A few bits of data-driven awesome as you head into your weekend.
In the Financial Post on Monday , IBM's Les Rechan argues that data-driven decision-making could alleviate if not solve many of Canada's productivity problems. He argues that "research shows analytically driven organizations outperform their competitors, delivering 49% higher revenue growth, 20 times more profit growth, and a 3% higher return on invested capital."
BankInfoSecurity.com posted an interview with Gartner analyst Neil MacDonald about the role of data analysis in cybersecurity. In the interview, MacDonald emphasizes the value of data in detecting and preventing threats:
Big data is being brought to solve the next generation of information security problems, but big data is being brought to solve the next generation of IT operations problems, things like application performance monitoring and root-cause analysis and behavioral monitoring of applications and behavioral learning. It's the same type of problem. Help me understand where anomalous behavior exists in my systems. Sometimes it's going to be security issues; sometimes it's going to be an operational issue, but the fact that it's anomalous behavior is of interest to both.
ZDNet published a podcast featuring a discussion with several key stakeholders in a massive undertaking to collect and analyze ocean and climate data, Ocean Observatories Initiative and the Cyberinfrastructure Program. The project is an amazing example of how different actors and interests can pool resources around massive amounts of data to do massive good.
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