Predictive Analysis

Predictive analysis is the technology that learns from experience (data) to predict the future behavior of individuals in order to make/drive better decisions. In this definition, the word individual is a broad word that refers to people as well as other organizations and business.

Predictive analysis can help to improve the effectiveness of all massive functions across government, healthcare, business, nonprofit and law enforcement work.

The main difference between predictive analysis and forecasting is that later makes aggregate predictions on a microscopic level.  Forecasting will give you which presidential candidate will get the majority of votes in a certain state. Forecasting estimates the total number of ice creams cone that will be purchased in a certain state in the next month. Predictive analysis on the other hand, will tell you which category or individuals who lives in that particular state that will vote for a certain presidential candidate or who will buy ice creams.

Our aim is to extract insights from messy data from the past performance of your business, from the profits and losses you have made and help you make outstanding decision about productions according to the performance of the market in future. We help you to know which customers will respond positively to your new product, which customers will buy, which product will be in demand etc. We also help businesses to segment market according to different cultures, behaviors, living standard, income level and spending behaviors/ patterns of different customers

we will help you to create a predictive model for your business. A Predictive model is a mechanism that predicts the behavior of an individual, such as ad clicks, buy, lie or die. It takes in the characteristics of the individual as the input and provide a predictive score as the output. The higher the score, the more likely it is that the individual will exhibit the predictive behavior.

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