Web Analytics

predictive analytics is the process for dealing with diversity of data and application of various mathematical formulas to discover the best decision for a particular situation. Predictive Analytics gives your company a competitive advantage and can be used to significantly improve ROI. It’s a science to find the decision to remove guesswork from the decision making process and is proven scientific guidance to the correct solution in the shortest possible time.

Predictive Analytics can be helpful in answering questions such as:?

Who am responding best to your offer to ignore who most who are most likely set your service How much a consumer on the ? to spend a product that transaction is a scam What insurance claim is a fraudulent What resource should I devote to a given time

benefits of data mining include:?

Better understanding of customer behavior drives better decision Profitable customers be quickly detected and served so you generate more revenue by reaching hidden markets Target your marketing message more effectively Helps reduce risk and improve ROI. improve profitability by detecting abnormal patterns in sales, receivables, shops, etc. Improved customer service and trust Significant reduction in direct marketing costs

Basic Steps of Predictive Analytics as follows:

Spot the business problem or goal Discover various data sources such as transaction history, user demographics, catalog, details, etc.) extract different data patterns from the data above Build a test model based on data and classification problem of data, you will find valuable factors that generate new variables, construct a model with predictive test validation and implementation of this model

standard techniques for who are used:

Decision Tree Multi-Scale Linear regression logistic regressions Factor Analytics Genetic algorithms cluster Analytics Product Association

If you have any questions about data mining or predictive analytics applications, do not hesitate to contact us. We look forward to answering all your questions in detail. Email us at info@outsourcingwebresearch.com