Just because we are an information technology company does not mean we solve every client’s challenge with software.
If the cause of the client’s pain is data related, then we look at what the best tool would be to fix it. But if the problem lies within a business process, then system integration is not the answer. Fixing the client’s procedure is. If a client already possesses adequate tools and just needs help establishing a more efficient workflow, (like this one) then that is how we serve. We figure out what change needs to happen then determine the appropriate technology to solve the challenge. We use technology as a catalyst for momentum; we don’t create a whole process around it.
The best result comes from asking the team made up of us and the client, “What problem are we trying to solve?” For example, here is a good analogy from Cassie Kozyerkov, Googles’ Chief Decision Intelligence Engineer: “If you’re opening a bakery, it’s a great idea to hire an experienced baker well-versed in the nuances of making delicious bread and pastry. You’d also want an oven. While it’s a critical tool, I bet you wouldn’t charge your top pastry chef with the task of knowing how to build that oven; so why is your company focused on the equivalent for machine learning? Are you in the business of making bread? Or making ovens?”
When we both define the problem and make a plan on how to solve it, the technology we need to use becomes obvious. For example, if you manufacture tubing and you know that you sell more fifty feet rolls of 9/32” inside diameter tubing in the spring, then you want to take the machines that make that tubing offline in the winter to service them. We then determine what language your 9/32” tubing machine speaks and write a program so the tubing machine can notify you know when it needs scheduled maintenance.
Just as you don’t throw money at a problem; you don’t throw technology at it either. We’re here to relieve the pain your data causes. Find out how here.