What BI Stays, and What Goes?
The idea that we won’t have to clean and disambiguate data is ludicrous.
Creating a Vascular System for External Big Data
Start planning for a world where signals are harvested from external repositories through APIs with built-in analytics.
Big Data Isn't Just for Big Companies
Wal-Mart had a big data problem before it was called “big data.” So did McDonald’s and any number of other massive companies.
Signal Hubs: The Next Generation of Machine-Learning
The massive firepower of big data processing systems to distill enormous amounts of data is being combined with real-time information.
How Machine Data and Operational Intelligence Can Supercharge Business Applications, Part II
How people can use a data fabric like Splunk to take machine data and use it to improve operational intelligence
Matt Calkins, CEO of Appian, Explains How Social Business + BPM + Mobile + Existing Apps = Worksocial
CITO Research sat down with Matt Calkins, CEO of Appian, to discuss the convergence of social business, BPM, mobile, and existing applications to create a new concept called worksocial.
How Machine Data and Operational Intelligence Can Supercharge Business Applications, Part I
Imagine that all your business apps were people, seated in an auditorium ready to hear a speech. Here’s what I would say to them about machine data:
Finding Business Insights in Machine Data
A large amount of data is now being created by Web servers, point of sale systems, RFID sensors, networks, and a variety of other systems that have long been used by people in the data center for diagnostic purposes and for performance analysis.
Growing Your Own Data Scientists
CIOs and CTOs must learn to address a challenge, involving the divide between the people who know about the vast amount of new sources of data emanating from machines and other devices (“big data”) and the questions in the enterprise whose answers can be monetized.
Splunk 4.3 Aims at Accelerating Business Adoption of Machine Data: Why Don’t CIOs?
After hearing Sanjay Mehta talk about Splunk Version 4.3, it occurred to me there was an important lesson for technology leaders lurking in the new features.
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Everybody knows about IRS audits. Much less well understood are Oracle audits where the software behemoth comes into a company and – much as the IRS wields the proverbial fine-toothed comb to hunt for irregularities – Oracle uses its version of a fine-toothed comb to sift through a company’s software library and its licenses. Every piece of software is inspected, and so are the appropriate Oracle licenses and contracts.
I’m told by people who would know that Jeff Bezos thinks of Amazon as a software company, not a retailer or an e-commerce company.
How is your organization going to harness the power of mobile devices? In many ways, the answer to this question is a proxy for your approach to technology in general.
Creation of VMs from a golden image can be automated, but the requirements are not easy to discover.