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Apr 3 2024

All in the Data: A Steward in Need Is a Steward in Deed

You’ve probably heard the expression, “A friend in need is a friend indeed.” For this column, I am going to play with that expression to make a point. Instead of a friend, I will refer to friends as data stewards. Instead of indeed (meaning certainly), I am going to insert a space in the word […]

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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The Role of Quantum Computing in Data Science

Quantum computing is on the cusp of turning the data science world upside down, offering a level of processing power we’ve only dreamed of until now. This new frontier has an incredible potential to reshape the way we approach data analysis, predictive modeling, and solving the kind of complex problems that have always been a tough […]

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The Importance of a Federated Data Stewardship Approach

In the digital era, navigating the choppy waters of data governance poses a significant challenge for enterprises. On one end of the spectrum, a rigid command-and-control approach stifles innovation and agility, turning data management into a bottleneck rather than a boon. On the other, a laissez-faire, free-for-all strategy risks data chaos, compromising security, quality, and […]

Effective Code Documentation for Data Science Projects

Code documentation is a detailed explanation of how the code works. It is a comprehensive guide that helps developers understand and use the code effectively. It is like a manual for your source code, providing information on the purpose of the code, how it is structured, and how it can be modified. Many developers might […]

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The Art of Lean Governance: Addressing the Elephant in the Room

Hands down one of the most frequent observations when walking the data factory at different clients is the excessive use of spreadsheets for data collection and purification. These spreadsheets are part of a critical data enrichment process for getting reports out the door on time. However, these same spreadsheets represent a significant control problem exposing […]

Reimagining Data Strategy to Unlock AI’s Potential

Data: The currency powering the modern digital economy. In a world generating 3.5 quintillion bytes of data every day, one reality is clear – we’re surrounded by a sea of information. While this abundance of data presents immense opportunities, businesses often struggle to fully capitalize on its potential for informed decision-making and strategic insights.

Consider this. While data is perhaps every company’s most valuable asset for enabling a growth-driving customer experience…

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How to Become a Data Science Freelancer

Entering the world of freelance as a data professional offers freedom, diversity in projects, and the thrill of entrepreneurship. But how does one transition from a traditional job to a successful freelance career in the data field? Insights from an experienced freelance data consultant shed light on this journey. Table Of Contents 1Key Skills and […]

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Three Myths About Generative AI in the Workplace – and How You Can Bust Them

In the past year or so, generative AI has received more media attention than any other type of technology. Up until this point, data science has been at the center of these innovation stories, and rightfully so: None of the next-generation technology tools can work without a strong data science program. As soon as generative […]

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Unleashing the Power of AI in Life Sciences

The life sciences industry is generating an increasing number of data points a day. While this data is essential to helping organizations make insight-informed decisions about critical operations, such as in clinical trial development, it is also proving to be a complex and daunting task, taking a significant toll on sponsors and clinical sites. In their quest […]

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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 […]

All in the Data: The Search for Intelligent Life in Your Organization

An invisible, yet universal, force exists that is shaping the very fabric of data-driven decision-making, data practices, and operational data management functionality. This force is “informal governance,” an astral influence orchestrating the celestial bodies of an organization. Acknowledging the existence of this informal governance marks the launch of a profound journey — a quest for […]

Data Governance in 2024

As we approach 2024, the landscape of data governance is set to undergo transformative changes. This article delves into the anticipated advancements and shifts in data governance, highlighting the integration of AI, the importance of metadata management, the emphasis on data quality and literacy, evolving operating models, and the integration of data warehousing and lake […]

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Data Management Predictions for 2024: Five Emerging Trends

As we near the end of 2023, it is imperative for Data Management leaders to look in their rear-view mirrors to assess and, if needed, refine their Data Management strategies. One thing is clear; if data-centric organizations want to succeed in 2024, they will need to prepare for an environment in which data is increasingly […]

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Data Governors, First Govern Yourselves

Data Governance, as currently practiced, is failing. There have been some successes, but by and large, even these efforts have fallen short. Worse, many of those tasked with contributing to Data Governance find the effort painful. We have enormous sympathy for data governors. (We use the term “data governors” – DGs – as the most […]

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Author: John Ladley and Thomas Redman

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Oct 23 2023

Why Master Data Management (MDM) and AI Go Hand in Hand

Organizations have long struggled with the “eternal data problem” – that is, how to collect, store, and manage the massive amount of data their businesses generate. This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data. By 2025, the IDC expects worldwide data to reach 175 zettabytes, more […]

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AI Personalization: Challenges and Practical Strategies for Startups

Personalization is an effective way to drive revenue growth, increase customer engagement, and enhance customer satisfaction. According to a survey by Accenture, 91% of consumers are more likely to shop with brands that recognize, remember, and provide relevant offers and recommendations. In recent years, businesses have recognized the value of personalization in improving customer experience by leveraging […]

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Implementing an Effective Data Strategy

According to the authors of “Data Is Everybody’s Business,” a data strategy “lays out an organization’s goals and plans for managing and exploiting data.” So, where are chief information officers (CIOs) at in facilitating a data strategy with their business counterparts? What things get in the way the most? And, of course, what advice do […]

Crossing the Data Divide: Framework for Selling Data Initiatives

Deja Vu All Over Again Something interesting has been happening to me over the last few months that I’ve not experienced in a while. Smart and experienced CIOs and their data leaders have been asking me for input regarding how to sell the value of a data program. The question is a clear sign of […]

The Book Look: Data Strategies for Data Governance

What makes a data book great? Our time is valuable, so a good data book should be concise and practical. It should show us how to do something, step by step, so we can apply the techniques to reinforce and always remember. The experiences of the author should shine through in every chapter. It should […]

Managing a Freelance Data Science Team

In this dynamic era, the freelance economy is experiencing an unprecedented boom, significantly reshaping the work landscape. This shift is leading to the increasing prominence of freelance management, which includes sourcing, coordinating, and retaining independent talent in a strategic manner. This article particularly focuses on how to manage a freelance data science team, a trend […]

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5 Steps to Achieve Proactive Data Observability – Explained Over Beers

In the multifaceted realm of data management, aspiring to master proactive data observability often mirrors the meticulous craftsmanship that goes into brewing the quintessential batch of beer. It is a symphonic endeavor that calls for a harmonious blend of varied elements, a craft demanding skill, finesse, and an adept understanding of the underlying balances at […]

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What Is Metaflow? Quick Tutorial and Overview

As data science continues to evolve, new tools and technologies are being developed to help individuals and organizations streamline their workflows, improve efficiency, and drive better results. One of the most powerful and innovative tools in this space is Metaflow, a Python library that makes it easy to build and manage data science workflows. In […]

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Introducing the Data Analytics Fabric Concept

Organizations all over the world – both profit and nonprofit – are looking at leveraging data analytics for improved business performance. Findings from a McKinsey survey indicate that data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times more profitable [1]. Research by MIT found that digitally mature firms are 26% […]

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Author: Arun Marar and Prashanth Southekal

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Sep 6 2023

Is Your Data Ready for Generative AI?

Generative AI (GenAI) is all the rage in the world today, thanks to the advent of tools like ChatGPT and DALL-E. To their credit, these innovations are extraordinary. They’ve put the power of artificial intelligence and machine learning (AI/ML) into the hands of everyday users. However, these tools have also skewed our perceptions of what […]

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