Insights
We’re sharing our thoughts on the state of insurtech and how industry trends are impacting businesses. If you’d like to keep up with the discussion, you can sign up to receive our newsletter at the bottom of this page.
Cost Optimization Through Process Automation
Process automation is one of the most transformational cost optimization technologies, especially in data-heavy industries like insurance.
Understanding Data Federation
Data plays a foundational role in most modern businesses. This is especially true in data-heavy industries such as insurance, where having comprehensive, accurate data is the single most important aspect of efficiently examining and processing claims. But because of the nature of modern workflows, important data often comes from a variety of separate sources. That’s why data federation is essential to ensuring that your company can access and use the data needed for everyday operations.
Why Automate?
Business process automation is becoming more common and accessible for many fields and industries, using technology to streamline workflows. There are many strategies to implement process automation and nearly endless potential for its uses. Determining whether automation can help your business comes down to the fundamental question: why automate?
How Much Can Automation Really Change Insurance?
Automation is becoming more common and accessible for many fields and industries, using technology to streamline workflows. But many adopters of automation focus exclusively on automating physical processes like manufacturing while completely overlooking the many applications of automation for everyday business tasks.
What is Data Integration and Why Does it Matter?
Data integration was once time-consuming, and many companies still rely on manually integrated data to keep all records up to date. However, automation is leading the charge for businesses preparing for a more efficient, connected future. In fact, automation for data integration is transforming the way organizations collect and use their data, eliminating both inefficiency and the potential for human error.