Discover PerformanceHP Software's community for IT leaders // June 2012
Keep everything: The new data imperative
A big data expert talks about the culture change that drives success in a data-fueled economy.Make the change
The future of IT: No borders
HP Software CTO Mark Potts scouts the cloud-driven, highly mobile future.The future is now
Avis seizes online opportunity
Avis's John Peebles, VP-Online Marketing, describes how the car-rental giant accelerated growth of its web-based business.Watch now
Most read articles
Welcome to a new reality of split-second decisions and marketing by the numbers.
Looking toward the era when everyone — and everything — is connected.
Introduction to Enterprise 20/20
What will a successful enterprise look like in the future?
Challenges and opportunities for the CIO of the future.
Dev Center 20/20
How will we organize development centers for the apps that will power our enterprises?
IT Operations 20/20
How can you achieve the data center of the future?
What the workforce of 2020 can expect from IT, and what IT can expect from the workforce.
Preparing today for tomorrow’s threats.
Data Center 20/20
The innovation and revenue engine of the enterprise.
HP Software’s Paul Muller hosts a weekly video digging into the hottest IT issues. Check out the latest episode.
Speed, reliability, and quality are essential, but hard to balance. Get better insight into cloud resourcing and consumption.
Network with your peers and our experts and partners to learn how to maximize your Big Data analytics outcomes.
Information management index
Percentage of organizations handling large volumes of data that said the greatest difficulty was getting the right information to their management teams.1
Percentage of companies using cloud services citing business continuity and disaster-recovery readiness of the vendor as a concern.2
Percentage of organizations whose cloud portfolio includes virtualization providers (down from 61% a year earlier).2
Q: What are the three key skills of data scientists?
A: They can take a data set and model it mathematically and understand the math required to build those models; they can actually do that, which means they have the engineering skills ... and finally they are someone who can find insights and tell stories from their data. That means asking the right questions, and that is usually the hardest piece.
— Hilary Mason, bit.ly Chief Scientist, in The Wall Street Journal