Lookout iWork. Lookout Google Docs.
Big Splash for Big Data
Big Data is the new normal, present in the majority of organizations benchmarked and a growing presence in IT. Big Data projects aim to improve decision-making, the bottom line, or outcomes for client or customers; or simply visibility into operations. Projects may originate within IT, or IT may be handed projects after another department or division’s technology spend funds a successful proof of concept. To make Big Data projects more successful, organizations should be taking a full lifecycle approach to it, with policies guiding data from acquisition through to final disposition. Successful Big Data efforts earn a budget of their own, and have wide participation both inside and outside IT. Nemertes recommends that IT leaders: Investigate and evaluate Big Data projects going on outside IT’s purview; lead development of policies and processes to guide a full lifecycle for data; define and track metrics for evaluating the success of Big Data efforts; trumpet successes to cement budgets and attract more use cases; and involve lots of people inside IT and outside IT.
- Big Data, Analytics and Virtualization
- Contact Center and Customer Engagement
- Cloud Delivery
- Cost Models and Total Cost of Ownership
- Enterprise Trusted Advisor
- IT Innovation, Transformation, and Enterprise Technology
- Mobile and Network Services
- Security & Compliance
- Unified Communications and Collaboration
Have you ever launched an app and watch the battery meter drop before your eyes or feel your smartphone go nuclear?
Contact center vendors have made some big announcements in the past couple of weeks, including more emphasis on the cloud and creating a unified portfolio that tightly integrates