How to improve efficiency on analysing big data on a large number of measurement and verification projects

Big data can be defined as a collection of large and complex data sets which are difficult to process using readily available or traditional data processing applications. These big data sets introduce new challenges such as capture, storage, search, sharing, transfer, analysis, versioning and visualization. This paper present a design philosophy, techniques and experience, from an information technology perspective, in dealing with large quantities of energy data. It provide a vehicle for the general (non-IT) user to increase his or her efficiency in analysing and visualizing energy data for business decisions.