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MDM vs. CDP: Which Does Your Organization Need?


Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Often, the reasons include:   1. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3. Inconsistent data quality across the organization Implementing a central […]

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Author: Mahtab Masood and Arjun Vishwanath

Unlocking Business Potential: Leveraging Data Protection for Growth and Privacy


Data is undeniably the modern fuel that keeps organizations up and running in the dynamic business landscape. Admit it: Every organization catering to its customers online is handling heaps of customer data, which is collected for various purposes, including marketing and personalization.  While most customers may offer their consent to use their personal details, most […]

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Author: Rakesh Soni

Now Is the Time for Executives to Deploy Ethical Rules Around AI


For better or worse, AI is causing disruption in almost every field imaginable. Corporations around the world are embracing its possibilities to make work more efficient. The success of ChatGPT and other generative AI tools has also caught the attention of nearly every industry in an effort to meet profitability, efficiency, and sustainability goals. Money […]

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Author: Usman Shuja

Mind the Gap: The Data Chasm


Welcome to the inaugural edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). This month, we start not with a gap but with a chasm – one that’s at the core of a bewildering paradox. We continue to see […]

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Author: Mark Cooper

New Gartner Category Impacts Data Governance Professionals
With the latest SEC developments lighting a fire under the feet of companies and their executives, data governance is increasingly a front-line imperative. The shift is dramatic, with firms now mandated to report material cybersecurity incidents promptly, a move that ties the knot even tighter between cybersecurity and data governance. As highlighted in the “Data […]


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Author: Myles Suer

Human-AI Collaboration: How AI Can Enhance Human Capabilities and Ethical Considerations


Artificial intelligence is here to change the world, and it is up to us to embrace this technology and use it responsibly to reap its full potential. Although critics have expressed some valid concerns about the potential harm that AI technology could bring about, fostering an AI-human collaboration can allow us to use this powerful […]

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Author: Ed Watal

Good Data Quality Is the Secret to Successful GenAI Implementation


You wouldn’t build a house without a concrete foundation. So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy. Incomplete or inconsistent data prompts GenAI models to propose equally unreliable outputs, calling the basic […]

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Author: Stephany Lapierre

Why Selecting the Appropriate Data Governance Operating Model Is Crucial


To embark on data governance in an enterprise that spans divisions and diverse stakeholders, a well-defined operating model plays a vital role in achieving expected business benefits. Data mesh is a new concept that encourages data democratization within an organization in a decentralized way by promoting data products. Unlike the vintage architecture, which is centralized, data mesh […]

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Author: Tejasvi Addagada

Data-Driven Defense: AI as the New Frontier in Business Security


Major business setbacks due to risk management failures happen every year. They are also some of the costliest, adding up to millions of dollars in regulatory fines, lawsuits, payouts, and lost brand value. Leaders want to avoid these types of issues and rely on sound internal data management to mitigate risk and maintain confidence and […]

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Author: Prasad Sabbineni

Ask a Data Ethicist: How Can We Address the Ethics of Reusing Data?


Reusing data is a fundamental part of artificial intelligence and machine learning. Yet, when we collect data for one purpose, and use it for other purposes, we could be crossing both legal and ethical boundaries.  How can we address the ethics of reusing data? Understand Your Data Before we address the issue of reuse, we […]

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Author: Katrina Ingram

The Cool Kids Corner: Equity and Privacy


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. This month, we’re talking about personal identifiable information (PII) and the privacy of that data, but also about ways organizations use personal data […]

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Author: Mark Horseman and Karen Lopez

How to Ensure Data Quality and Consistency in Master Data Management


In the digital age, organizations increasingly rely on data for strategic decision-making, making the management of this data more critical than ever. This reliance has spurred a significant shift across industries, driven by advancements in artificial intelligence (AI) and machine learning (ML), which thrive on comprehensive, high-quality data. This evolution underscores the importance of master […]

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Author: Ravikumar Vallepu

World Backup Day Is So 2023 – How About World Data Resilience Day?


