Big data contains consumer information including transaction data, demographic information, buying patterns, CRM data etc., collected across multiple platforms. The data gives an insight to the customers' preferences of support options, desired communication mode, future buying patterns, impactful promotions, etc. Big data provides better customer service in several ways. Using predictive analysis tools organizations can now predict a customers' next move also. Big data using these tools helps the organization to predict customers' present and future preferences, drive real-time decisions, increase customer retention and increase profitability. More than 77 percent marketers agree that individualized messages and offers are more effective than mass messages and offers, which can drive engagement, boost sales and increase conversions. Usage of Omni channel marketing strategy increases client retention rates and bring superior financial results. Using data to create a cross-platform customer engagement strategy ensures highest customer service. A multichannel shopping experience shapes a brand's story generating revenue and customer loyalty. In two years smartphone users will be more than basic phone users, mobile service increases at the rate of 7 percent annually. Thus best customer experience is delivered through mobile channels for high performance organizations. Unable to ignore the potentiality of social media big brands register tens of thousands of social media interactions every day. There are wide range of options available. Communication through online communities reduces call center costs. Read more at:
http://it.toolbox.com/blogs/insidecrm/5-ways-big-data-can-enhance-customer-service-62054