ARTIFICIAL INTELLIGENCE AND BUSINESS INTELLIGENCE

Building a custom app allows our clients to not only clean up their data (both from a collection and a storage standpoint), but also collect more volume and more varied data sets than before. Once our clients have a clean set of data to work with, we are able to help our clients think through what types of insights they want/need to gather in order to grow most efficiently. From that conversation, we help our clients build custom reports and apply artificial intelligence tools where appropriate. This transition from information to insights to intelligence requires a blend of experts in design, development and data analytics.

To maximize your chances of success with AI, you must have data that serves the business.  We believe that to do this, you first have to design an app that users want to use - usage of your application means accurate, consistent and streamlined data collection. Second, thinking through how you will collect, store and analyze your data so it’s efficient and meaningful requires thoughtful architecture and database design. Finally, combining all data sources with an eye toward what kind of business decisions need to be made helps to ensure reporting actually supports decisions rather than just piling on more information.

There’s a mildly popular song from the 90s that mocks how all of us jump onto whatever bandwagon or recent trend to stay relevant, and today’s fever pitch around artificial intelligence seems no different. We have a saying within AppIt: don’t do anything unless you know why you’re doing it. Implementing AI just to have AI is a path toward inefficiency and risk. This is why we work so closely with our clients to determine ahead of time what their business goals are for considering artificial intelligence, and how we can get them there as quickly and efficiently as possible.