We are surrounded by a huge amount of data in everyday life. Computing power became more powerful and available in the last few years making the processing of the huge amount of data possible. Data sets are becoming more large and complex, and that makes it difficult to analyze and process data using traditional tools.
BIG data are extremely large datasets that can be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions. Google for instance processes over 40,000 search queries every second (visualize them), which translates to over 3.5 billion searches per day. Google Analytics allows companies to see how many searches have been made, who is making the searches and where they are making them from all in a matter of 0.5 seconds. These analytics help companies improve their marketing strategy by targeting specific groups.
There are 5 reasons why BIG data is important
- It helps us understand and target specific customers
- It helps us optimize business process (such as delivery route optimization, product optimization, supply chain optimization etc.)
- It helps us keep track of our calorie consumption, activity levels and sleep patterns (based on the data collected from smart watches)
- It helps us track the performance of every football, tennis and baseball player
- It helps the National Security Agency (NSA) foil terrorist plots.
This is why BIG data is so fascinating to me. It was interesting to see how it was invented and how it works in real life. I think that the future usage of data will increase drastically!