DQ Global

24April

It’s All or Nothing for Data Quality

It's no good doing things by halves if you want data quality. When you've done a data profiling exercise, you know where your data problems lie. That's half the exercise. Next you have to sort them out and deal with what might have a detrimental effect on the business. Change the metadata that doesn't match the data, and use data quality software to make sure the data is verified, complete and unique, with no duplicates.

Is the Data Fit for Business?

When you acquire another database, you know that just merging is not enough. You need to use merge purge software and to make sure that the new data is fit for the purposes of your users.

Your sales and marketing teams need a single customer view for their customer relationship management activities. Embarrassment is the least of their worries when customer records are incomplete or inaccurate. Members of the public find it really irritating when they receive mail addressed to someone who left their address years ago, and they can easily share their scorn for your mailings via social media. Meanwhile, the marketing budget will stretch much further if their targets' records have been passed through address correction software and data deduplication software.

Lack of Data Integrity Can Have Serious Consequences

Directors and senior managers must be confident of the business intelligence your data provides. If it has not been checked and verified, they cannot make the best decisions that will mean the difference between success and failure. Failure would mean everybody's job on the line, including yours.

So of course you want data quality. You can't afford to be half-hearted about it. If you don't already have what you need for data scrubbing, don't wait another minute to get the kit. All our data cleansing solutions can be tested with a free trial to find out how you can maintain clean data with a minimum of effort.



Posted in Data Quality

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