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Precision-01

The Qualytics 8: Precision

Many people confuse data precision with accuracy, but it’s important to understand each and the differences, especially when applied to data quality. Precision is defined as the exactness of the measurement. A highly precise television would reflect minute differences in colors with incredibly high pixel resolution. In data quality, precision assesses the depth of detail that is encoded in the data. To strengthen the definition, one may ask themself, “how tightly can my data be defined?”

TImeliness

The Qualytics 8 – Timeliness

Timeliness is a measure of how often data is available when it’s expected. It can be calculated as the time difference of when information should be available and when it is actually available. Informed business decisions depend upon consistent and timely information. Therefore, critical measures of data quality include tests specifying how quickly data must be propagated and compliance with other timeliness constraints such as periodic availability.

q8Acc

The Qualytics 8 – Accuracy

As mentioned, with Qualytics Compare, you can ensure consistency throughout your data. Our product works for you to identify incorrect data and the root cause for the error. Additionally, with Qualytics Protect, you can capture anomalies in data pipelines and quarantine records; or identify and alert on anomalies in your historical data. With our products, businesses are alerted of problems within their data, so the problems can be solved.

Big

Bad Data: Big Problem

Bad data. It sounds simple; it’s just inaccurate data or data that goes to the wrong place, right? Not quite. Even true data can be bad data. It may even be correct in every way— but duplicated or in the wrong field or simply not what you’re looking for. This is indeed bad data. Those small glitches in the system are where huge mistakes can arise. In today’s world that relies so heavily on data, bad data needs to be monitored to prevent it from spiraling into countless financial, operational, and reputational damage.