amrita.arora
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
Reasons behind Big Data Discrepancies
Big Data is growing bigger and bigger every day.
But, as it is growing, it is also becoming more complex. And complexities usually lead to discrepancies in interpretation of same information. As it is said that, “Prevention is better than cure.” Similarly, identifying these discrepancies and the reasons behind them at an early stage is better than allowing them to become a bigger problem.
Lisa Morgan, Freelance Writer, in her presentation at Information Week, has pointed out six major causes behind big data discrepancies. They are:
- Same Data, Different Quality
- Data-Cleansing Issues
- Problems with the Algorithm
- Models Differ
- Model Complexity Differs
- Interpretations Differ
To understand them in detail, please visit the following link:
Stay Informed
When you subscribe to the blog, we will send you an e-mail when there are new updates on the site so you wouldn't miss them.
About the author
Sigma Connect
Comments