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Oct 2 2024
Strengthening Data Governance Through Data Security Governance
Data security governance is becoming increasingly critical as organizations manage vast amounts of sensitive information across complex, hybrid IT environments. A robust governance framework ensures that data is protected, accessible, and compliant with regulations like GDPR and HIPAA. By centralizing access controls, automating workflows, and applying consistent security measures, organizations can more effectively and efficiently […]


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Author: Myles Suer

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Sep 18 2024
Combat Governance Dilution: The CGO Solution
The term “governance” has become so widely used that it has lost much of its impact and precision. Originally, governance referred to the frameworks and processes for formalized and effective organizational control and accountability. However, its frequent and broad application across various contexts — ranging from IT to corporate, data, information, and AI governance — […]


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Author: Robert S. Seiner

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Sep 18 2024
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

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Sep 4 2024
Data Literacy: The $100 Million Insurance Policy You’re Probably Ignoring
In boardrooms across the globe, executives are gleefully signing off on multi-million-dollar investments in data infrastructure. Big data! AI! Machine learning! But here’s the inconvenient truth they’re overlooking: Without a data-literate workforce, these shiny new toys are as useful as a Ferrari in a traffic jam.  The Elephant in the Data Center  Let’s cut to […]


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Author: Christine Haskell

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Aug 21 2024
Change Management in Data Projects: Why We Ignored It and Why We Can’t Afford to Anymore
For decades, we’ve heard the same refrain: “Change management is crucial for project success.” Yet leaders have nodded politely and ignored this advice, particularly in data and technology initiatives. The result? According to McKinsey, a staggering 70% of change programs fail to achieve their goals.[1] So why do we keep making the same mistake, and more importantly, […]


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Author: Christine Haskell

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Aug 21 2024
Synergy: Data Security Posture Management and Data Security Governance
Several years ago, while working for a firm developing groundbreaking software, I proposed to my boss that we were, in fact, creating an entirely new market class of software. My boss quickly dismissed this notion, stating that software firms don’t create market categories — analyst firms do. Fast forward to today, and those very analyst […]


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Author: Myles Suer

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Jul 3 2024
Artificial vs. Augmented Intelligence
Terms like artificial intelligence (AI) and augmented intelligence are often used interchangeably. However, they represent fundamentally different approaches to utilizing technology, especially when it comes to data governance. Understanding these differences is crucial for organizations looking to implement non-invasive and effective data governance frameworks. This article explores the distinctions between artificial intelligence and augmented intelligence, […]


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Author: Robert S. Seiner

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Jun 19 2024
The Rising Importance of AI Governance
AI governance has become a critical topic in today’s technological landscape, especially with the rise of AI and GenAI. As CEOs express concerns regarding the potential risks with these technologies, it is important to identify and address the biggest risks. Implementing effective guardrails for AI governance has become a major point of discussion, with a […]


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Author: Myles Suer

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Jun 19 2024
Data Governance Doesn’t Have to Be Scary
The mere mention of “data governance” can send shivers down the spines of executives and employees alike. The thought of implementing stringent rules and procedures for managing data often conjures images of bureaucratic nightmares and stifled innovation. However, it doesn’t have to be this way. Contrary to popular belief, the implementation of an effective and […]


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Author: Robert S. Seiner

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May 15 2024
The Risk and Promise of AI
Artificial intelligence (AI) is rapidly reshaping our world, influencing everything from the way we work to the way we live. It’s like a double-edged sword, offering incredible potential while also posing significant risks. At the heart of this transformation lies data, the fuel that powers AI systems. How we manage this data can determine whether […]


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Author: Robert S. Seiner

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May 1 2024
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

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Apr 17 2024
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

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Apr 12 2024
Women in Data: Meet Christina Sandema-Sombe


The latest installment in our Q&A series with women leaders in data features Dr. Christina Sandema-Sombe, chief data steward of Nike, Inc. (Read our previous Q&A here.)  Dr. Christina Sandema-Sombe first learned the joys – and challenges – of working with data as the global impact measurement lead at a humanitarian aid organization. Over a decade […]

The post Women in Data: Meet Christina Sandema-Sombe appeared first on DATAVERSITY.


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Author: Tami Fertig

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Apr 3 2024
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

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Apr 3 2024
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

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Mar 20 2024
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

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Mar 6 2024
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

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Mar 6 2024
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

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Feb 21 2024
Documenting Critical Data Elements
Many Data Governance or Data Quality programs focus on “critical data elements,” but what are they and what are some key features to document for them? A critical data element is any data element in your organization that has a high impact on your organization’s ability to execute its business strategy. An example is Customer Email […]


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Author: Mark Horseman

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Feb 21 2024
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

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Jan 17 2024
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

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Jan 3 2024
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

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Jan 3 2024
You Don’t Know Data! (The Importance of Sound Definitions)
W. Edwards Deming, the father of statistical quality control, said: “If you can’t describe what you are doing as a process, you don’t know what you’re doing.” When looking at the world of IT and applied to the dichotomy of software and data, Deming’s quote applies to the software part of that pair. The analogous […]


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Author: William Burkett

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Dec 20 2023
Data Protection: Trends and Predictions for 2024
Data protection, as the term implies, refers to the safeguarding of personal data from unauthorized access, disclosure, alteration, or destruction. Data protection revolves around the principles of integrity, availability, and confidentiality. Integrity ensures that data remains accurate and consistent during its lifecycle. Availability guarantees that data is accessible and usable when needed, while confidentiality ensures […]


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Author: Gilad David Maayan

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Dec 6 2023
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

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