Dirty data – data that is inaccurate, incomplete, or inconsistent – costs the U.S. $3.1 trillion per year, according to IBM. Along with the staggering cost, it prevents health care stakeholders from realizing the enormous potential value that they could be realizing from downstream analytics, including population health management, value-based care, and digital health. Health plans will […]
Finding the Right Data Governance Model
Data Governance has received much attention in both the academic and practitioner communities over the past 15 years. Compared to the even more recent concept of Data Governance, IT governance has evolved from the initial concept of corporate governance. In the past year, the interest has increased with the evolution of the modern data stack and cloud adoption, […]
Data Clean Rooms: Share Your Corporate Data Fearlessly
Data sharing has become more complex, both in its application and our relationship to it. There is a tension between the need for personalization and the need for privacy. Businesses must share data to be effective and ultimately provide tailored customer experiences. However, legislation and practices regarding data privacy have tightened, and data sharing is tougher and […]
Data Protection: An Essential Element of Any Digital Transformation Strategy
According to an annual cybersecurity report by Cisco, cyber-attacks are more advanced than ever before. Phishing, ransomware, social engineering, and trojans are the most active threats. Globally, the average total cost of a data breach is around $4.35 million, which increased by 2.6% compared to 2021, according to IBM’s most recent Cost of a Data Breach […]
Data Science and Privacy: Defending Sensitive Data in the Age of Analytics
When big data began getting corporate attention in the late 2000s, the idea of data privacy was considered lavish and exotic. The public was less concerned about securing their data assets and was only fascinated by the fact that the interconnected digital world would change their lives forever. As we soon step into 2023, the […]
Dear Laura: Data Governance Budget Woes
Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. In 2019, I wrote the book “Disrupting Data Governance” because I firmly believe […]
Data Classification Can Make or Break Data Governance
The cost of data loss is staggering – and avoidable. The news these days is full of massive fines levied against companies that failed to protect their customer data. An effective data classification approach is one of the best ways to ensure that companies can identify and protect their most valuable data. Our experience continues to […]
How Data Privacy Affects the Midterm Elections
Until fairly recently, I was considered somewhat of a data privacy watchdog by my family and friends. I have all my privacy settings set to the max, I don’t download shady apps, no matter how popular they may be, and I am mistrustful of most requests for my personal data. But my behavior was the […]
Big Data, Big Responsibility
By now, we’ve probably all heard that “every company is a tech company” after the evolution of where and how we work in the previous few years. However, if every company is a tech company, what has become of what we traditionally think of as technology companies? Just as every company has become reliant on technology […]
Data Integrity: The Last Mile Problem of Data Observability
Data quality issues have been a long-standing challenge for data-driven organizations. Even with significant investments, the trustworthiness of data in most organizations is questionable at best. Gartner reports that companies lose an average of $14 million per year due to poor data quality. Data observability has been all the rage in data management circles for […]