The Hershey Company Partners with Infosys to Build Predictive Analytics Capability using Open Source Information Platform on Amazon Web Services
Infosys Information Platform Accelerates Data Insights on AWS Marketplace
Palo Alto, February 25, 2016: Infosys (NYSE: INFY), a global leader in consulting, technology and next-generation services, today announced that its
Infosys Information Platform (IIP) is now available on
Amazon Web Services Marketplace (AWS Marketplace). This will enable businesses to gain robust data insights quickly, while tapping into the flexibility and the lower cost of a cloud-based platform.
Enterprises can now test IIP on AWS free of cost for a one-day trial (AWS usage fees apply), giving them the opportunity to experience in real-time how the solution can operationalize their data.
For example, Hershey’s LLC, North America’s largest chocolate manufacturer, recently used IIP on AWS to analyze retail store data. The company wanted to gain valuable, revenue-generating insight faster than a traditional analytics implementation could deliver.
Phil Lerro, Senior Director, Enterprise Information Service, Infrastructure and Workplace Solutions, Hershey’s LLC
"We needed to establish our Hadoop landscape and extend our analytics and big data capabilities quickly. Partnering with Infosys, we had the landscape up and the data lake seeded for our analysts in less than a week. Using the Infosys Information Platform on AWS accelerated our deployment by weeks, if not months."
Dave McCann, Vice President, AWS Marketplace, Amazon Web Services, Inc.
"At AWS Marketplace, we are always looking to offer innovative solutions that help our customers harness the power of the AWS Cloud. By making IIP available in AWS Marketplace, Infosys is reducing the cost and complexity of gaining access to powerful, enterprise-class open-source technologies that enable data-intensive enterprises to innovate efficiently for their needs today and in the future. This solution can be deployed in minutes and tested, then purchased."
Abdul Razack, Senior Vice President and Head of Platforms, Infosys
"IIP on AWS is helping our clients realize the real promise of big data analytics faster. Over 200 clients have already experienced the power of IIP on AWS and seen that speed-to-insight does not have to come at the cost of expensive, inflexible proprietary approaches."
Additional examples of IIP on AWS include:
- A mining operator uses real-time data analytics of IIP on AWS -- ingesting and processing 27,000 messages per second – to predict which of its vehicles is about to fail, enabling repairs to be scheduled before downtime occurs
- An office automation vendor used machine learning and in-memory computing capabilities of IIP on AWS to analyze more than two million records of previous purchases and identify customers with a propensity to purchase particular products and services. The complete set of predictions was produced in seven seconds
- A freight rail operator wanted to reduce unnecessary breaking events, which resulted in operating delays. Infosys used the R programming language and IIP on AWS to analyze an expansive set of operational metrics and create a delay event prediction model. This helped the company adjust its Positive Train Control system to improve on-time performance
IIP on AWS is designed to foster such rapid adoption of end-to-end, scalable big data processing and analytics. As an open source platform, IIP carries no vendor lock-in clause, allowing projects to adapt easily and take advantage of new and emerging open source technologies. IIP takes leading open source components and adds value by wrapping technology enablers, accelerators and services around them.
Infosys also helps customize, integrate and implement the IIP platform alongside clients’ existing enterprise applications, and provides ongoing support for the open source components. Infosys has deployed 29 full production IIP projects.
In a market where data scientists are in high demand and short supply, Infosys offers access to more than 200 experienced data scientists in its analytics practice.
To learn more about Infosys IIP, please visit