Spot opportunities  and predict outcomes with AI-Powered Analytics

See and understand your data

Clear visualizations turn the most complex data into easily digestible snapshots. Organize the metrics you frequently access into simple, customizable dashboards. With AI, that’s easy to use and understand; you have business-driving analytical insights at your fingertips.

Instead of figuring out how to access data, explore it, and get questions answered, AI empowers you to jump in and query your data directly to generate actionable insights without the need to engage a professional data scientist. It's now easy for anyone to build dashboards and answer "the next question" in seconds.

With AI, outcomes from queries are fact-based and can identify trends that are not flawed by bias from personal expectations. If the insights found are unexpected, it can highlight new thinking, whether that is a risk or claims trend. Advanced analytics focuses on two key areas:

• Automated predictive analytics – finds correlations that predict actionable insights, such as what factors are likely to influence the cost of a claim (drilling down further into data to find relationships that you might otherwise have missed).
• Prescriptive analytics – can help identify how to mitigate risks—and potentially prevent claims, injuries, etc., from occurring. 

How can you use AI-Powered Analytics:

Build your dashboard in seconds.

Spreadsheets are useful when the amount of data to be analyzed is small; however, when the volume of data increases, spreadsheets can't give a convenient way of viewing trends and obtaining a high-level overview of the data.

Get instant, understandable data visualizations, your search results are presented graphically—instantly and automatically in the most readily intelligible format. Maybe it’s a pie chart, or a spider graph, or a heat map, or a word cloud. You’re free to manually select alternate visualizations, too.

Visualize patterns with maps in real-time.

Geospatial analytics broadens general awareness by providing historical perspective and predictive insight. By adding the context of location and timing to traditional data, you can create maps to highlight trends and patterns that are often hidden in spreadsheets such as proximity, distance, affiliation, and contiguity. When events and trends are seen within the context of recognizable maps, they’re easier to understand—and act upon.

Explore data conversationally

Ask questions of your risk data just like you were making a Google search. Equally important, discover relevant information from your data with pattern detection, ask questions and get intelligent responses with natural language-powered AI assistant.

Exploration and discovery is now an iterative process: begin with one or a few questions. which lead to insights that prompt other questions, which lead to additional insights and further questions, and on and on.