Enterprises all around the world are relying on analytics to provide the insights they need to streamline operations and delight their customers. However, making the right data available to the right people at the right time is becoming more and more challenging. While the ability to perform analytics on huge volumes of data is beefing up […]
Redefining Leadership: AI-Driven Innovation
In today’s ever-evolving landscape, leaders face a delicate balancing act when harnessing the power of AI to transform their data into valuable insights. On the one hand, the relentless speed of AI-driven advancement and fierce industry competition demand an agile, iterative approach to unlock AI’s full potential. On the other hand, the tightening grip of […]
Unlocking the Full Potential of Data Collaboration Through PETs
What’s the future of data collaboration? It’s a question that should be on the lips of every C-suite executive in global organizations right now. The unrealized potential of consumer data is immense for businesses wanting to forge deeper connections with their customers and unlock new opportunities, but many are unsure how to proceed when faced […]
Choosing Tools for Data Pipeline Test Automation (Part 1)
Those who want to design universal data pipelines and ETL testing tools face a tough challenge because of the vastness and variety of technologies: Each data pipeline platform embodies a unique philosophy, architectural design, and set of operations. Some platforms are centered around batch processing, while others are centered around real-time streaming. While the nuances […]
Building a Strong Community for Women in Data Management and Governance
In September, I had the privilege of co-hosting a new special interest group (SIG), Women in Data Management and Governance, alongside DATAVERSITY’s Shannon Kempe, at a pre-conference Enterprise Data World (EDW) event. I’m so honored to be part of building this community and to better serve a critical and growing constituency in our industry. Supporting the growth of […]
Managing Missing Data in Analytics
Today, corporate boards and executives understand the importance of data and analytics for improved business performance. However, most of the data in enterprises is of poor quality, hence the majority of the data and analytics fail. To improve the quality of data, more than 80% of the work in data analytics projects is on data […]
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 […]
Transforming Data Management with AI-Driven Data Catalogs
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 […]