Over 80% of companies we’ve worked with reported the lack of well-established data quality standards within their organization. Consequentially, this leads to poor management of data, disrupted operational processes, corrupted data, and unreliable insights.
For companies lacking in data quality standards, establishing them may seem like an overwhelming task. It involves establishing standards by rehauling data creation and acquisition processes and using new tools & technologies to empower teams to take ownership of data.
This whitepaper can be used as a foundational guide to understanding ‘what’ these data quality standards are and ‘how’ companies can begin establishing them. It will also include additional information on how Data Ladder can be an important component in creating the framework for data quality.
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The white paper covers:
Data quality as the key factor business success
Typical causes of data corruption
Ascertaining data quality standards
How to set quality standards with data quality software
Data Ladder’s visual approach for business users is cutting-edge. The visual interface and well thought-out options make for simple and effective data cleansing implementations.
Gartner. Ted Friedman, Gartner – Author Magic Quadrant for Data Quality Tools
