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Benefits Of Predictive Analytics And Data Mining Services

Predictive Analytics is the process of dealing with variety of data and apply various

mathematical formulas to discover the best decision for a given situation. Predictive analytics gives your company a competitive edge and can be used to improve ROI substantially. It is the decision science that removes guesswork out of the decision-making process and applies proven scientific guidelines to find right solution in the shortest time possible.

Predictive analytics can be helpful in answering questions like:

Who are most likely to respond to your offer?

Who are most likely to ignore?


Who are most likely to discontinue your service?

How much a consumer will spend on your product?

Which transaction is a fraud?

Which insurance claim is a fraudulent?

What resource should I dedicate at a given time?

Benefits of Data mining include:

Better understanding of customer behavior propels better decision

Profitable customers can be spotted fast and served accordingly

Generate more business by reaching hidden markets

Target your Marketing message more effectively

Helps in minimizing risk and improves ROI.

Improve profitability by detecting abnormal patterns in sales, claims, transactions etc

Improved customer service and confidence

Significant reduction in Direct Marketing expenses

Basic steps of Predictive Analytics are as follows:

Spot the business problem or goal

Explore various data sources such as transaction history, user demography, catalog details, etc)

Extract different data patterns from the above data

Build a sample model based on data & problem

Classify data, find valuable factors, generate new variables

Construct a Predictive model using sample

Validate and Deploy this Model

Standard techniques used for it are:

Decision Tree

Multi-purpose Scaling

Linear Regressions

Logistic Regressions

Factor Analytics

Genetic Algorithms

Cluster Analytics

Product Association

Should you have any queries regarding Data Mining or Predictive Analytics applications, please feel free to contact us. We would be pleased to answer each of your queries in detail. Email us at info@outsourcingwebresearch.com

by: Richard Kaith
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