There is more and more data that is available that can help inform businesses about their customers, and those businesses that successfully utilize these new sources and quantities of data will be able to provide a superior customer experience. However, predicting customer behavior remains very challenging. This post is the first in a series where we will go over examples of how Joe Blue, a Data Scientist in MapR Professional Services, assisted MapR customers in identifying new data sources and applying machine learning algorithms in order to better understand their customers. The first example in the series is an advertising customer 360; the next blog post in the series will cover banking and healthcare customer 360 examples. MapR works with companies who have solved business problems but are limited with what they can do with their data, and they are looking for the next step.

This post is the second in a series where we will go over examples of how MapR data scientist Joe Blue assisted MapR customers, in this case a regional bank, to identify new data sources and apply machine learning algorithms in order to better understand their customers. If you have not already read the first part of this customer 360 series, then it would be good to read that first. In this second part, we will cover a bank customer profitability 360 example, presenting the before, during and after. The back story: a regional bank wanted to gain insights about what's important to their customers based on their activity with the bank. They wanted to establish a digital profile via a customer 360 solution in order to enhance the customer experience, to tailor products, and to make sure customers have the right product for their banking style.

This post is the second in a series where we will go over examples of how MapR data scientist Joe Blue assisted MapR customers, in this case a regional bank, to identify new data sources and apply machine learning algorithms in order to better understand their customers. If you have not already read the first part of this customer 360 series, then it would be good to read that first. In this second part, we will cover a bank customer profitability 360 example, presenting the before, during and after. The back story: a regional bank wanted to gain insights about what's important to their customers based on their activity with the bank. They wanted to establish a digital profile via a customer 360 solution in order to enhance the customer experience, to tailor products, and to make sure customers have the right product for their banking style.

Carol has extensive experience as a developer and architect building complex, mission-critical applications in the Banking, Health Insurance and Telecom industries. As a Java Technology Evangelist at Sun Microsystems, Carol traveled all over the world speaking at Sun Tech Days, JUGs, companies, and conferences. She is a recognized speaker in Java communities.