Blog

For law enforcement agencies looking to extract crucial insights from their data to accelerate investigations and threat detection, the first steps are to access, cleanse, and transform the data. Once accomplished, entity resolution (ER) emerges as the final stage before conducting analytics using a data fusion or decision intelligence platform. What is Entity Resolution?  Entity…

Accessing abundant data, including metadata, plays a crucial role in accelerating law enforcement investigations and allowing authorities to quickly adapt to emerging situations and threats. However, the value of the insights gained is dependent on the data being properly cleansed, enriched, fused and analyzed. Applying different transformations through ETL (Extract-Transform-Load), ELT (Extract-Load-Transform), and Federated Search…

In 2023, approximately 120 zettabytes* of data are expected to be generated worldwide. A single zettabyte is 10^21 – which is a 1 followed by 21 zeros (a trillion gigabytes). That’s a lot of data, and the volume increases exponentially each year. It’s safe to say, at these sizes, not all data sets can be…

Accurate data is crucial for effective analytics, as it can impact government and enterprise organizations in terms of time, money, reputation, customers, and even safety. Just like a fuel filter removes impurities before reaching a car engine, transformation functions are necessary for analytics to ensure high-quality data for decision-making. The adage ‘Garbage In, Garbage Out’…

Data fusion systems are essential for law enforcement and intelligence agencies who wish to effectively utilize vast amounts of data from diverse sources, leading to improved decision-making, crime prevention, and enhanced national security. These systems empower users to manage how data is accessed, combined, analyzed, and reported by transforming and standardizing data into a unified…