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.

Nearly half of firms recently surveyed struggle to identify between data truths and manipulations. This indicates an urgent need to upskill and support workers, the report said.

Insurance companies are finally putting a price on the risk of distracted driving, and it’s relatively cheap.

Analytics skills are in short supply, but demands for data-driven results are not. Here are Forrester’s top tips on how chief data officers can drive business strategy.

Retailers are eyeing health insurers as acquisition targets to improve their pharmacy business, but carriers' information assets and analytics prowess are prizes as well.

Incumbents need to think like challengers: They have everything to lose, and not a lot to gain.

The life insurer’s LifeScore Labs division is ready to make its data tool available to other carriers in the space.

Several top colleges and universities are offering courses and concentrations in applying data to the sector.

The adoption of machine learning and the need for access to data beyond just data science team is changing how many firms approach information warehousing.

Companies will invest in building out and owning datasets, learning things about their customers that no one else does, and delivering exactly what those customers want and need.

Managing information in a digital world is as complex as the digital workflows supporting the efforts.