Show Me Potential Customers: Data Mining Approach

Session Details:

In the most marketing departments, the tactical question is about who are going to buy our products. It is more cost effective to identify and spend money on highly potential customers (than those who are not likely to purchase). This also affects the advertisement strategy. Potential customers and their traits can be identified by analyzing previous purchasing information. Management experts can predict who is going to be their new customers by analyzing their current customer purchase information. There are many data mining algorithms which can help with this task. Microsoft Business Intelligence employs data mining algorithms that are deployed in an easy to use environment. This demonstration based session will show how to use previous customer purchase information to predict potential customers. We will discuss
how to set data sets and use different data mining algorithms to get predictive results and then demonstrate how to find the best predictions.

Speaker: Leila Etaati

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Leila is Data Mining and BI Consultant, and Speaker. She has over 10 years’ experience working with databases and software systems. She was involved in many large-scale projects for big sized companies. Leila has PhD of Information System department, University of Auckland, MS and BS in computer science.

She speaks in SQL conferences around the world such as SQLPASS Rally 2015 Nordic, and SQL Saturday Oregon, and some other SQL Saturdays. She worked in Industries including banking financial, power and utility, manufacturing … She is a lecturer and trainer in Business intelligence and data base design course in University of Auckland.