The buzz around digital transformation and the shift toward an API-first approach is prevalent in today’s Employee Benefits industry. However, after engaging in over 30 detailed conversations with industry professionals over the last three months, it has become clear that the reality on the ground diverges significantly from the prevailing discourse. Throughout 2023, I observed a notable increase in the number of companies within the Benefits space using our integration platform.

Finance is a complex field, and so are the laws that govern it. With multitudes of regulations surrounding everything from reporting to data security, organizations can quickly become overwhelmed. insightsoftware is here to help.

Kong Mesh 2.7 is here! And with it come a slew of new features to make our simple and powerful enterprise service mesh even easier to use and more powerful for your particular needs. In this blog post, we'll cover the new features and show how Kong Mesh 2.7 can deliver a superior service mesh experience for your organization.

Floods are the most common natural disaster worldwide. A flood is demarcated as an overflow of water that submerges land that is usually dry. Flash flooding befalls when heavy rainfall over a short period hits areas with inadequate drainage. Other causes of flood events comprise high tides, storm surges, river overflow, and snow melt. Each year, floods extinguish assets worth billions of dollars. In the last five years alone, monetary losses caused by floods worldwide were estimated at 299 billion U.S.

Table of Contents April 25, 2024 insightsoftware is a global provider of reporting, analytics, and performance management solutions, empowering organizations to unlock business data and transform the way finance and data teams operate. In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your data analysis?

Data analytics is nothing new. For decades, businesses have been deploying a "stack" of data analytics tools to collect, transform, evaluate and report on data. However, as data has grown larger in volume, and as the ability to analyze data quickly and accurately has become ever-more important to business success, the data analytics stacks that businesses depend on have evolved significantly. So, if you haven't taken a look at data analytics stacks recently, they're worth revisiting.