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Data Quality Management
Companies that have successfully implemented Data Warehouses have consistently identified Data Quality as the most significant risk to Data Warehouse success.
DM Review states that:
'Poor data quality is the single largest failure point for data migration projects…'
The Gartner Group has concluded:
'Data inconsistency is one of the greatest risks and causes of failure in data movement efforts.'
Eclipse provides a Fast Path to evaluate the Data Quality in your current systems environment and make recommendations for methods and tools to improve and manage high quality data delivery to key business end-users.
In today's atmosphere of heavily scrutinized expenditures, we realized that our Fast Path should be cost contained and its deliverables predictable. Therefore the Fast Path is intense and aggressive, taking only 1-2 weeks on site. Findings are tailored to providing quantifiable ROI for proposed projects. Even more importantly, Eclipse is willing to find that proposed projects are not cost justified. Our customers depend on us for unbiased, disinterested assessments.
During the Data Quality Fast Path, Eclipse experts examine source and target files for data quality issues that may arise at the source, during migration, or during application integration.
Our report also identifies opportunities for increased data reliability, understandability, robustness and usability. The result is a project with defined benefits and result that can be measured.
- Identifies Data Quality Issues
- Delivers a Cost/Benefit Analysis for Data Quality Initiatives
- Fast, expert, predictable
- 'Not to exceed' Pricing
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