As organizations strive to become more data-driven, they increasingly recognize the importance of Data Governance (DG), a business program supporting harmonized data activities. However, business leaders, colleagues, and workers often express confusion about DG policies and need clarity around its value. This article tackles this issue by exploring the top 10 ways for effectively articulating the value […]
The Swashbuckling Guide to Building an Analytics Center of Excellence
Ahoy, data adventurers! Embarking on the thrilling journey of building a successful Analytics Center of Excellence (CoE) is akin to navigating the vast seas of data-driven decision-making. As a seasoned captain who’s steered the ship through the turbulent waters of financial services, retail, CPG, and telecom industries, I’ve charted a course that’s proven its mettle […]
Data-First Architectures Unlock the Power of Data
Companies are currently in the midst of a significant paradigm shift, where they are faced with the decision to either over-complicate their data architecture or opt for a single cloud solution. It’s imperative to assess which cloud option aligns best with the needs of an organization; however, neither option allows organizations to optimize their data. […]
How GenAI Bridges the Data Gap Between CMOs and CFOs
Marketing budgets are never entirely safe. While it may seem like pressure is easing as global economic estimates turn slightly sunnier, consumer demand is still getting more expensive to capture and close – which means scrutiny from finance chiefs is as tough as ever. To keep investment flowing, CMOs need to get better at not only boosting […]
What Is Data Completeness and Why Is It Important?
Data completeness is an important aspect of Data Quality. Data Quality is a reference to how accurate and reliable the data is overall. Data completeness specifically focuses on missing data or how complete the data is, rather than concerns of inaccurate or duplicated data. A lack of data completeness is normally the result of information […]
5 Key Strategies for Making Data Visualization Accessible
“If I can’t picture it, I can’t understand it.” —Albert Einstein Research has found that 65% of the general population are visual learners, meaning they need to see information as images to understand it. The business world confirms this: Visualization is essential in driving success. Take, for instance, data visualization, or, the art of translating data into […]
Unveiling the Power of Dark Data in Strategic Decision-Making
If you’ve never heard of dark data, you’re not alone. Setting aside the ominous name, dark data isn’t something that is inherently bad – although, in practice, it usually does end up this way. Dark data is usually unstructured data, though it can also be semi-structured or structured data that a business collects and stores but […]
Data’s Chess Game: Strategic Moves in Data Modeling for Competitive Advantage
Having been an avid chess player for years, I find that my perspective on everything I do in life often mirrors the strategic thinking inherent in the game. Therefore, it was just a matter of time before this chess-inspired outlook permeated my professional life as a data practitioner. In both chess and data modeling, the […]
Developing a Data Literacy Program for Your Organization
Data is the driving force behind decision-making, strategy formulation, and overall business success. However, with the exponential growth of data, organizations are facing a significant challenge: data overload. Without proper understanding and interpretation of data, organizations risk…
Organizations Are Underutilizing Their Data – Here’s Why (and How to Fix It)
The mainstreaming of predictive analytics and generative AI has brought Data Management into focus. Artificial Intelligence both runs on and produces a vast amount of data that must be effectively managed, governed, and analyzed. However, a recent survey of 1,000 North American executives revealed that organizations aren’t quite up for the challenge.
Many companies are not prepared to implement AI or other technologies into their existing IT infrastructure and workforce in a timely manner…