In today’s data-driven world, where every byte of information holds untapped potential, effective Data Management has become a central component of successful businesses. The ability to collect and analyze data to gain valuable insights is the basis of informed decision-making, innovation, and competitive advantage. According to recent research by Accenture, only 25% of organizations are […]
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 […]
Data Masking Best Practices and Benefits
In today’s digital world, data rules. Yet information must remain confidential to have any value in a business context. Customer data, financial records, and intellectual property are susceptible to cyber threats. As a result, reinforcing security is a must for organizations that want to keep their reputation. This is where data masking comes in. What Is […]
Why Is Data Quality Still So Hard to Achieve?
We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights. In fact, it’s been more than three decades of innovation in this market, resulting in the development of thousands of data tools and a global data preparation tools market size that’s set […]
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 […]
The Data Puppets Preview
The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management, such as master data, the difference between master data and MDM, “truth” versus “meaning” in data, Data Quality, and so much more. Today’s data rant is a preview trailer of the upcoming […]
From Clutter to Clarity: How Data Drives Sustainability
Deloitte’s 2023 global survey found that the threats posed by climate change are a top issue for the C-suite. Despite this, most organizations are lagging in their efforts to address the challenge, with KPMG finding that 75% of companies are not ready to have their environmental, social, and governance (ESG) data audited. And with new data regulations coming into […]
Using AI to Improve Metadata and Business Outcomes
When training AI models, the accuracy of the AI app depends on the quality of the training material it receives. Naturally, feeding it more than it needs or not enough will be either costly or result in a poor model, respectively. When using AI, you want your results quickly and with minimal cost. The best […]
It’s Not All Clean Rooms: Pushing for a Wider Data Collaboration Category
In the rush to enrich customer data and display digital advertisements in a “privacy-sensitive fashion,” the ad industry has adopted data clean room (DCR) technology as the best path forward. There are clear benefits to rapid industry adoption – namely, increasing recognition in the industry of the need to adopt new technology that protects consumer […]
Weed Out Bad Data to Make Better Business Decisions
With data powering just about every modern business, the saying “garbage in, garbage out” is more relevant today than it’s ever been. Any data-based application, whether it’s a simple analytics engine or an advanced AI model, is only as effective as the data it’s fed. For any organization to become truly data-driven, they must weed […]