Frequently Asked Questions

Simply a form of question and answer. If you have a question, you can leverage your data along with analytical techniques to answer that question, sometimes quicker than a human can. These answers, or insights, will provide you with more effective decision making.
Analytics can answer questions faster than a human, and in some cases, in a fraction of a minute. Analytics is the process of studying years of historical data to tell you which data is important, why it's important, and what to do about it in the future. Your data provides real insights into past performance, habits, and behaviours from customers that can be used for future decision making.
Transparency around how a model was developed (such as how data sets feeding into a model were combined) and the ability to explain how a model arrived at a particular result. At Desa Analytics, we focus on providing Approachable AI for our clients to ensure they have a deep understanding of how their AI models operate.
Data analytics is not meant to replace a human's experience, simply complement it with the help of a tool which can analyze and visualize historical data quickly, leaving the interpretability of that data up to you.
AI models don't predict events, they predict the probability that an event might happen under a set of key assumptions. Those assumptions are outlined before building an AI model and must hold true in order for the probability estimate to be useful. If circumstances change, then the assumptions change and therefore the models need to be adjusted.
Depending on which service package our clients purchase, project completion time will vary. However, we aim to deliver results to our clients within 4-6 months. Within this timeline, we work with you to prioritize your most pressing concerns and issues first to ensure we are solving important problems quickly and effectively.
Models add tremendous value in providing forward-looking assessments of risks and opportunities with regards to your customers, revenues, costs, etc. Forward looking models allow you to proactively assess, for example, the probability of a customer churning, and be able to take certain actions today to reduce that likelihood and keep that business.
Models study habits and behaviours in your historical data. They aim to identify and flag certain habits that repeat frequently and then correlate those habits to a certain outcome (such as a customer churning). Habits with higher frequency are given higher importance within the model to predict the probability of specific outcomes and behaviours.
Our Artificial Intelligence and data analytics solutions are not designed to replace individuals, but simply, complement what teams are currently doing. Our solutions are designed to optimize efficiencies and processes by providing our clients with tools that are reliable and scalable to carry out tasks more efficiently and effectively.