Page 137 - Building Big Data Applications
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Chapter 7   Banking industry applications and usage  135


                   Reduce customer churn
                   Product enhancement
                   Deeper, data-driven customer insights are critical to tackling challenges like
                 improving customer conversion rates, personalizing campaigns to increase revenue,
                 predicting and avoiding customer churn, and lowering customer acquisition costs. And
                 consumers today interact with companies through lots of interaction points e mobile,
                 social media, stores, e-commerce sites, and more dramatically increasing the complexity
                 and variety of data types you have to aggregate and analyze. Think web logs, transaction,
                 and mobile data, advertising social media and marketing automation data, product
                 usage and contact center interactions, CRM and mainframe data, and publicly available
                 demographic data. When all of this data is aggregated and analyzed together, it can yield
                 insights you never had beforedfor example, who are your high-value customers, what
                 motivates them to buy more, how they behave, and how and when to best reach them.
                 Armed with these insights, you can improve customer acquisition and drive customer
                 loyalty.
                   The application for this process will be built using the big data analytics platform and
                 leverage all the datadstructured and unstructured, because you can combine, integrate,
                 and analyze all of your data at once to generate the insights needed to drive customer
                 acquisition and loyalty. The process can be customized to deliver different types of in-
                 sights for different teams of users or even a single management executive. For example,
                 you can use insights about the customer acquisition journey to design campaigns that
                 improve conversion rates. Or you can identify points of failure along the customer
                 acquisition path or the behavior of customers at risk of churn to proactively intervene
                 and prevent losses. And you can better understand high-value customer behavior
                 beyond profile segmentation, including what other companies they shop from, so you
                 can make your advertisements even more targeted.

                 Fraud and compliance tracking

                 Today in the world we live in, if you are responsible for security, fraud prevention, or
                 compliance, then data is your best friend. You can use it to identify and address issues
                 before they become problems. The fact is, security landscapes and compliance re-
                 quirements are constantly evolving, as are the methods that the bad guys are using to
                 defraud your business and customers. What can be delivered as applications include the
                 following/;
                   Cyber attack prevention
                   Regulatory compliance
                   Criminal behavior
                   Credit card fraud detection
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