1. Can you give an example of data that you think it could be considered as “Big Data”?
The telecommunication system in Thailand including clients of DTAC, AIS, True, TOT, CAT. The data of interest such as customer churn, service expansion.
2. What are the characteristics of the data that fit into 5Vs, or 7Vs, or 10Vs of Big data characteristics?
Volume: too large to analyse with traditional methods
Velocity: data collected in real-time and a rapid pace
Variety: many data types and come from many sources
Veracity: error free and credible reliability of the data source, its context, and how meaningful it is to the analysis based on it.
Variability: dynamic, evolving, spatiotemporal data, time series, seasonal, and any other type of non-static behavior in data sources
Validity: data accuracy and readiness for analysis
Viability: difficult to build robust models
Volatility: How old does your data need to be before it is considered irrelevant, historic, or not useful any longer? How long does data need to be kept for?
Visualization: how challenging it is to visualize.
Value: characterizing the business value, potential of big data to transform our organization