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In our information-dense age, nothing is more critical than the quality of the information upon which you base your business decisions. Millions of records often need to be extracted, verified, standardized, indexed, consolidated, and loaded into your BI system to provide a reliable reporting, analytic and data services capability. Data Quality Management focuses on the technical, business, and management practices that affect the quality and integrity of business data.
RCG IT provides the tools, talent, and best practices to ensure that a BI and Data Delivery solution and the management decisions it supports are built on a foundation of solid, meaningful data. This foundation includes:
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Data profiling - a technology that evaluates data in source application systems. Data profiling identifies hidden data problems and highlights the necessity for a complete data quality solution.
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Data cleansing - a technology to help standardize values, such as customer names, addresses and business abbreviations. Data cleansing is essential to ensure data integrity and compliance with Sarbanes-Oxley and other regulations.
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Data auditing - a periodic process to establish whether data quality is remaining the same, improving, or degrading over time. Data auditing is an essential process for managing risks associated with incorrect or unusable data.
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Data management and governance - a process for treating data quality proactively rather than reactively. Data management and governance are essential for long-term success with data quality and BI and Data Delivery.
RCG IT can apply Data Quality Management solutions to BI and data warehouse environments, data migrations associated with mergers and acquisitions, or new application implementations, such as CRM, ERP, SCM and financial management, and compliance and risk management associated with data usage and controls.
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