Have you ever thought to yourself, “How did I possibly miss this?” You find yourself working on a process or project at work (or even in your personal life) for an extended period of time and realize one day that there is an error. An error that you’ve overlooked for months, maybe even years! Once the anomaly has been pointed out, it is impossible to forget. But the nagging question remains, “How could I miss that for so long?”.
One of the reasons we love connecting with clients at our annual User Group meeting is to share modifications and enhancements on our software. We are constantly committed to meeting the needs of the reinsurance industry and hope to do so each year with improvements to our reinsurance platform. So what drives our software enhancements?
In my previous post I discussed two reasons why investing in reinsurance quality control processes are necessary. One, being that major decisions in the industry are made based on data and two, reinsurance is heavily dependent on historical data. Charles, my colleague also discussed this by comparing the Rio Olympic Games to the reinsurance industry. We know why it‘s important but what can you do to ensure utmost data accuracy? What do your quality control processes look like, and how can you implement them effectively to improve your business? As a reinsurance consultant, my day to day involves assisting both insurers and reinsurers in improving the quality of their data. For professionals in the industry, here are four essential checks and tests you should consider incorporating into your reinsurance quality control processes.
With the 2016 Rio Olympics well underway, all eyes are on athletes from around the world. While we get to see the performance of their lives, we can sometimes forget about everything that goes into it beforehand. Training is an obvious factor that prepares athletes for the Olympics, but another key factor you may not think of is data. In fact, the Rio Olympic Games are expected to be the most data-driven games so far. Almost every aspect of the games will rely, to some extent on data capture – but what I find particularly interesting is the way it is used to help improve athletic performance and create a better user experience for the audience (you and me). The relationship is similar to the one that reinsurance professionals have with data. Using it helps reinsurance businesses perform better, which ensures that the stakeholders involved (direct writers and the reinsurer) have a positive experience. Just as data integrity is crucial to Olympic athletes, it is absolutely critical to reinsurance business as well.
Can you believe we hosted our 27th annual TAI User Group in May! Every year we strive to make it bigger and better for our attendees. Thanks to your feedback we ensure we are delivering the highest quality of content and insight to help you achieve your business objectives. This year was especially monumental as we launched two brand new products to our suite of software; CONNECTOR and INSIGHTS. Attendees also had the opportunity to hear from one of the world’s leading futurists on global trends Daniel Burrus, who led an intriguing discussion on technological innovation. We are always eager to keep things fresh by introducing new elements to User Group but also maintain the segments you look forward to most. Whether you had the chance to attend this year or not, I’ve pulled together the top highlights from the 2016 TAI User Group below!
From my last blog you know that planning a reinsurance system migration is similar to hosting a dinner party. I walked you through the key stages of planning to ensure you have the resources, budget and stakeholder objectives in place to execute a migration successfully. Now it is time to go through the key ingredients that will make it all come together.
Great food, tasty drinks and even better company – sounds like a perfect dinner party to me! But have you ever hosted one yourself? If yes, you know how much work goes into serving an incredible multi-course meal, (that is perfectly timed) within your budget all the while making sure your guests are having a great time! So what exactly does this have to do with reinsurance system upgrades or migrations? Well you might be surprised to learn that the steps that go into planning and creating a multi course meal for guests are similar to the steps that go into migrating from one system to another. I’ll show you exactly how below.
Have you ever tried booking a flight or vacation that was advertised for a great price, only to find out at check-out that an error occurred with their system and it was showing the wrong price? What about something as simple as going to a restaurant and getting served the wrong meal despite being specific when you ordered? In both instances, at some point in the process, the wrong data was transmitted in the system, creating a disappointing experience for you. Now imagine this data mishap occurring in a reinsurance setting. What would happen if treaties were set up incorrectly and policies weren’t being administered according to treaty parameters? This could lead to incorrect Net Amount At Risk (NAR), product mapping, reinsurance premium rate and allowance percentages. And if you aren’t already thinking it… THERE COULD BE HUGE FINANCIAL IMPACT that compromises your ability to manage risk effectively. That is why data quality and compliance is so critical to all parties involved in reinsurance. So how can you reduce the risk of major financial disasters and ensure data accuracy? By investing in quality control processes. Here is why.
Earlier in May, I had the pleasure of attending TAI’s annual user group meeting. For those who have been long time clients of TAI, you’ll come to appreciate that this is one of the premier reinsurance-centric meetings in North America, and a fantastic meeting to network with peers and discuss trends & challenges encountered in reinsurance administration. As head of Marketing, I always encourage staff to speak at meetings and conferences, it is a great way to develop public speaking skills and also share our success stories and learnings. Brittainy and Lisa from our Reinsurance team delivered a breakout session that can act as a great resource to managers or new hires as they tackle the first weeks of their recently hired reinsurance administrators/analysts.
As a reinsurance pro you know that working with data is an integral part of your role. Many of you are using either a homegrown or professional reinsurance system to process data on a daily basis to maintain and administer reinsured policies. For assumed reinsurance, when a policy gets processed and data is received from the ceding company, the system attempts to perform several actions on it that range from Renewals, Status Changes, Face Changes, Terminations and more. But what happens when the action isn’t successfully carried out and the policy is not processed? The answer: An error occurs. BUT not to panic. Part of being a reinsurance analyst is dealing with error management. Today I’ll share with you three common errors I encounter when processing specifically within the TAI reinsurance system and how to overcome them. Regardless of what system you use, these may also be helpful to you.