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Dark Data Explained

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 […]

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 […]

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 […]

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 […]