Technology and outsourcing services firm Capgemini has unveiled a new service for firms to help better manage ever-growing amounts of data, by utilising Amazon Web Services cloud computing platform.

Capgemini claims the Elastic Analytics services will offer customers an end-to-end and big data analytics solution and will support most leading business intelligence (BI) software packages.

The Elastic Analytics services works by combining large source sets of structured and unstructured data. It does this using existing extract, transform, load technologies and the AWS Hadoop-based solution, Amazon Elastic Map Reduce (EMR). Once collected it then extracts and merges the data into analytics engines that can be used by businesses to study the data.

Capgemini senior vice president for business information management (BIM) Scott Schlesinger said that AWS’ adaptable nature makes Elastic Analytics one of the most flexible and cost effective big data solutions available.

“Organisations are continuously looking for optimized solutions that deliver shorter ‘time-to-value’ advanced analytics. AWS is a highly adaptable and extensible platform that rapidly offers organizations the ability to launch and sustain their advanced analytics initiatives,” he said.

Big data management is a growing problem facing businesses around the world, with many holding vast reserves of unstructured and often unprotected data.

Numerous companies have listed solving the big data problem as a key opportunity, with firms like SAP offering similar analytics tools through its HANA platform. The German software firm originally loaded its HANA analytics database platform as an enterprise cloud service into the cloud in May.

HP has also taken interest in the market, with chief executive Meg Whitman claiming traditional IT solutions are no longer sufficiently powerful for enterprise-level businesses, warning during a speech at HP Discover earlier this year that companies will need to move their systems into the cloud if they hope to compete in the new landscape.