Top 7 Deadly Sins of Big Data Users


#4 Polemy – Data definition, Use disagreements:

Clearly a continuation from the previous step, unclear and confusing reports can always lead to disagreements within an organization. If an organization holds employees who disagree with reports and are often confused on action needed, then organizations must consider this phenomenon as one deadly sign in big data appliance. It’s certain that these implications can slow down a company as people within are often confused or are unclear and uncertain on how to act on big data. Williams said “It's shocking how often that happens."

#5 Imprudence – Jumping to conclusions:

This is another big mistake that companies often fall for. With lot many reports and statistical analysis available, companies tend to go for quick conclusions without proper examinations. These bad conclusions can really alter and affect the processing and structuring of the company. According to certain reports, inexperienced companies often succumb to wrong decisions that can definitely result in alarming turnovers. There are many examples of companies changing their so called successful business models because of other people’s conclusions or simply by misinterpretation of data. "We encourage people to verify, run their own tests, and then decide if something that has become common knowledge really works," said Williams.