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Risk Management Analytics Software

Leveraging Ventiv's risk management analytics software, harness the hidden insights in your risk data to predict outcomes and drive transformation

Chat with an Expert

Why should Risk Managers use AI-Powered Analytics? This short video covers 7 reasons just focused on claims. Watch the video ►

Who is using Ventiv

  • Seal County of Los Angeles
  • Indiana Public Employers Plan
  • Tribal First
  • Cox Enterprises
  • The Mosaic Company
  • Nestlé
  • Seal-State-of-Georgia-sm
  • Takeda
  • Saint-Gobain
  • Henkel
  • Stagecoach
  • Travelopia
  • Textron
  • Uniting Church in Australia
  • Logo-Imperial-Brands-sm
  • Decathalon
  • Schlumberger
  • HPIC
  • K&S Freighters
  • Marriott

What they are saying about Ventiv

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Meaningful analytics is at the center of what we do, and the analytics platform Ventiv offers has been a natural fit for us. Ventiv excels at data management and flexibility, which are also top priorities.

Chris Knight, EPIC Insurance Brokers & Consultants

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Find clear answers to complex business questions

Discover and share insights from your data efficiently.

Get answers to questions you didn’t think to ask

Eliminate bias and identify trends with a simple search or click.

Drive smarter and faster decisions

Make your insights easier to understand - and act upon.

Ask questions of your data

Now anyone can analyze data by using conversational language. 

See and understand your data

Clear visualizations turn the most complex findings into simple snapshots. With AI, anyone can detect hidden insights.

Jump in and perform queries directly without the need to engage a professional data scientist. Build dashboards and uncover answers in seconds.

Ventiv Analytics Dashboard

Let your data tell the story

Remove your personal bias from the equation with fact-based outcomes from queries. Identify objective trends with advanced analytics powered by artificial intelligence. Any unexpected results can highlight new patterns in your risk or claims data and pinpoint areas to focus your attention.

  • Automated predictive analytics: Find correlations that predict actionable insights, such as what factors are likely to influence the cost of a claim. Drill down into data to find relationships that you might otherwise have missed.
  • Prescriptive analytics: Identify how to mitigate risks and potentially prevent claims, injuries, or incidents from occurring.

How you can use AI-Powered Analytics:

Analytics

Display your data connections in seconds

Spreadsheets are useful when analyzing a small amount of data. However, when the volume of data increases, spreadsheets are limited in displaying trends and providing answers.

With instant data visualizations, your search results are presented graphically in formats that are easy to interpret. As soon as you enter your request, your findings will automatically be displayed in a suitable format – a heat map, word cloud, pie chart, or scatter diagram, for example. You also have the option to choose your preferred visualization manually.

Visualize patterns with maps in real time.

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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 you can see events and trends in recognizable maps, you can easily understand your results and take action.

 

Explore data conversationally

Just like you would perform a Google search, you can ask questions of your risk data using plain language. Discover relevant information from your data with pattern detection powered by an AI assistant.

Begin by asking a simple question, and the intelligent responses will provide insights that prompt further questions and discoveries.

Ready to learn more?

Enhance Analytics with Third-Party Information

It’s certainly possible to make decisions based only on your internal data. However, internally generated information can leave gaps. Incorporate new, nontraditional, and external sources of data into your analyses, such as weather patterns, location services, industry data, census records, building materials, or COVID-19 data for a holistic view of the business challenges you want to solve.

risk management analytics software, risk management analytics solution, risk management analytics platform

Operational Analytics & Reporting

Administer your reporting and operational analytics within the same platform as advanced analytics.

Pre-Built Parameterized Standard Reports

Scheduled, Ad Hoc, Burst, Email, FTP distribution

Drill Down &

Thru Reporting

Audit & Data Quality Reports

Enterprise Reporting

Compliance Reporting

Loss Triangles & Loss Development Factors

Premium Allocations

Ready to learn more?

Want to talk?

You have questions about our risk management analytics software...we have answers!

Let’s talk about how we can move your business forward.

Download eBook

Driving the Data Dividend: Making Use of Analytics in Risk Management

Download our guide that discusses the challenges and proposes a model for data-driven decision making for enterprise risk management purposes.

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Here are seven reasons why risk managers should implement artificial intelligence at their organizations sooner rather than later.

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Ready to move your business forward?

Let’s Talk

With 500+ global customers and counting, Ventiv is one of the premier leaders in the risk management, insurance claims and advanced analytics space. Helping some of the biggest brands on the planet with products like our industry leading risk management analytics software.

Fill out the form, email us at contact@ventivtech.com or call one of our many worldwide office locations to get the conversation started today on moving your business forward.