Enterprise Data Quality

Business Driver
Poor data quality costs companies a lot of money every year. Defective data leads to breakdowns in poor business decisions, and inferior customer relationship management. Since data is a core asset of companies and needs to be managed effectively if an organizations are to generate a return from it. To many organizations, providing the infrastructure to maintain high-quality data in house is a requirement so that business driven benefits can be achieved, including:
• Cost savings
• Better decision-making
• Improved customer service
• More streamlined supply chain management

The Challenge
Most organizations that have attempted to tackle data quality have implemented tactical solutions to improve quality within a single application or within a single business process. While this approach may reduce the problem for part of the organization in the short term, such limited initiatives generally fail to achieve long-term data quality improvement on a broad scale.

The Solution
PIMA Systems in collaboration with Informatica, with  its own Data Quality Management Process provides a comprehensive, holistic approach to dealing with data quality issues. This process helps organizations continually improve data quality enterprise-wide