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The first GDPR rulings on spreadsheet breaches are in – are the floodgates opening?

The impact of GDPR is starting to be felt. The UK Home Office appealed a data breach ruling under new legislation with an interesting outcome for businesses working with spreadsheets.

Topics: data management Data Security gdpr

Risk management can’t afford to ignore the “data dividend”; get started with the Ventiv/Aon guide to making use of analytics in risk management

According to an Airmic report from summer 2017, “More than a third of risk managers (35%) say that their use of analytics tools today is limited, but within three years, more than half of risk managers (56%) expect to be using data analytics extensively in their roles.” Ventiv is committed to helping risk managers move from the status quo—limited use of analytics tools—into an analytics-centric future. That’s why we partnered with Aon Risk Solutions to produce a white paper called “Driving the Data Dividend. Making Use of Analytics in Risk Management.” Produced specially for Airmic members, we’re delighted to make this paper available to a wider audience.

Topics: risk management data management analytics

Ventiv shortlisted for CIR Risk Management Awards for API integration project with Nestlé and Zurich

I’m delighted to report that Ventiv Technology has been shortlisted for the ninth annual 2018 CIR Risk Management Awards in the category of Best Use of Technology in Risk Management. We based our award submission on a technology solution we developed for a Ventiv client—Nestlé—in collaboration with Zurich Insurance Group. More specifically, the solution for which we’ve been shortlisted utilises application programming interface (API) technology to integrate Zurich’s My Zurich platform with Nestlé’s instance of Ventiv’s RiskConsole RMIS. 

Topics: RiskConsole data transformation

Breaking down barriers: What’s stopping risk managers from making use of data?

Risk managers cite a number of challenges in making use of data. We partnered with Airmic and Aon to research and address the challenges faced when managing data analytics in risk management.

Topics: risk management data data security and privacy data management Data Security analytics RiskConsole Advance

Making the most of Analytics: 5 key takeaways from Airmic

John Irving, Ventiv’s very own Commercial Director, EMEA, had the opportunity to run an informative workshop on the topic “Unlocking the unknown, the future of risk management analytics”. He shared his expertise in analytics and using AI to support key business decisions, as well as giving a demonstration of Ventiv’s RiskConsole system and Watson analytics.

Topics: predictive analytics RMIS analytics RiskConsole Advance

Regarding analytics and reporting, what should you expect from your claims-administration system?

Are your claims adjusters overwhelmed with current data yet unable to see any trends or analytics for current claims? Does your infrastructure allow for consumption of large amounts of historical data to be used to provide key insights into claim activities, safety initiatives, and risk programs?

Claim adjusters need to handle large caseloads and contend with numerous issues each day. Without the proper tools, seemingly routine claims can cause major headaches for adjusters and impact an organization’s bottom line. Taking a proactive approach through analytics and reporting tools, organizations can better manage resources, claims, and vendors. 

Topics: claims software iVOS Claims Administration

5 things your software vendor should be doing to support your company’s data-governance priorities

Data-privacy laws like the General Data Protection Regulation (GDPR) not only require your business to be compliant; they also require your company to ensure that the suppliers and partners who manage your data are compliant as well.

Technology vendors, like Ventiv, are classed as data processors when they hold or have access to your data. It is this classification that means they are subject to data protection rules, just as organizations that collect data are.

Topics: risk management cyber risk Data Security gdpr

Claims administration system delivery and deployment: Know your hosting options

Today’s software environment leans heavily toward cloud-based, vendor-hosted applications. However, providers that offer only that kind of solution limit both the flexibility and options available to their clients. 

Internet-based applications that can be either vendor- or client-hosted provide the most flexibility and deliver a claims solution that meets the needs of clients. That’s because while some organizations have decided they can generate better returns by focusing on their core competency—claims handling—other organizations still have valid reasons for wanting to keep their system behind their own firewalls. 

Topics: claims software iVOS Claims Administration

RPA versus artificial intelligence and machine learning: not as flashy, but a strong value proposition nonetheless

When I discuss robotic process automation (RPA) with Ventiv’s clients and prospective clients, I’m often asked how RPA differs from machine learning (ML) and artificial intelligence (AI). A November 2017 article from CIO.com offers a good starting point: “RPA can include ML or AI, but it is governed by set business logic and structured inputs, and its rules don't deviate, whereas ML and AI technologies can be trained to make judgments about unstructured inputs.” 

This blog post in 30 seconds:

  • Conventional wisdom holds that for most organizations, robotic process automation (RPA) has value but is only a stopgap on the march toward artificial intelligence (AI) and machine learning (ML).

  • Conventional wisdom overlooks the great expense and upheaval usually associated with deploying AI and ML. RPA is cost-effective and deploys easily.

  • In terms of business need, RPA integrates legacy systems. These systems serve important purposes but often can’t be linked to other, newer systems by modern means of transferring information (like API and web services).

All things being equal, why wouldn’t everyone choose artificial intelligence and machine learning and their ability to learn and make judgments? In reality, all things are rarely equal, and deploying AI and ML is usually a very disruptive, costly process. Moreover, you have to ask what you’re trying to achieve; RPA, I’d argue, strives for more modest, yet imminently more attainable, goals. 

Topics: automation RPA

Accommodating the priorities of today’s claim organizations

Claim organizations face a significant task in today’s environment. The escalating cost of claims continues to be a major concern. From timely incident reporting to claim accuracy, excessive administrative costs, and more, organizations need to adopt strategies to reduce costs and build an efficient and sustainable claim system. 

Topics: claims software iVOS Claims Administration