Big data spans three dimensions: Volume, Velocity and Variety

Volume: Enterprises are awash with ever-growing data of all types, easily amassing terabytes—even petabytes—of information.

–Turn 12 terabytes of Tweets created each day into improved product sentiment analysis
–Convert 350 billion annual meter readings to better predict power consumption –Turn 12 terabytes of Tweets created each day into improved product sentiment analysis
–Convert 350 billion annual meter readings to better predict power consumption 

  Velocity: Sometimes 2 minutes is too late. For time-sensitive processes such as catching fraud, big data must be used as it streams into your enterprise in order to maximize its value.

–Scrutinize 5 million trade events created each day to identify potential fraud.
–Analyze 500 million daily call detail records in real-time to predict customer churn faster.

The latest I have heard is 10 nano seconds delay is too much.

Variety: Bigdata is any type of data - structured and unstructured data such as text, sensor data, audio, video, click streams, log files and more. New insights are found when analyzing these data types together.–Monitor 100’s of live video feeds from surveillance cameras to target points of interest

Exploit the 80% data growth in images, video and documents to improve customer.