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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
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
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Enterprise Data Warehousing
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Data Warehouse and Decision Support Systems
Best Practices
Data Warehouse and Decision Support Systems
Best Practices
Data Warehouse and Decision Support Systems
The
Industry
Beat
Data Integration using Informatica - Video
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