CIOReview | | 19 NOVEMBER 2022I recommend focusing onto effectively embed data and analytics throughout the workflow.1. Always Start With TalentOnboarding a new employee is arguably the most important process for the human resources team. Connecting the Human Resource Information System (HRIS), like Workday, with an IT Service Management (ITSM) system, like ServiceNow that both use the same personnel data can help ensure this activity gets carried out smoothly. For example, when an employee is marked as hired in the Workday system, specific onboarding tickets will automatically get created in the ServiceNow system. From there IT employees will be notified enabling them to move quickly to start getting the new hire's computer, email, phone and other IT needs set up before the new employee's first day.2. Identify and Implement Efficiencies For the insurance industry, expediting the time it takes to settle claims is imperative to a positive customer experience and therefore crucial to the success of the overall business. When it comes to the claims management process, one of the critical initial steps is to gather and process relevant information regarding the underlying policy and coverage and compare it to the claim at hand. By making insurance policy information more readily available to the claims management system, underlying policy and coverages can be verified as soon as a claim is filed, which can significantly accelerate the claims processing time ­ enabling the customer to get their claim payout sooner. 3. Automate Analytics Highly regulated industries have always relied upon mathematical models and data analytics (actuarial science) to predict risks. And companies that successfully integrate business intelligence platforms into their data workflow will see immediate benefits. For insurance carriers, for example, not only can the use of modeling and analytics improve the predictions for underwriting and risk management, but it can also help to identify and reduce fraud, provide a fuller picture of risk to improve decision making, and identify ways to better serve customers enabling the delivery of a superior customer experience. Strategically integrating data throughout your workflow not only provides a 360-degree view of your business but can also enable you to make smarter and more informed business decisions, as well as build operational efficiency. And any time your speed and accuracy improve so does your customer's experience and satisfaction in working with you. With the World Economic Forum predicting that by 2025, "the amount of data generated each day will reach 463 exabytes globally,"now is the time for companies to re-evaluate their data integration and analytics models and make sure they're properly integrated throughout their business. Companies with the strategic infrastructure in place to collect, process, and analyze all the relevant and available data and integrate it effortlessly into their workflows are those that will be best positioned to compete and succeed in today's crowded marketplace. Ruma Bhattacharyya is Vice President of Business System Analysis at Everest. In her role, she manages the lines of communication between clients, businesses, and the technology team to help ensure that projects are completed seamlessly. With over 15 years in the Insurance industry, Ruma has experience in strategic implementation, integrated systems development, and company collaboration. Ruma and her team play a key role in the continued development and delivery of many strategic and transformational policy/claims/billing projects and maintain business relationships. Prior to joining Everest in 2008, Ruma was a consultant at Verizon Wireless and Arch Insurance Group and also served as a Senior Systems Engineer on AT&T at Hewlett-Packard for 7 years. She has her PhD in Chemistry from Kalyani University and currently lives in Hillsborough, New Jersey. Strategically integrating data throughout your workflow not only provides a 360-degree view of your business but can also enable you to make smarter and more informed business decisions, as well as build operational efficiency
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