A fascinating article demonstrating the challenges of Big Data, what it is, and how companies are starting to approache the problem.
"Increasingly large amounts of data are collected and stored but to no
discernible advantage. While the data is actually there, the in-house
relational database tools are simply not equipped to deal with such a
massive amount of data in anything like a realistic time frame. Instead,
companies are turning to solutions that combine in-memory computing
engines with the distributed parallel processing power of multiple servers."
But the problem as always is what to do with all the data. When you have torrents of data hitting your system, making an intelligent and accurate decisions starts to get challenging. Getting the data to tell the story you want or match your conclusions is easy enough, but letting the data tell the story is the challenge. The bigger challenge is accepting the results.
Showing posts with label big data. Show all posts
Showing posts with label big data. Show all posts
Friday, 3 August 2012
Friday, 15 June 2012
Operational Intelligence: Real-Time Business Analytics for Big Data
Webinar Abstract
Link to webinar here.
Most business intelligence (BI) implementations query data that is a few hours or minutes old, representing business processes that have already completed. Even so called “real-time” BI reports are generated using historical data. While this historical view of data has some value, it does not represent the complete picture. Fully-informed business decisions require real-time insight into high-volume streaming data sources, current events, and ongoing business processes.
Operational intelligence (OI) correlates the real-time analysis of big data in motion with historical data, delivering complete business insight in milliseconds. By continuously analyzing big data in motion, events, and business processes as they are happening, OI enables fully informed decisions that maximize business impact. Real-world implementations of OI are available for energy utilities, mobile telecommunications, cyber security, merchandising or pricing, e-commerce, corporate performance management, and social media.
In this Webinar, you will learn:
Link to webinar here.
Most business intelligence (BI) implementations query data that is a few hours or minutes old, representing business processes that have already completed. Even so called “real-time” BI reports are generated using historical data. While this historical view of data has some value, it does not represent the complete picture. Fully-informed business decisions require real-time insight into high-volume streaming data sources, current events, and ongoing business processes.
Operational intelligence (OI) correlates the real-time analysis of big data in motion with historical data, delivering complete business insight in milliseconds. By continuously analyzing big data in motion, events, and business processes as they are happening, OI enables fully informed decisions that maximize business impact. Real-world implementations of OI are available for energy utilities, mobile telecommunications, cyber security, merchandising or pricing, e-commerce, corporate performance management, and social media.
In this Webinar, you will learn:
- What operational intelligence is and does, plus what technologies enable it
- Business and technology requirements that are driving user organizations toward true real-time analytics and reporting with big data
- Real-world applications for operational intelligence
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