Capgemini, a provider of consulting, technology, and outsourcing services, has released Elastic Analytics, a new end-to-end business intelligence (BI) and big data analytics solution, via Amazon Web Services (AWS).
Elastic Analytics is an enterprise-ready, integrated solution that includes the infrastructure, management, security, support, and maintenance to run analytics solutions on a cloud environment. Elastic Analytics supports most leading BI software packages and can combine large source sets of structured and unstructured data, using existing ETL technologies and the AWS Hadoop-based solution, Amazon Elastic Map Reduce (EMR), to extract and merge the data into highly optimized analytics engines.
"Capgemini is enabling global enterprise organizations to rapidly scale out BI and big data solutions in the cloud, and we're excited to be working closely together with them to bring these benefits to customers via AWS," said Terry Wise, director of worldwide partner ecosystem at AWS, in a statement.
"Organizations are continuously looking for optimized solutions that deliver shorter time-to-value advanced analytics," said Scott Schlesinger, senior vice president for business information management at Capgemini, in a statement. "AWS is a highly adaptable and extensible platform that rapidly offers organizations the ability to launch and sustain their advanced analytics initiatives."
"Organizations are struggling with the deluge of data and the ability to rapidly respond to new demand for insight from their business users. Cloud offers a way to deliver solutions quickly but BI and big data infrastructure is complex to set up," said Lanny Cohen, global chief technology officer at Capgemini, in the statement. "Capgemini partners with the leading cloud providers globally, and most recently has worked closely with AWS to create Elastic Analytics, a new end-to-end business intelligence and big data analytics solution available via AWS, to directly address this need."