When it comes to solving business problems, data scientists understand how crucial it is to formulate the right business question. While it’s easy to get sidetracked by intriguing data trails, the most effective questions are those that align closely with organizational priorities, provide actionable insights, and guide strategic decisions. Here are the key principles for crafting high-impact […]
What Does It Mean to Be Data-Driven?
Businesses succeed or fail based on their ability to make sound decisions. Every aspect of an organization’s operation, from the simplest to the most complex, is the result of a series of decisions, each building on the next, from the chairs in the employee lunch room to the million-dollar marketing campaign that will make or […]
RWDG Webinar: Fostering a Data-Literate Culture with Data Governance
Download the slides here>> We are celebrating the 150th episode of Real-World Data Governance! Every registrant will be entered into a drawing to win a copy of Bob’s book or one of his Learning Plans! About the Webinar Data literacy and data culture are two hot topics often discussed together in the Data Management field. […]
Fundamentals of Descriptive Analytics
In descriptive analytics, data aggregation, and data mining techniques are used to collect and review the historical data of a business to gauge the past performance. The most common example of descriptive analytics is the reports that a user gets from Google Analytics tools. A web server’s summarized performance reports may help the user analyze […]
What Is Data Literacy? Definition, Components, Uses
Data literacy (DL) describes how well an individual or organization understands, works with, analyzes, visualizes, and applies data to reach their goals. The specific context and use case determine what applying data literacy looks like in practice. For example, while reading visualizations on product deliveries provides value, true data literacy involves going further. It involves actively […]
EEDL Webinar: How Literate Is Literate Enough?
Download the slides here>> About the Webinar Experts differ in their opinions about the levels of literacy required by workers – from basic terminology to advanced analytic skills for everyone. Some feel that different jobs require different levels of literacy, others believe that all professionals need a grounding in research methods and data validity. But […]
Demystifying Metadata Management for Tech and Business
Metadata is of critical interest in today’s data-driven business environment, and there is a growing awareness of the need for both business and technical users to embrace it, says Donna Burbank, Managing Director of Global Data Strategy and author of “Data Modeling for the Business” and “Data Modeling Made Simple.” Speaking at a previous Data Architecture Online conference, Burbank talked about practical […]
What Doesn’t Work with Data Governance
Data governance is crucial for businesses aiming to maximize the value of their data, yet several common issues can significantly hinder its effectiveness. Let’s dive straight into these challenges and outline actionable strategies for overcoming them. Silos and Misalignment Data governance often operates in isolation, with dedicated teams having minimal interaction with the end-users of […]
Ask a Data Ethicist: What Is Data Sovereignty?
Recently, my DATAVERSITY colleague Mark Horseman shared that he’d been getting a lot more questions about Indigenous data sovereignty. We both agreed it would make a great topic for this month’s column. What is Indigenous data sovereignty, why does it matter, and how can we learn more about it? To answer these questions, it helps […]
EEDL Webinar: Why Most Data Initiatives Fail (Hint: It’s Not Literacy, Technology, or Talent)
Download the slides here>> About the Webinar Four out of five analytic projects fail in business. It’s not a lack of talent or tools, it is the failure to define the desired outcome. Either business professionals assume that data analysts know what they mean, or data professionals fail to understand the context of a request. […]