BEST DATA QUALITY MANAGEMENT SYSTEMS
WHAT DOES DATA QUALITY MEAN TO YOUR BUSINESS?
Many businesses talk about it and understand that it’s important, however, the majority are not really sure how to tackle data quality issues when they arise. The good news is, Marketsoft can help with professional data quality management services to businesses.
Make DQ a priority
Acknowledge the Importance of Data Quality (DQ). Effective business decisions depend on the quality of the underlying data used in analysis. Ignoring this valuable aspect of your business can cost you in the long-term as more and more companies are using to great effect.
Align DQ to business needs
Identify DQ imperatives
Implement continuous improvement
Have the right DQ controls
DATA QUALITY MANAGEMENT
Customer data is central to many initiatives. A successful data quality management program has both proactive and reactive components. The proactive approach consists of establishing governance, such as defining the roles and responsibilities, establishing the quality expectations as well as the supporting business practices, and deploying a technical environment that supports these business practices. Specialised tools are often needed in this technical environment.
Unfortunately, many companies learn about the importance of data quality management & maintenance the hard way. Only after a number of major setbacks with data usage do they recognise the need to improve data quality.
Research shows that 25% of data within an organisation is typically erroneous across at least one of these five data quality metrics:
We know Data hygiene and standardisation is a key part of ensuring data quality. Unfortunately, data standardisation is often left out of planning and discussions, especially when you’re implementing CRMs and martech systems.
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