Instead of celebrating World Backup Day 2024 for accomplishing another year of successful backups, I recommend using it to look forward to a year of testing recovery. Instead of starting data protection strategies by planning backups, organizations should flip their mindset and start by planning recovery: What data needs to be recovered first? What systems […]

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Author: Matt Waxman

Debunking Cloud and Cloud Migration Myths


Many companies hesitate to migrate to the cloud for a variety of valid reasons. However, these migration concerns are often based on misconceptions that keep companies from realizing the financial and operational benefits of the cloud.  The following blog post addresses some of the myths around the public cloud, including cost control obstacles, compliance shortfalls, […]

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Author: Arri Rucker

The Rise of Generative AI in Insurance


The global market for artificial intelligence (AI) in insurance is predicted to reach nearly $80 billion by 2032, according to Precedence Research. This growth is being driven by the increased adoption of AI within insurance companies, enhancing their operational efficiency, risk management, and customer engagement. Despite widespread integration of AI in the industry today, its full […]

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Author: Stan Smith

Ask a Data Ethicist: What Data Is OK to Use to Prompt ChatGPT?


Millions of people are using ChatGPT on a regular basis to assist them in both personal and professional capacities. This month’s question centers on the data used to prompt ChatGPT.  Our reader, who shared that they are an ESL speaker, would like to know if it’s ethical to have ChatGPT create summaries of information (specifically, […]

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Author: Katrina Ingram

5 Best Practices for Data Management in the Cloud
Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals. They focus on data security, compliance, and scalability while leveraging cloud technologies to enhance data accessibility, analysis, […]


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Author: Gilad David Maayan

The Cool Kids Corner: Neurodiversity in Your Team


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 the importance of communication.) This month, we’re talking about neurodiversity in your data team. The term neurodiversity was first […]

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Author: Mark Horseman

Protecting Your Data: 5 IAM Trends to Watch


In our increasingly digital world, organizations recognize the importance of securing their data. As cloud-based technologies proliferate, the need for a robust identity and access management (IAM) strategy is more critical than ever. IAM serves as the gatekeeper to an organization’s sensitive information, ensuring that only authorized individuals have an appropriate level of access. With […]

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Author: Jackson Shaw

How DSPM Fits into Your Cloud Security Stack


DSPM solutions provide unique security capabilities and are specifically tailored to addressing sensitive data in the cloud, but also to supporting a holistic cloud security stack. As the variety and sophistication of attacks increase over time, new challenges arise that the existing security stack can hardly keep up with. A new, more aligned, and holistic […]

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Author: Gad Rosenthal

AI Could Save Your Data Governance Program, but It’s Unlikely
In the 1980s, there was a flurry of movies about robots coming to imprison or terrorize humanity. Forty years later, almost every business and technology publication seems to have reimagined the army of robots and artificial intelligence as trading their quest for world domination for the exciting world of business processing. It’s unlikely that most […]


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Author: Carmen Robinson

Hybrid Architectures in Data Vault 2.0


Are you drowning in data? Feeling shackled by rigid data warehouses that can’t keep pace with your ever-evolving business needs? You’re not alone. Traditional data storage strategies are crumbling under the weight of diverse data sources, leaving you with limited analytics and frustrated decisions. But what if there was a better way? A way to […]

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Author: Irfan Gowani

The Modern Data Stack: Why It Should Matter to Data Practitioners
In the rapidly evolving data landscape, data practitioners face a plethora of concepts and architectures. Data mesh argues for a decentralized approach to data and for data to be delivered as curated, reusable data products under the ownership of business domains. Meanwhile, according to the authors of “Rewired,” data fabric offers “the promise of greatly […]


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Author: Myles Suer

Building Trust in the Digital Age: The Role of Data Verification


Data has famously been referred to as the “new oil,” powering the fifth industrial revolution. As our reliance on data-intensive sectors like finance, healthcare, and the Internet of Things (IoT) grows, the question of trust becomes paramount. Trust is a multifaceted issue when dealing with data and events, and one core component is data verification.  […]

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Author: Blane Sims

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