If you’ve been shying away from exploring co-managed IT services opportunities, it might be time to think again. Co-managed is here to stay, and is likely going to be a big play for MSPs looking to move up market, especially considering the increasing pricing pressures we’re seeing in the market.
What does a normal day look like for your service desk? A flood of incoming tickets. Insufficient data to quickly find the root cause of issues. And a lack of remediation power to close tickets fast. Level 1 (L1) analysts are forced to spend time jumping across tools, reaching out to end users, or relying on guesswork to solve problems.
If you can harness the power of intelligent workflow automation, it has the potential to transform your operations and enable you to deliver on customer expectations. StartingPoint can provide your team with the necessary tools to embrace intelligent workflow automation. Before breaking down this platform, let’s take a step back and define what intelligent workflow automation is.
The days of taking an afternoon off from work to head over to the bank are long gone. Banks have rapidly digitized, offering the vast majority of their services to customers remotely. Now users can save, invest, borrow, and make other financial transactions from the comfort of their smartphone, wherever they are. Despite this consumer-facing digitization, many banks have clung to the status quo when it comes to their field operations.
By 2030, experts predict that there will be over 40 million connected devices worldwide. These “devices” are a variety of endpoints, such as laptops, smartphones, computers, and more. Businesses and organizations around the world rely on these endpoints to complete tasks, communicate, and access information. In this overview, we’ll go over the different types of endpoint devices and how they affect an IT environment.
Apache Cassandra is a highly scalable, open source NoSQL database system designed to handle large amounts of data across multiple commodity servers with no single point of failure. Apache Cassandra can be run as a single node but starts making sense when its run in a cluster setup. The system is optimized for high write throughput and is known for its ability to handle big data workloads with ease at super-low latencies.