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Accenture and Hortonworks address the need for big data analytics with Hadoop-based solutions.
Increasingly organizations are looking to unlock value from rapidly exploding volumes of new sources of data in order to gain competitive advantage and improve operations. Many are struggling to manage the increasing complexity and diversity of data, while also accelerating value and ROI from their investments in big data and analytics.
Accenture and Hortonworks work with clients across major industries to help gain advanced decision-making capabilities and achieve their business outcomes from big data through business insights.
Our joint collaboration underscores Accenture’s commitment to bring emerging big data and analytics technologies such as Apache ™Hadoop® to our clients, helping them build effective and outcome-driven data supply chains.
Accenture and Hortonworks can help clients create big data analytics solutions in areas consisting of sensor networks, fraud detection and data lakes, based on the open-source Apache Hadoop data platform.
We bring specific solutions to address big data challenges to help you capture and analyze new kinds of data at scale to gain new insight into customers and prospects, better understand processes, and be more proactive and predictive with your business.
We provide end-to-end big data solutions at enterprise scale because we bring world-class innovation and assets, advanced analytics skills, client experience and solutions for specific industries as well as across functional areas.
We build a technology ecosytem to drive business results from big data by harnessing emerging technologies, such as Hortonworks’ Data Platform.
As enterprises begin to harness their big data, they are increasingly relying on Hadoop as part of their modern data architecture. Our alliance combines Accenture’s industry capability, analytics skills and focus on moving from big data to big outcomes with the strength of the Hortonworks Data Platform which operates on the open source Enterprise Hadoop platform.
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