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Identifying and Addressing Data Overload
Increased data generation requires modern businesses to manage vast volumes of information. All this data holds immense potential for insights and informed decision-making, but its value depends on effective utilization. Without the right tools, frameworks, and strategies, even established companies risk being overwhelmed by data overload.  Let’s take a closer look at data overload and […]


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Author: Irfan Gowani

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

The Brave New World of Embedded BI and Analytics
Your business users probably have their favorite legacy systems, best-of-breed solutions, and business apps. When your IT and management team introduce a new software application, it can often be seen as a nuisance or, at best, a tool whose day-to-day workflow value is not offset by the task of learning how to navigate the software.  […]


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Author: Kartik Patel

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

All in the Data: Too Soon for Q Governance?
Quantum computing, with its groundbreaking capabilities, is poised to redefine how organizations solve complex problems and innovate in ways previously unimaginable. As industries begin to explore its potential, a pressing question emerges: Are we ready to govern this new frontier? Much like the evolution of AI necessitated AI governance, quantum computing demands its own variation […]


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Author: Robert S. Seiner

Digital Transformation in Insurance: Overcoming Legacy Challenges
The insurance industry is experiencing a digital revolution. As customer expectations evolve and new technologies emerge, insurers are under increasing pressure to undergo digital transformation. However, legacy systems and outdated processes present significant hurdles for many companies. This article will explore the challenges of digital transformation in insurance, highlighting real-world cases and offering strategies to […]


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Author: Christine Haskell

The Book Look: AI & The Data Revolution
I am just going to start off by saying that I am a Laura Madsen fan. Her writing style combines laugh-out-loud humor with practical experience, making her books both enjoyable and educational. Even some of the book’s subheadings, like “Let’s Not Do Dumb Stuff Faster” and “Kwality Is Job One,” made me laugh out loud.  […]


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Author: Steve Hoberman

Building Robust Cybersecurity Frameworks with Outdated Infrastructure
Infrastructure security is a leading concern for cybersecurity professionals today. Cybercriminals are targeting industrial systems with increasing frequency, and these attacks can have devastating consequences. Further complicating the issue is the fact that many communities rely on outdated technology, leaving them vulnerable to disruption.  Understanding the Security Challenges of Legacy Systems  Although many heavy industries […]


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Author: Ellie Gabel

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

The Data-Centric Revolution: Putting Knowledge Into Our Knowledge Graphs
I recently gave a presentation called “Knowledge Management and Knowledge Graphs” at a KMWorld conference, and a new picture of the relationship between knowledge management and knowledge graphs gradually came into focus. I recognized that the knowledge graph community has gotten quite good at organizing and harmonizing data and information, but there is little knowledge […]


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Author: Dave McComb

The Challenges of Data Migration: Ensuring Smooth Transitions Between Systems
Data migration — the process of transferring data from one system to another — is a critical undertaking for organizations striving to upgrade infrastructure, consolidate systems, or adopt new technologies.   However, data migration challenges can be very complex, especially when doing large-scale data migration projects.   Duplicate or missing data, system compatibility issues, data security problems, […]


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Author: Ainsley Lawrence

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

Cybersecurity Strategies for Insurers: Protecting Data in the Digital Age
We’ve become numb to the headlines. Data breaches happen almost daily, making cybersecurity a top priority for insurers. With its vaults of personal and financial data, the insurance industry is a prime target for cybercriminals. This blog post will explore effective cybersecurity strategies for insurers, highlighting real-world cases and spotlighting new technologies reshaping the cybersecurity […]


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Author: Christine Haskell

Becoming a Citizen Data Scientist Can Improve Career Opportunities
When a business decides to undertake a data democratization initiative, improve data literacy, and create a role for citizen data scientists, the management team often assumes that business users will be eager to participate, and that assumption can cause these initiatives to fail.  Like every other cultural shift within an organization, the management team must […]


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Author: Kartik Patel

Data Governance Defying Gravitas
“Defying Gravity,” the show-stopping anthem from the musical “Wicked,” captures the essence of breaking free from conventions and soaring beyond expectations. Just as Elphaba, the protagonist witch from “Wicked,” refuses to be bound by the weight of societal norms, Non-Invasive Data Governance (NIDG) offers organizations a way to defy the gravitas of traditional governance frameworks. […]


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Author: Robert S. Seiner

Through the Looking Glass: What Does Data Quality Mean for Unstructured Data?
I go to data conferences. Frequently. Almost always right here in NYC. We have lots of data conferences here. Over the years, I’ve seen a trend — more and more emphasis on AI.   I’ve taken to asking a question at these conferences: What does data quality mean for unstructured data? This is my version of […]


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Author: Randall Gordon

Data Governance Best Practices: Lessons from Anthem’s Massive Data Breach
In the insurance industry, data governance best practices are not just buzzwords — they’re critical safeguards against potentially catastrophic breaches. The 2015 Anthem Blue Cross Blue Shield data breach serves as a stark reminder of why robust data governance is crucial.  The Breach: A Wake-Up Call  In January 2015, Anthem, one of the largest health […]


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Author: Christine Haskell

Data Insights Ensure Quality Data and Confident Decisions
Every business (large or small) creates and depends upon data. One hundred years ago, businesses looked to leaders and experts to strategize and to create operational goals. Decisions were based on opinion, guesswork, and a complicated mixture of notes and records reflecting historical results that may or may not be relevant to the future.  Today, […]


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Author: Kartik Patel

Combining IoT and Blockchain Technology to Enhance Security
The Internet of Things (IoT) technology has taken the world by storm. From smart homes and wearables to connected cars and fitness trackers, IoT devices are becoming prevalent across various industries and aspects of daily life. There are approximately 15.14 billion connected IoT devices in 2023, and this number is expected to grow to around […]


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Author: Hazel Raoult

Unleashing the Power of Data: A Guide for CIOs and CDOs
In today’s data-driven landscape, organizations have a wealth of information at their fingertips — but unlocking its full potential is a complex challenge. Many struggle to effectively leverage data for AI, analytics, and decision-making, often hindered by issues like accuracy, availability, and security. For CIOs and CDOs, prioritizing and addressing these obstacles is mandatory. From […]


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Author: Myles Suer

Data Speaks for Itself: Data Validation – Data Accuracy Imposter or Assistant?
In my last article, “The Shift from Syntactic to Semantic Data Curation and What It Means for Data Quality” published in the August 2024 issue of this newsletter, I argued how the adoption of generative AI will change the focus and scope of data quality management (DQM). Because data quality is measured in the degree […]


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Author: Dr. John Talburt

The Art of Lean Governance: A Systems Thinking Approach to Data Governance
A systems thinking approach to process control and optimization demands continual data quality feedback loops. Moving the quality checks upstream to the source system provides the most extensive control coverage. Data quality approaches not utilizing these loops will fail to achieve the desired results, often worsening the problem.  Data Governance is about gaining trust and […]


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Author: Steve Zagoudis

Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality
Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even industry leaders like Charles Schwab and Citibank have been severely impacted by poor data management, revealing the urgent need for more effective data quality processes across the sector.  Key Examples of Data Quality Failures  — […]


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Author: Angsuman Dutta

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