SigmaWay Blog

SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

Common Mistakes in Risk Management : Big Data Analytics

Big Data is the Buzzword of 21st century as we know it and has been extremely useful in several risk assessment tasks. The effectiveness of Big data on risk management depends on accuracy,consistency ,completeness and timeliness of data. Some most common mistakes made by Big Data experts who are involved in risk management are : Confirmation Bias : It occurs when data scientists use limited data to prove their hypothesis.

Selection Bias : When data is selected subjectively, Analyst comes up with the questions and thus almost picking the data that is going to be received ( Ex : Surveys) 

Outliers : Outliers are often interpreted as normal data

Simpson’s Paradox : When group of data points to one trend, but can reverse when they are combined

Confounding Variables are overlooked

Analyst assume bell curve

Overfitting and Underfitting models

Read more at :


Rate this blog entry:
Adopting Business Intelligence Tools in SMEs
Most Common Myths about Stream Data Processing

Related Posts



No comments made yet. Be the first to submit a comment
Already Registered? Login Here
Monday, 21 September 2020
If you'd like to register, please fill in the username, password and name fields.

Sigma Connect

sigmaway forums


Raise a question

Access Now

sigmaway blogs


Blog on cutting edge topics

Read More

sigmaway events


Hangout with us

Learn More

sigmaway newsletter


Start your subscription

Signup Now

Sign up for our newsletter

Follow us