Business and Management

Why to Enforce and Measure Data Quality?

In the world of today's information-driven, implementing effective data quality management or DQM strategy can not be ignored.

DQM refers to the business principle that requires the right combination of people, process, and technology all with the common goal to increase the size of data quality is most important for an enterprise organization. If you are looking for top-rated data quality assessment & audit services then you are at right place.

Put more simply, effectively DQM is crucial to any company's business leaders who want to open an accurate and actionable insights from their data sets.

Data Audit

But to understand the importance of DQM is one thing, enforcing quality of other data.

Importance of Data Quality

With accurate data on your customers, you can better understand their needs and how best to reach them.

There are a number of ways to capture data from your customers. Items such as purchase information, feedback surveys and user profiles and sophisticated power CRMs mandate that just keeps getting better at analyzing customer data safe.

But all that means nothing if your organization can not separate the good from the bad of data. The poor data may lead to poor or slow decision-making of management, marketing ineffective and friction of customers or users.

Cost optimization

Overall, poor data quality is bad for business and has a significant cost associated with the time and effort.

In fact, Gartner estimates that the financial impact of the average financial impact of poor data quality in the organization is about $ 15 million per year. Another study by Ovum showed that the cost of poor data quality business at least 30% of revenues.

 

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