What is the Operations Analysis big data use case?
Operations Analysis focuses on analyzing machine data, which can include anything from IT machines to sensors, meters and GPS devices. It’s growing at exponential rates and comes in large volumes and a variety of formats, including in-motion, or streaming data. Leveraging machine data requires complex analysis and correlation across different types of data sets. By using big data for operations analysis, organizations can gain real-time visibility into operations, customer experience, transactions and behavior.
Do you have real-time visibility into your business operations including customer experience and behavior?
Are you able to analyze all your machine data and combine it with enterprise data to provide a full view of business operations?
Are you proactively monitoring end-to-end infrastructure to avoid problems?
If you answered yes to any of the above questions, the Operations Analysis use case is the best starting point for your big data journey.
Through Operations Analysis, organizations can:
Big Data Use Case - Operations Analysis
Watch as Vijay Ramaiah, Product Manager IBM Big Data, he discusses the new class of big data applications that are delivering new operational insights by analyzing huge volumes of machine data.
Key Benefits and Uses of Operations Analysis
Christy Maver, IBM big data product marketing manager, describes what operations analysis entails and the primary benefits of employing it. Listen to the podcast (MP3, 00:19:59, 9,2MB)
Learn how Vestas implemented IBM’s big data solution to help predict weather patterns to increase turbine energy production.
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