Big data: managing vast quantities, varied formats, split-second velocities
Big data and information integration capabilities make it possible to generate insight from vast quantities of data—fundamentally changing the way organisations use information. It means filtering petabytes of data per second from almost any connected device, analysing the data while still in motion, deciding what, if any, data must be stored, and even using analytics tools to virtually integrate the data with data stored in traditional warehouses. Organisations can integrate and analyse unstructured data wherever it lives—including the Internet—without overwhelming enterprise data warehouses. One financial services company was able to improve fraud detection by comparing tens of millions of individual transactions against seven years worth of customer data in real time, rather than 30 days—without overwhelming the data warehouse or incurring prohibitive expense. IT departments integrating big data with already-stored data can enable new forms of analysis such as forecasting and predictive modeling.
Knowledge discovery and data mining extract value from data
Forward-thinking IT leaders are taking advantage of federated data solutions to build on the smarter computing model. These solutions are designed to help you take control of your data and content from heterogeneous sources so you can build a single version based on all of your data whether in motion or at rest, consolidated or federated. Analytics can help you gain insights, discern patterns, even predict trends.
IBM offers software, systems and extraordinary expertise—with fully integrated solutions to help you get the most out of your data while keeping costs under control and meeting key industry and regulatory compliance goals.
Managing Information
In storage management today, breaking the cycle of increased complexity and explosive data growth can be a big challenge. The old ways of buying and managing storage have become less effective. Due to resource constraints — both physical storage and human resources — IT organizations must act quickly to optimize and simplify their storage infrastructure and manage it more efficiently. In order to make their storage infrastructure more efficient, clients need to store more with what they have on the floor. Unchecked complexity and growth will only become bigger problems over time.
Analysing Information
90% of the data in the world today has been created in the last two years alone. As data growth accelerates and new data sources proliferate, we have the opportunity to turn information overload into an asset for smarter decision-making. Smarter organisations are looking for ways to use this data to identify new markets, safeguard their assets, optimise business process and improve customer service – without breaking the bank. Clients need to have the capabilities to extract new insights about their business models and processes from the immense volume, variety and velocity of non-relational data sources. They need to be able to capture and act on all of their key business data….all of the time…just in time.
Solutions for managing and analysing big data
Managing Information
In storage management today, breaking the cycle of increased complexity and explosive data growth can be a big challenge
Analysing Information
90% of the data in the world today has been created in the last two years alone. As data growth accelerates and new data sources proliferate, we have the opportunity to turn information overload into an asset for smarter decision-making.
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Resources for big data
- IBM XIV and Vinci PLC
- City of Norfolk and IBM XIV Storage System
- The 2010 IBM Global CFO Study: Less data, more insight (US)
- IBM Report: Business Analytics and Optimisation (US) (394KB)
- Memphis Police Department: Using analytics to fight crime (US)
- Sun World International: Havesting data for insights (US)
- University of Ontario Institute of Technology: Using data for better care (US) (563KB)
- VCU Health System: Improving patient care through smarter computing (US)