By Irem Radzik on Apr 04, 2014
The power shifted to us, consumers. The digital revolution allows us to access broader set of services, and communicate without boundaries. Today we demand more and better choices in a competitive market, putting pressures on businesses to catch up with our expectations.
By offering differentiated and improved experience to their customers organizations see that they can drive revenue growth via higher loyalty, and improved brand perception. Because technology is a key enabler for delivering superb and consistent customer experience across all touchpoints, in recent years customer experience solutions have become a top priority for CIOs. Thanks to the availability of big data analytics, organizations can now analyze a broader variety of data, rather than a few basic data points, and gain deeper insight into their customers and operations. In turn, this deeper insight helps align their business to provide a seamless customer experience.
In our digital, fact-paced world we produce large volumes of data with unprecedented velocity. This data contains perishable value that requires fast capture, analysis, and action to be able to influence the operations or the interaction with the customer. Otherwise the insight or action may become irrelevant, which decreases the value for the customer and the organization significantly. To extract the maximum value from highly dynamic and perishable data, you need to process much faster and take timely action. This is the main premise behind Oracle's Fast Data solutions, which we have discussed in previous blogs and webcasts.
Real-time data integration and analytics play a crucial role in our new world of big and fast data. Organizations that look into leveraging big data to create greater customer experience, need to evaluate the analytical foundation behind their customer-facing systems and resulting interactions, and determine whether they can improve how and when they collect, analyze, and act on their ever-growing data assets.
In our next webcast my colleague Pete Schutt in the Oracle Business Analytics team and I will discuss how organizations can create value for their customers using real-time customer analytics, and how to leverage big data to build a solid business analytics foundation using the latest features of Oracle Data Integration and Oracle Business Analytics. We will provide multiple customer examples for different solution architectures.
Join us on April 15th 10am PT/ 1pm ET by registering via the link below.
Tuesday, April 15th 10am PT/ 1pm ET
Until we meet at this webcast, please review my related article on this topic published on DBTA earlier this year: How to Turn Big Data into Greater Customer Experience, One Customer at a Time.