- PilotHouse Vendor Rating
- 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
- PilotHouse - UCC
- Security, Risk Management, and Compliance Research Initiatives
- Unified Communications and Collaboration
At the recent Genesys 2015 G-Force, I saw a futuristic demo in which pressing a button on a broken fridge automatically connected a person to a live agent to report an issue.
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.