Google announced Android for Work today, unveiling its new tools and strategy for using Android devices in the workplace.
- PilotHouse Vendor Rating
- Big Data, Analytics and Virtualization
- Contact Center and Customer Engagement
- Cloud and Data Center
- Cost Models and Total Cost of Ownership
- Enterprise Trusted Advisor
- IT Innovation, Transformation, and Enterprise Technology
- Mobile and Network Services
- Security, Risk Management, and Compliance Research Initiatives
- Unified Communications and Collaboration
YES! Typically, when we think of enterprise mobility, it’s a very different beast. The majority of announcements in the greater collective of the mobile world are aimed at the consumer side.
Email, the scourge of today’s workforce that keeps millions upon millions from actually getting anything done seems to exist as a necessary evil in the corporate collaboration environment.
Big Data, Bright Prospects
“Big data” means managing and interpreting new streams and sources of data, or across existing streams of previously uncombined data. It can come from existing databases and documents, new feeds of audio and video, or the “network of things” taking shape in the environment. It creates unprecedented volumes of data for analysis—between a doubling and an order of magnitude increase is typical. Nearly 30% of organizations have initiated big data projects. Another 5.6% expect to in the next 18 months. The threshold for moving into big data territory is approximately 1 Petabyte of data right now. The top driver of big data projects is the need to analyze already on hand, followed by initiatives facing out toward customers. Big data creates technology challenges around storage and management, as well as organizational challenges. There is no dominant model for big data ownership. Fewer than half of initiatives have a dedicated owner, and the rest are spread across work groups, and various sorts of intra- and inter-departmental teams. However, having a clearly identified owner at high levels is a success strategy. Enterprise Technology (ET) organizations should get out in front of the big data efforts in their own organizations; focus on finding high-ranking leadership for the project; and watch the amount of storage they have closely.