Data mining

Creating and validating an accurate database involves data verification, data cleansing and quality checks.

With its checkered history of risk placement process modernization fading away, the London Market is now pushing towards a bright new data future.

Strong data and resilience are key to scaling the renewable energy sources needed to combat climate change.

Innovations in technology are utilizing data so carriers can predict risks and personalize coverage for customers.

As insurers harness the power of connectivity, using data for informed decision-making will be a priority.

The key to meeting consumer demands for greater personalization while boosting growth in an increasingly competitive industry lies in using the full array of data available.

LexisNexis compared more than two thousand homes with installed IoT devices vs. a million uninstalled.

Data mining can help enterprises identify anomalies, patterns, and correlations within large unstructured data sets to predict business outcomes.

A large majority of businesses will increase their investments in digital technology over the coming year, and many expect IT modernization to fuel future transformation efforts that lead to cost savings and greater profitability.

Companies are putting greater emphasis on data quality to gain full value from their data assets.