. Organizations that successfully harness external data don’t just gather more information – they transform how they understand their customers, anticipate market shifts, and identify growth opportunities. However, the path from recognizing the need for […]

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Author: Subasini Periyakaruppan

Rethinking Data-Driven Leadership
After reading a piece a while back on why people “don’t trust data, they only trust other people,” I found myself agreeing — but also seeing another side to the story.  In my experience, leaders don’t trust data directly — they trust the story data helps them tell. Sometimes that story reinforces what they already […]


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Author: Christine Haskell

AI and Business Transformation: Balancing Innovation and Control
AI is no longer just a concept or a futuristic tool. It’s here and it’s likely already integrated into many aspects of your business, potentially in ways you might not even realize. AI’s potential to transform how we operate, deliver services, and optimize workflows offers significant benefits, but it also comes with responsibilities — and […]


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Author: Ben Hunter III

Is the Scope of Data Governance Enough?
Data governance has long been the backbone of responsible data management, ensuring that organizations maintain high standards in data quality, security, and compliance. According to Jonathan Reichental in “Data Governance for Dummies,” the scope of governance extends well beyond data ownership and stewardship. It encompasses metadata, data architecture, master and reference data management, storage, integration, […]


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Author: Myles Suer

How IT Leaders Can Fight Back Against Vendor Lock-In


Enterprise IT leaders are experiencing growing frustration with software vendors who wield excessive control over their technology roadmaps. From restrictive licensing agreements to forced upgrades and shifting support models, IT departments often find themselves at the mercy of vendors rather than in control of their own digital strategies. With so-called vendor lock-in on the rise, […]

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Author: Eric Helmer

The State of Data Governance
In 2024, our research at Dresner Advisory Services revealed that only 32% of organizations have a formal data governance organization in place. This statistic highlights a critical gap, especially as machine learning (ML) and artificial intelligence (AI) are increasingly integrated into operations, expanding business reliance on data and analytic content. Despite the growing importance of […]


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Author: Myles Suer

Crossing the Data Divide: A Case for Data Leaders Embracing Process Modeling
In the early days of enterprise data and business systems, process modeling and data modeling went hand-in-hand. It was standard practice to design processes and data structures simultaneously, ensuring a seamless alignment between how work was done and how information was captured, stored, and used.   Tools like flowcharts, data flow diagrams, and entity-relationship diagrams were […]


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Author: John Wills

Data Professional Introspective: Your Organization Can’t Create an EDM Strategy
Some countries successfully create long-term strategic plans. For example, China’s first 100-year plan was aimed at the elimination of extreme poverty by 2020. In 1980, there were 540M people living in extreme poverty; by 2014, there were only 80 million. The second 100-year plan, targeted for 2050, calls for achieving 30% of global GDP, to […]


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Author: Melanie Mecca

Decentralized, Centralized, and Federated Data Governance
In my discussions with CIOs over the last several years, they have repeatedly told me that they strongly dislike traditional data governance. And asked at times, could they just be data custodians. When I asked why, they said they either forced it top-down on their organization, and everyone disliked them for doing it; or, IT […]


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Author: Myles Suer

From Chaos to Clarity: The Stealth Guide to Data Governance Success
In today’s fast-paced business world, data governance often feels like an insurmountable challenge. While teams focus on product development, innovation, and revenue generation, governance can seem like an abstract and expensive luxury. But as data volumes surge and complexity grows, the absence of proper governance creates a widening gap. Organizations are missing critical insights and […]


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Author: Subasini Periyakaruppan

Legal Issues for Data Professionals: In AI, Data Itself Is the Supply Chain
Data is the supply chain for AI. For generative AI, even in fine-tuned, company-specific large language models, the data that is input into training data comes from a host of different sources. If the data from any given source is unreliable, then the training data will be deficient and the LLM output will be untrustworthy. […]


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Author: William A. Tanenbaum and Isaac Greaney

Data Monetization: The Holy Grail or the Road to Ruin?


Unlocking the value of data is a key focus for business leaders, especially the CIO. While in its simplest form, data can lead to better insights and decision-making, companies are pursuing an entirely different and more advanced agenda: the holy grail of data monetization. This concept involves aggregating a variety of both structured and unstructured […]

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Author: Tony Klimas

How to Foster a Cross-Organizational Approach to Data Initiatives


In today’s business landscape, data reigns supreme. It is the cornerstone of effective decision-making, fuels innovation, and drives organizational success. However, despite its immense potential, many organizations struggle to harness the full power of their data due to a fundamental disconnect between IT and business teams. This division not only impedes progress but also undermines […]

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Author: Abhas Ricky

Mind the Gap: Ask for Business Actions, Not Business Value


I’m not sure I know anyone in the data and analytics field whose platform doesn’t face budget scrutiny. Analytics is expensive. And when cost-cutting is the order of the day, analytics is a big target. Up shields. Time for another business value inventory. I’ve spoken with consultants who have completed analytics business value inventories at […]

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Author: Mark Cooper

Chief Officers: Do You Know What Your Data is Costing You?


CXOs this year have witnessed a rollercoaster economy amid plenty of turbulent events – from ongoing inflation affecting consumer spending to large stock market swings, major overseas conflicts, and the uncertainties of an election year. Not surprisingly, the economic forecast remains murky at best. According to a CNBC CFO survey, CFOs seem to agree that […]

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Author: Benjamin Henry

Unleashing the Power of People and Culture: The Ultimate Drivers of Data Governance Success


In the high-stakes world of data governance, where organizations strive to protect and leverage their most valuable asset, one truth stands out: technology alone won’t get you there. The secret sauce? People and culture. They are the lifeblood of any successful data governance strategy, the pulse that drives data literacy, and the force that propels […]

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Author: Gopi Maren

Data Lake Strategy: Its Benefits, Challenges, and Implementation


In today’s hyper-competitive business environment, data is one of the most valuable assets an organization can have. However, the sheer volume, variety, and velocity of data can overwhelm traditional data management solutions. Enter the data lake – a centralized repository designed to store all types of data, whether structured, semi-structured, or unstructured.  Unlike traditional data warehouses, data […]

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Author: Rohail Abrahani

Data Quality: The Hidden Cornerstone of Digital Transformation Success
As organizations rush headlong into digital transformation initiatives, a critical factor often gets overlooked: data quality. In the race to implement cutting-edge technologies and overhaul business processes, many companies fail to recognize that the success of these efforts hinges on the accuracy, completeness, and reliability of their underlying data. This oversight can lead to disastrous […]


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Author: Christine Haskell