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Nov 20 2024

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 — […]

Data Crime: Cartoon Signatures

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from the mistakes and prevent future data crimes. The stories can also be helpful if you must explain the importance of  data management to someone.  The Story The state of Rhode […]

Data Crime: Your Phone Isn’t Here

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from the mistakes and prevent future data crimes. The stories can also be helpful if you must explain the importance of data management to someone. The Story Last year, a […]

Fundamentals of AI Automation

Experts predict the AI market will grow from $184 billion in 2024 to $826 billion by 2030. And considering the wide range of use cases for AI tools, that’s not much of a surprise. However, while solutions like ChatGPT continue growing in popularity among everyday users, the most significant potential of artificial intelligence lies in […]

3 Keys to Citizen Data Scientist Success

The citizen data scientist phenomenon is in full swing and — while the approach has its detractors — the proof is in success, and many organizations are actively succeeding using the citizen data scientist approach. Gartner has predicted that “by 2025, 95% of decisions that currently use data will be at least partially automated.” There are […]

Data Mart vs. Data Lake: Understanding the Difference

In the ever-evolving landscape of data management, two key concepts have emerged as essential components for organizations seeking to harness the power of their data: data marts and data lakes. While both serve as repositories for storing and accessing data, they differ significantly in their structure, purpose, and approach to data management. Understanding the distinctions […]

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 […]

Data Crime: Arizona Is Not Arkansas

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from mistakes and prevent future data crimes. The stories can also be helpful if you have to explain the importance of data management to someone. The Story After a series […]

Data Cleansing Tools for Big Data: Challenges and Solutions

In the realm of big data, ensuring the reliability and accuracy of data is crucial for making well-informed decisions and actionable insights. Data cleansing, the process of detecting and correcting errors and inconsistencies in datasets, is critical to maintaining data quality. However, the scale and complexity of big data present unique challenges for data cleansing […]

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, […]

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 […]

The Role of Dark Data: Uncovering Insights in Unused Information

Dark data remains one of the greatest untapped resources in business. This is due to the vast amounts of usable data that exists within an organization, but is not utilized or analyzed to serve a specific purpose. These untapped sources could include customer information, transaction records, and more. Since dark data represents missed opportunities for […]

Storytelling with Data: Crafting Compelling Narratives

Imagine you’re in a meeting and the analytics team bombards you with numbers. Sales have dropped by X%. Ad spend has increased by Y%. Cost-per-click is now Z. The meeting ends, and you promptly forget everything. What if the analytics team had instead turned those raw numbers into a memorable narrative? That’s the idea behind […]

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 […]

How to Find the Right Tweener for Your Organization

Recently, I attended the CDIO Conference in Boston where I had the pleasure of hearing the two Toms (Tom Redman and Tom Davenport) — gurus of data — introduce the concept of tweeners to the data management world. As I listened to their explanation of a tweener (someone who sits with one foot in data […]

Five “Whys” of Data Cleansing

Data scientists claim that they spend 80% of their time cleansing data and the other 20% of their time complaining about cleansing data. There is clearly something wrong with this picture, but sadly, my own experience can confirm that this seems to be true in practice. In this blog, my goal is to explore why […]

A Holistic Approach to Govern Data

The concept of being holistic embraces a comprehensive and interconnected view of various aspects of life, considering them as a whole rather than isolated parts. The concept of being holistic emphasizes the understanding that everything in our existence is connected and interdependent, influencing and being influenced by one another. Holistic approaches look to address the […]

The Stranger Things of Data Governance

Non-Invasive Data Governance (NIDG), like the popular Netflix series Stranger Things, offers a mysterious and complex reality for organizations to navigate. I am often asked how it is possible to navigate these realities and implement NIDG in the real world. NIDG involves unraveling the intricacies of management, quality, security, and compliance. Just as the characters […]

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Category Archives: Data Management Blogs