BigData is a huge amount of complex data while BigData analytics are tools and human analysis to get solutions for real problems.
We live in the BigData hype era with a lot of expectations from the companies.
According to a survey by PwC and Iron Mountain, 75% of the big companies use BigData, but only 4% obtain satisfactory results, and 43% get very small results.
The BigData analytics technology is passive and waits for a human input. As the human input increases the result gets more tendentious.
Between the information and the decision maker exist a bunch of tools and people that make analysis in blocks that generates high costs. There is also a big delay between the problem to the actual solution.
The biggest amount of BigData softwares count and filter words determined by analists. The cause and effect relations are made by humans.