Part of the beauty of all that data out there is most you never use, and almost no one worried about the quality of the data when it was entered. Now that Big Data is hot and machine learning is too, your data history is ready to be used. But, how about those errors? What errors? WSJ writes on medical health care and makes the point that up 95% of the records have errors and doctors are asking patients to review their medical records.

Health-care providers are giving patients more access to their medical records so they can help spot and correct errors and omissions.

Studies show errors can occur on as many as 95% of the medication lists found in patient medical records.

Errors include outdated data and omissions that many patients could readily identify, including prescription drugs that are no longer taken and incorrect data about frequency or dosage.

Any one who has worked on asset management or ewaste and end of life of hardware discover how inaccurate inventory management can be.

If you don’t think of the quality of data, then you’ll have a much harder time using your data history.