The term “big data” is becom­ing ubiq­ui­tous in the mar­ket­ing indus­try, but what exactly does it mean? For many, big data has become a con­fus­ing buzz­word, mak­ing it seem over­whelm­ing to know where to start and what ben­e­fits may be real­ized through invest­ments in big data technologies.

Big data usu­ally refers to the stor­age and man­age­ment of large quan­ti­ties of data. Tech­nolo­gies such as Hive, Aster Data, and Hadoop are com­monly ref­er­enced as tools and resources to help man­age and ana­lyze what can exceed petabytes of data stored across mul­ti­ple data­bases, as well as CRM and other systems.

As a result of the vol­ume of data, ana­lyt­ics requests can often take time and a series of SQL or other pro­gram­ming queries to process. Some ques­tions take longer than two weeks to get a response, which may result in missed mar­ket­ing oppor­tu­ni­ties. For­tu­nately, there are tools to help mar­keters dis­till big data and act quickly, before oppor­tu­ni­ties pass.

Today’s finan­cial ser­vices mar­keters have access to more infor­ma­tion about their cus­tomers than ever before, but the sheer amount of data can be over­whelm­ing. How can finan­cial ser­vices make sense of all their cus­tomer data that is stored in dif­fer­ent places, and use it to deliver tar­geted con­tent and offers that drive increased rev­enue oppor­tu­ni­ties? To help with these ques­tions, Adobe is offer­ing a FREE webi­nar next week to dis­cuss poten­tial big data mar­ket­ing oppor­tu­ni­ties. Click HERE to register.