Case Study: Merkle achieves connected consumer recognition and 7-10X faster analytics with Cloudera Enterprise Data Hub

Merkle Delivers Connected Consumer Recognition with Its Enterprise Data Hub

Merkle, a Maryland-based customer relationship marketing agency, faced a rapidly growing big-data challenge: clients’ customer interactions across web, mobile, social, call centers, direct mail and TV produced massive, multi-structured datasets that their incumbent infrastructure couldn’t cost-effectively store, link or analyze to recognize individuals and deliver timely, personalized marketing.

Merkle deployed a Cloudera Enterprise Data Hub (Hadoop) in about six months—leveraging Flume, HBase, Hive, Sqoop and R plus Cloudera training and management—to power connected consumer recognition. The solution supports petabyte-scale data, gives analysts access to a year of history versus 90–120 days, and delivered 7–10× faster processing with roughly 60% lower TCO.

Merkle

Matthew Mobley

Chief Marketing Technology Officer