May 26, 2016
Accenture Completes Acquisition of OPS Rules, Enhances Its Machine Learning and Operations Analytics Capabilities for Clients
NEW YORK and WALTHAM, MA; May 26, 2016 – Accenture (NYSE: ACN) has completed its acquisition of OPS Rules, a boutique analytics consulting company that specializes in the application of data science to create supply chain and operations analytics solutions. The acquisition enhances Accenture’s machine learning and operations analytics capabilities that can be used to develop innovative and transformational solutions for clients across industries.
In addition to joining Accenture Analytics, OPS Rules will be a part of Accenture’s Data Science Center of Excellence (CoE), a global innovation team that focuses on solving immediate and complex client problems through advanced analytics approaches, including machine and deep learning. While in the CoE, OPS Rules will be focused on developing pioneering analytics solutions that can help clients to establish more effective supply chain and manufacturing operations.
OPS Rules’ data science experts – which includes David Simchi-Levi, a Professor of Engineering Systems at the Massachusetts Institute of Technology (MIT) and renowned supply chain and operations analytics expert – have experience in applying machine learning and optimization techniques to provide multi-echelon inventory optimization, custom supply chain analytics, supply chain risk management and dynamic pricing services.
“Our clients are increasingly asking us for innovative analytics solutions that involve advanced techniques like machine learning, so they can find new ways to experiment with their data and skillfully maneuver ahead of the competition,” said Narendra Mulani, chief analytics officer, Accenture Analytics. “The addition of OPS Rules’ sophisticated talent and David Simchi-Levi’s decades of operations analytics experience will expand our end-to-end analytics capabilities and enhance our ability to leverage machine learning techniques and optimize business operations for clients around the globe.”
Accenture Analytics takes an issue-led, outcome-focused and industry-specialized approach to addressing its clients’ analytics needs. Additional details on Accenture Analytics can be found here.
Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions – underpinned by the world’s largest delivery network – Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With approximately 373,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.
Accenture Analytics, part of Accenture Digital, helps clients to use analytics and artificial intelligence to drive actionable insights, at scale. Accenture Analytics applies sophisticated algorithms, data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomes—to improve their performance and disrupt their markets. With deep industry and technical experience, Accenture Analytics provides services and solutions that include, but are not limited to: analytics-as-a-service through the Accenture Insights Platform, continuous intelligent security, machine learning, and IoT Analytics. For more information, follow us @ISpeakAnalytics and visit www.accenture.com/analytics.
About OPS Rules
OPS Rules has been serving clients in the supply chain analytics and operations consulting areas for over four years. The firm focuses on supply chain and operations analytics that transform complex supply chains for competitive advantage and significant performance gains. The firm transfers these competencies so clients can become data driven through analytics and realize significant savings and performance results.
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