Data Analysis

Using modern techniques, we inspect, cleanse, process, transform, and model data with the goal to discover useful information, make informed conclusions to guide business decision-making.
We also train you on to conduct analysis on your industrial data using contemporary data analysis tools to help you in decision making leading to business growth.

Descriptive analytics: This describes what has happened over a given period of time. Have the number of views gone up? Are sales stronger this month than last?

Diagnostic analytics: This focuses more on why something happened. It involves more diverse data inputs and a bit of hypothesizing. Did the weather affect beer sales? Did that latest marketing campaign impact sales?

Predictive analytics: This moves to what is likely going to happen in the near term. What happened to sales the last time we had a hot summer? How many weather models predict a hot summer this year?

Prescriptive analytics: This suggests a course of action. For example, we should add an evening shift to the brewery and rent an additional tank to increase output if the likelihood of a hot summer is measured as an average of these five weather models and the average is above 58%,