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:
The Forrester Wave™: Big Data Streaming Analytics Platform
Read report to understand why IBM was named a leader in big data streaming analytics platforms and why InfoSphere Streams received the highest score possible in the implementation support and ability to execute categories.
Operations Analysis Use Case
Learn how you can gain real-time insights, become more proactive, identify and investigate anomalies and monitor end-to-end infrastructure.
Big Data Use Case - Operations Analysis
See how 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
Learn what operations analysis entails and the primary benefits of employing it.Listen to the podcast (MP3, 00:19:59, 9,2MB)
The rise of the machine data: Are you prepared?
The amount of machine data available requires complex analysis and correlation across different types of data sets. Companies that can perform this analysis stand to reap the rewards.
TDWI Big Data Maturity Model and Assessment Tool
Sponsored by IBM, this big data maturity online assessment tool enables organizations to objectively measure the maturity of an enterprise’s big data analytics program across five dimensions that are key to deriving value from big data analytics: organization, infrastructure, data management, analytics, and governance.
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