Leaders need to trust data within the organization to make sound business decisions. So, many turn to master data management (MDM), a solution to get and keep uniform and accurate data that increases business value. Yet, according to Gartner, 75% of all MDM programs across organizations fail to meet business objectives. Moreover, this trend has worsened since 2015, […]
External Data Strategy: From Vision to Vendor Selection (Part 1)
In today’s data-driven business environment, the ability to leverage external information sources has become a critical differentiator between market leaders and laggards. Organizations that successfully harness external data don’t just gather more information – they transform how they understand their customers, anticipate market shifts, and identify growth opportunities. However, the path from recognizing the need for […]
Improving Data Quality Using AI and ML
In our fast-paced, interconnected digital world, data is truly the heartbeat of how organizations make decisions. However, the rapid explosion of data in terms of volume, speed, and diversity has brought about significant challenges in keeping that data reliable and high-quality. Relying on traditional manual methods for data governance just doesn’t cut it anymore; in […]
My Career in Data Season 3 Episode 8: Christina Sandema-Sombe, CEO Christina Sandema-Sombe DBA LLC and Co-Founder & CDAIO Datum Cafe
Welcome back to an all new season or My Career in Data – a DATAVERSITY Talks podcast where we sit down with professionals to discuss how they have built their careers around data. This episode we speak with Christina Sandema-Sombe, CEO Christina Sandema-Sombe DBA LLC and Co-Founder & CDAIO Datum Cafe, about her aptitude for science in […]
Mind the Gap: AI-Driven Data and Analytics Disruption
We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. Most advances over the past 30 years have been the result of Moore’s Law: faster processing, denser storage, and greater bandwidth. At the core, though, little has changed. The basic […]
Data Integrity: What It Is and Why It Matters
The term “garbage in, garbage out,” or GIGO, dates back to the earliest days of commercial computing in the mid-20th century. Yet the concept was present more than 100 years earlier at the very dawn of computing. When Charles Babbage first described his difference engine, a member of Parliament asked him whether the machine could generate […]
What Is Data Integration?
Data integration combines information from multiple sources into unified, reliable data that drives business operations and decision-making. It consolidates data from databases, applications, spreadsheets, and tribal knowledge into a single cohesive system for effective use. Modern businesses generate vast amounts of data across different systems and departments. Without data integration, this information remains scattered and difficult to use. With it, organizations can […]
Data Governance: Building a Strong Foundation
The first time I was introduced to data governance, someone handed me a thick binder labeled “Data Policies.” It sat on my desk untouched for months. No one referred to it. No one followed it. It was a perfect symbol of what goes wrong when governance is reduced to paperwork without purpose. True data governance […]
A Brief History of Data Stewardship
In the modern digital economy, data is a critical asset that, when properly managed, can drive innovation, insights, and competitive advantage. However, for organizations to leverage data effectively, they must maintain trust in its quality, reliability, and governance/management. Central to this effort is the concept of data stewardship. While it may appear to be a relatively […]
Getting Started with Data Quality
Imagine burning three trillion U.S. dollars. Businesses do this virtually every year because of poor data quality (DQ). In a data-driven age, organizations cannot afford to waste this time and money. Instead, they need to focus on achieving good data quality through a comprehensive program dedicated to business needs. But how does a company implement an effective […]