Customers & Business Blog

Who isn’t familiar with Michelin? Whether it’s their extensive product line of tires for nearly every vehicle imaginable (including space shuttles), or the world-renowned Michelin Guide that has determined the standard of excellence for fine dining for over 100 years, you’ve probably heard of them.

At Treehouse Software, when we speak with customers who are planning to modernize their enterprise mainframe systems, there’s a common theme: they are faced with decades of mission-critical and historical legacy mainframe data in disparate databases,

Capturing tech trends has become a bit tricky these days: whatever industry you’re in, uncertainty abounds. That’s made planning more difficult, but businesses are finding new ways to innovate with emerging technology and respond quickly to fast-changing market conditions.

Today, 92% of the world’s top 100 banks and 72% of the top 25 retailers use mainframes to deliver secure, highly reliable data for their customers. Citigroup even estimates that while banks spend over $200 billion a year on IT, nearly 80% of that money goes towards maintaining mainframe-dependent

Over the last decade, there’s been a massive movement toward digitization. Enterprises are defining their business models, products, and services to innovate, thrive, and compete by being able to quickly discover, understand, and apply their data assets to power real-time use cases.

Businesses are generating more data than ever on a daily basis. As a result, many enterprises are undergoing a digital transformation that centers on their ability to contextualize and harness the value of their data in real time.

These days, data is at the core of nearly every business decision. But even as the sheer amount of data and formats has skyrocketed, data sources have become more fragmented and distributed than ever.

"What is our role with Confluent Cloud?” is a valid question frequently asked by service and delivery partners who have traditionally made money from services related to the installation and upkeep of on-prem applications.

First, what is a data mesh? “Data mesh” is a hot topic these days when IT infrastructure comes up. Data mesh, in our view, is a concept that involves people, […]

Financial institutions generate a constant stream of data: customers opening and closing accounts and making purchases, withdrawals, and deposits. This requires the status and balance of each account to be […]

In every industry, real-time data, event-driven systems, and the use of Apache Kafka® have ramped up to the point of being indispensable to business. In fact, streaming data is growing […]

It should come as no surprise that financial services (FinServ) organizations are fiercely driven when it comes to earning market share. After all, the FinServ industry is projected to reach […]

Hello there, we are glad you are here with us in this blog post today. We will be taking a journey by using Confluent technology to efficiently migrate data from […]

Whether it’s ordering shoes online, depositing a check through a banking app, or reserving a ride-share to the airport, customers today expect transactions to be fast and seamless. To make […]