Descriptive Analytics

We use data aggregation and data mining techniques to provide insight into the past and answer: “What has happened?”

Descriptive analytics describe the past. The past refers to any point of time that an event has occurred, whether it is one minute ago, or one year ago. Descriptive analytics are useful because they allow us to learn from past behaviors, and understand how they might influence future outcomes.

Predictive Analytics

Predictive Analytics, uses statistical models and forecasts techniques to understand the future and answer: “What could happen?” It utilizes a variety of statistical, modelling, data mining, and machine learning techniques to study recent and historical data, thereby allowing analysts to make predictions about the future. Predictive analytics provides companies with actionable insights based on data and provides estimates about the likelihood of a future outcome

Data Visualization

Interactive data visuals Data Visualization is a powerful way to simplify the complexity in our data and present it in a form which is comprehensible, insightful and actionable. From early caveman paintings to today’s sophisticated information dashboards, we have used data viz in some form or the other since time immemorial

Data leads to insights; business owners and managers can turn those insights into decisions and actions that improve the business. This is the power of data.