Data Engineering -- Its What's Inside That Counts Ensuring high data quality is a large problem, to be solved. Businesses are realizing that good data quality has significant business potential on its own. Data that is accurate enables stronger business performance and reduces costs in CRM, data warehousing, ERP, supply chain, and other enterprise systems. Todays enterprise sees the larger data quality picture of more accurate data improving such processes as asset management and risk assessment. Total Data Quality provides the ability to transform raw, chaotic data into reliable, usable information-wherever and however data is captured, collected, stored, and manipulated across the extended enterprise. 1st Approach helps you rapidly initiate an enterprise-wide data quality practice by means of a proven data quality methodology.  Our methodology, provides the data quality processes that create an end-to-end solution for greater data accuracy, relevancy and reliability in diverse systems across the organization.   Our quality data professional services include: Data Assessment -- Total Data Quality begins with assessment. More than data profiling, our methodology is proactive deep data assessment that provides critical insight into the data you have, the data you don't, and the fitness of your data to support integration and business uses. Missing data, misfielded content, and misaligned data relationships are just three of the many data conditions that our methodology exposes. Data Standardization and Validation -- Wherever and however your organization uses data, First Approach offers a guideline for confidently implementing, integrating, and expanding data quality across the enterprise. Our methodology gives you the tools and technique to bring data quality up to your organizational standard, any time data is captured, collected, stored, or manipulated across the enterprise Data Conversion & Integration -- A well planned, structured and auditable conversion & integration strategy is essential to ensure goals are satisfied without jeopardizing the quality of the information.  The First Approach conversion methodology provides complete data understanding prior to conversion and migration and ensures integrated data has the highest possible level of integrity and reliability.  Our methodology reduces integration risks with the proactive assessment of diverse data sources. Eliminating assumptions based on potentially erroneous metadata and documentation, First Approach analyzes the entire data set to reveal critical data conditions, such as completeness, duplication, consistency, and relationships. Data Warehousing and Mining -- First Approach transforms raw data into usable, valuable information before it is loaded into your data warehousing and mining applications. Data Configuration Management -- First Approach helps you build business acumen from the ground up through data cleansing, linking, and enrichment. Our services include developing the policies, procedures, and standards neccesary for maintaining data as a valuable corporate asset.