Dark data often resides in the hidden recesses of a metaphorical jungle: It comprises unstructured and unused data accumulated over years of digital transactions, interactions, and operations. Dark data is information that has been collected but not actively used or analyzed, leaving its potential benefits to remain speculative. Unlike structured data, which fits neatly into databases […]
May 22 DAS Webinar: Master Data Management – Aligning Data, Process, and Governance
DATE: May 22, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar Master data management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a […]
The Impact of Advanced Data Lineage on Governance
In today’s data-driven business landscape, data quality – the availability of usable and business-ready information – remains a significant and worsening challenge for many organizations. To mitigate these effects, businesses need swift resolution of data issues with transparent and trustworthy information. However, in our fast-paced digital environment, complex data architectures with more system variables make it difficult to understand the problems. […]
Innovating with Data Mesh and Data Governance
Large organizations want to create a flexible environment to innovate and respond quickly based on new data insights. But at the same time, these businesses want some structure for good Data Quality, data fit for consumption, simplifying and speeding up data access. Using a data mesh, which is a decentralized data architecture (collecting, integrating, and analyzing […]
What Is a Data Marketplace and Why Does It Matter?
The most successful organizations strive for excellence in their products, their processes, and especially in their workers. Excelling in a profession goes beyond simply meeting short-term and long-term goals to devising and applying creative, innovative solutions. To achieve this level of excellence, companies must provide their workers with the tools that let them convert their […]
Data Product vs. Data as a Product (DaaP): Understanding the Difference
Data quality (DQ), which ensures that data is fit for business and consumer needs, remains a significant challenge and is growing more complex. According to a dbt Labs 2024 report, 57% of survey respondents identified data quality as a challenging aspect to data preparation, up from 41% in 2022. To address these data quality challenges, companies increasingly […]
Women in Data: Meet Enterprise Data Architecture Manager Shannon Hughes
The latest installment in our Q&A series with women leaders in data features Shannon Hughes, enterprise data architecture manager at ExxonMobil’s Central Data Office. (Read our previous Q&A here.) Shannon Hughes became fascinated with data and technology as a kid, inspired by her dad – a technical data analyst for the U.S. Air Force. She now […]
Six Common Digital Transformation Challenges
During digital transformation, one of the most formidable challenges organizations face is resistance to change and the complexities of effective change management. Human nature often gravitates toward familiarity and routine, making any deviation a source of discomfort. This psychological inertia can stem from various factors including fear of job loss, perceived inadequacy in new skill […]
Women in Data: Meet Traceable Founding Engineer Prerana Singhal
The latest installment in our Q&A series with women leaders in data features Prerana Singhal, founding engineer at Traceable. (Read our previous Q&A here.) Prerana Singhal loves a good puzzle, so it’s no surprise that she began her career as a coder, with an interest in deep learning and natural language processing. A founding engineer at Traceable, […]
Foundations of Forensic Data Analysis
Forensic data analysis involves collecting, modeling, and transforming data to identify and highlight potential risk areas, detect non-standard or fraudulent activities that use data, and set up internal controls and processes to minimize a variety of risks. Data forensics can also be used in instances involving the tracking of phone calls, texts, or emails traveling […]