Optima Analytica

Optima Analytica has been created to provide you AI news and tools. To get a better handle from big data to big insights we use four key types of data analytics: 1. Descriptive analytics = “What is happening?” This is used most often and includes the categorization and classification of information. We report on the flow of money through our smart systems: revenue and expenses, inventory counts, sales tax collected. Accurate reporting is a hallmark of our solid accounting practices with the help from Artificial Intelligence. Compiling and verifying large amounts of data is important to this accurate reporting. Diagnostic analytics = “Why did it happen?” Diagnostics are used to monitor changes in data. We regularly analyse variances and calculate historical performance. Because historical precedent is often an excellent indicator of future performance, these calculations are critical to build reasonable forecasts. Predictive analytics = “What’s going to happen?” Here, data is used to assess the likelihood of future outcomes. We are instrumental in building forecasts and identifying patterns that shape those forecasts. We act as trusted advisors, and we build powerful forecast models for fulfil your business goals. Prescriptive analytics = “What should happen?” Tangible actions — and critical business decisions — arise from prescriptive analytics. We use the forecasts that we create to make recommendations for future growth opportunities or, in some cases, raise an alert on poor choices. This insight is an example of the significant impact that Optima Analytica offers in the business world.