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IBM > Case Studies > Helping businesses uncover new opportunities with IBM big data
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Helping businesses uncover new opportunities with IBM big data

Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Education
Applicable Functions
  • Product Research & Development
Services
  • Data Science Services
The Challenge
The Poole College of Management at NC State University wanted a platform to help students turn big data into knowledge for better decision making. The school integrates teaching, research and active engagement with businesses to give students real-world experience in uncovering new business opportunities. As the Poole College of Management evaluated big data platforms that its students could use when working with local businesses, staff looked for a solution that could efficiently handle an extremely large volume and variety of structured and unstructured data.
About The Customer
North Carolina State University (NC State) is one of the largest technical universities in the Southeast United States. Located in Raleigh, NC State serves more than 34,000 students and is recognized for its leadership in science, technology, engineering and mathematics. The Poole College of Management at NC State focuses on delivering “management education for a technology driven, global marketplace.” The school integrates teaching, research and active engagement with businesses to give students real-world experience in uncovering new business opportunities.
The Solution
The college selected an IBM big data solution, including IBM® InfoSphere® BigInsights™ and IBM Content Analytics software. InfoSphere BigInsights software makes it simpler for the organization to use Apache Hadoop and build big data applications. It incorporates the administrative, discovery, development, provisioning, and security features that businesses need, along with best-in-class analytical capabilities. IBM Content Analytics software uses sophisticated natural language processing to understand the meaning and context of human language within textual information from documents, online content, emails and much more. In addition to implementing IBM big data software, Dr. Kowolenko’s team also used IBM PowerLinux™ servers to create high-performance, energy efficient, and reliable cloud computing environment for delivering its new big data applications.
Operational Impact
  • Helped identify new business opportunities more than 200 times faster and with fewer resources for a chemical company.
  • Increased IT efficiency.
  • Enabled students to apply big data analytics to real-world business problems.
Quantitative Benefit
  • Uncovered new prospects in just a few hours—more than 200 times faster than before.

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