In today’s global landscape, organizations worldwide are increasingly turning to data analytics to enhance their business performance. Research conducted by McKinsey Consulting revealed that data-driven companies not only experience above-market growth but also witness EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization) increases of up to 25% [1]. Additionally, Forrester’s findings indicate that organizations utilizing […]
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, […]
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 […]
Ask a Data Ethicist: Can We Trust Unexplainable AI?
In last month’s column, I asked readers to send in their “big questions” when it comes to data and AI. This month’s question more than answered that call! It encompasses the enormous areas of trust in AI tools and explainability. How can we know if an AI tool is delivering an ethical result if we have […]
The Cool Kids Corner: CLEAR Communication
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 the data evangelist with DATAVERSITY. (Read last month’s column here.) This month, we’re talking about communication. Communication is the cornerstone of socializing anything you do with data, whether that’s […]
It’s Not Too Late to Leverage AI, but You Must Get Started Today
AI’s potential enchants experts across all industries. For customer support specialists, generative AI solutions have improved productivity by up to 35%. For software developers, AI can handle mundane tasks like repetitive coding and automated deployment, enabling engineers to focus on essential quality-of-code updates…
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 […]
Three Key Commandments of Effective Dashboards
A dashboard is a visual snapshot of business performance using KPIs (key performance indicators) to help users make smarter, data-driven decisions. An effective dashboard simplifies the visual representation of complex data and helps stakeholders understand, analyze, and present key insights at a glance. At the core, the objective of a dashboard is to make complex […]
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 […]
The Cool Kids Corner: Data Quality Is Not a Fish You Can Catch
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. (Read last month’s column here.) This month we’re talking about Data Quality (DQ). Data Quality, the phrase “garbage in, garbage out,” dirty data, data […]