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 […]
Why Data as a Product Is Replacing Dashboards in the Modern Enterprise
For years, organizations have invested heavily in dashboards, data warehouses, and centralized reporting platforms. Yet many still struggle to turn their growing volumes of data into real business results. The problem isn’t the data, it’s how we think about it. Business leaders must treat data not merely as an asset to be stored and queried, […]
Best Practices for Automating Complex Unstructured Data Migration
In today’s data-driven business environment, enterprises are increasingly relying on sophisticated data migration strategies to manage and move vast amounts of information, particularly unstructured data. As enterprise IT infrastructure evolves, so too does the complexity of data migration. The scale, speed, and accuracy required to successfully migrate large datasets – often containing billions of files […]
Dark Data: Surprising Places for Business Insights
A recent AI and Information Management report has shown that 64% of organizations manage at least 1 petabyte (PT) of data, and 41% manage at least 500 PTs. In itself, this is perfectly fine – data is the new oil, after all. The problem is, however, that anywhere between 40% and 90% of this data ocean remains dark, which […]
Change Data Capture and the Value of Real-Time Data Integration
Business insights are only as good as the accuracy of the data on which they are built. According to Gartner, data quality is important to organizations “in part because poor data quality costs organizations at least $12.9 million a year on average.” So, we believe that it stands to reason that providing access to the […]
From Parchment to Python: How Smart Data Evolved to What It Is Today
Data used to be a physical thing, stored on paper and in ledgers. Security was also a physical thing, with valuable data protected by actual locks and guards. Today, we navigate a landscape dominated by code, algorithms, and digital streams of data, a far cry from those early days. Yet, despite these transformative changes, the […]
What Is Data Lineage?
Data lineage tracks and documents how data flows through systems and processes within an organization. Data professionals use automated tools and human oversight to track this movement, creating clear guidance and visualizations that support data quality and compliance. Through this mapping process, organizations trace data flows from source to destination across users and systems. The resulting documentation […]
Fundamentals of Data Compliance
Data compliance delivers benefits to organizations far beyond simply avoiding potential fines for not fulfilling regulatory requirements for collecting, handling, securing, and safely disposing of sensitive data…
Data-Ed Webinar: Reference Data vs. Master Data Management
Download the slides here >> About the Webinar Data can accumulate and become unusable or outdated without proper maintenance. Reference and master data management (MDM) is a popular approach to effectively manage not only the data but also the supporting architecture for processing it. This webinar introduces MDM as a strategic method to enhance and […]
Women in Data: Meet Prosasty Chaudhuri
The latest installment in our Q&A series with women leaders in data features Prosasty Chaudhuri, CEO and founder of Cuspide Data. (Read our previous Q&A here.) Prosasty Chaudhuri spent over two decades working in the data management industry before founding Cuspide Data last year. Previously, she served as the chief data officer for several leading financial institutions, spearheading […]