Data Centers

Tips for Improving Data Quality

The three big actions are auditing the quality of data, implementing data matching and defining a master record. Quality audits are an easy first step. The objective is to find data sources plagued by low-quality data and rectify the information at source. Poor-quality data sources typically use few rules to govern data input and formatting. A rules-based approach to the data-quality audit uncovers the likelihood of inaccurate data values.

Read the source article at Data Center Magazine

Categories: Data Centers, Fiber, SCN

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s