Predictive modeling can answer some of your toughest business questions. What is the lifetime value of my customers? Where should I spend my marketing budget? Will this new product line pique the interest of my clients and prospects? As business executives, the answers to these questions are invaluable. Imagine only marketing to people who were likely to buy your products. Moreover, what if you could predict consumer behavior and launch products and services that were certain to be a hit?

We're not talking about crystal balls or Ouija boards. The answer lies in predictive modeling. Predictive modeling is a concept that's somewhat hard to grasp. Unlike OnLine Analytical Processing (OLAP) or Sequel Queries (SQL), predictive modeling does more than process retrospective searches. Each model is created based on past behaviors and characteristics. The model is then used to predict consumer action.

The Art and Science of Predictive Modeling

To the untrained eye, there is lack of connectivity among the terabytes of data currently stored within your organization. Deciphering data, attributing actions, establishing trends and applying what you've learned is impossible given the sheer volume of information. Predictive modeling uses machine learning technology to yield calculable results such as increased revenue, improved customer retention, and decreased expenses.

At this moment, can you assign a value to your company's information? What is the growth potential involved in a predictive modeling project? Can you confidently expect a return on your investment? What steps can you take to ensure a profitable outcome? These questions and many others are covered in the educational series sponsored by The Modeling Agency. Before committing to this training event, learn more about predictive modeling and the role it has played in the success of many organizations. Seating is limited; reserve your space today by calling (888) 742-2454.