Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems. From […]
The Cool Kids Corner: Current Considerations in Data Ethics
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 ethics. The technology shift since the global pandemic has given rise to a […]
The Emergence of Corporate Data Governance
Within corporations, the theme of governance has been one of the most important themes for decades. Scholars have discussed and debated how corporations can be governed in order to protect shareholder value and resolve agency issues. Companies have implemented a variety of corporate governance mechanisms to ensure effective decision-making and risk management. These include board […]
7 Data Democratization Trends to Watch
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 […]