Three V’s of big data and mobility
The combination of smartphones, tablets, and connected devices is creating a tidal wave of new data for businesses to store, process, and derive value from. Data sources and types are exploding as mobile, the Internet of Things, machine-to-machine (M2M), and social media produce exabytes of structured and unstructured data, commonly known as “big data.”
Unstructured data sources from social media, mobile application data, video, sensors, and other connected devices create new challenges in dealing with the three V’s of data management: Volume, Variety, and Velocity. While the existing installed base of business intelligence and data warehouse solutions weren’t engineered to support the three V’s, big data solutions are being developed to address these challenges.
I recently had the opportunity to speak with Sanjay Poonen, SAPs president of Global Solutions and head of mobility. Sanjay and I discussed the integration of big data and mobility. He offered some insight into the three V’s by sharing examples of how big data and the Internet of Things can come together to provide Right Time Experiences. The Internet of things provides valuable sensor data such that can be used to improve business processes.
For example, if a company understands the location of a customer, they can surface the appropriate data or service at the point of need. M2M has been around for some time but was largely been used in industrial automation such as controlling the temperature in a building.. The Internet of things can connect data about things to applications that employees and consumers will use to, A Right Time Experience is the act of providing the right information or service at the precise customer or employee point of need.
The Internet of things can connect data about things to applications that employees and consumers will use
One such as example is the Nissan LEAF. Its CARWINGS system wirelessly transmits energy economy statistics from all LEAFs to a central server. The central system also provides social RTEs by tracking each car’s driving efficiency and uses its “Regional Rankings” system to allow LEAF owners to compare their energy economy to that of other LEAF drivers in the region. The Nissan LEAF smartphone app also allows the user to control the charging process, remotely set the temperature in the car, and monitor battery life.
This is now possible thanks to the convergence of big data and mobile.