The top manufacturer turned to Datasource Consulting to build an environment and solution for data quality improvements. After consulting with company leaders, the team chose to integrate Informatica Data Quality (IDQ) Solution as part of their overall Enterprise Data Management (EDM) strategy.
Top manufacturer strengthens data quality as part of its Enterprise Data Management (EDM) strategy by partnering with Informatica and Datasource.
This American manufacturing company is best known for developing waterproof, breathable fabrics. The company also produces medical devices, cables, and cable assemblies for aerospace, automotive, and energy applications as well as electronic and electrochemical components used in various devices. Today, the company has manufacturing facilities in the United States, Germany, the United Kingdom, Japan, and China and sales offices around the world. They have approximately 11,000 associates in over 45 locations worldwide.
With a recommendation from Informatica, the organization turned to Datasource Consulting to build an environment and solution for data quality improvements. After consulting with company leaders, the team chose to integrate Informatica Data Quality (IDQ) Solution as part of their overall Enterprise Data Management (EDM) strategy. The client selected IDQ because it addressed their data quality challenges, including data validation, data profiling, duplicate detection and resolution, and address validation. It also provided best practices and workflows to support a sustained, scalable data quality program. The Datasource team included an Informatica Data Quality Senior Developer as well as an Engagement Manager and Technical Practice Lead. These specialists collaborated with the manufacturer’s internal IT team and delivered on the data quality requirements.
Today the leading manufacturer has a sophisticated, scalable data quality tools, a new environment, and a tested solution in place that can be optimized and expanded as the organization’s data needs change. As a result of the data quality initiative, the company’s data stewards and analysts spend less time reviewing and cleansing data and can now devote their time to more strategic tasks. Instead, they can focus on data analysis and meeting company objectives. Business analysts and company leaders now have a robust data quality process and solutions that support: data validation, data profiling, detection, and data steward.
The system also has the ability to take actions for data quality improvements. Executives believe the data quality program has greatly improved data integrity across the enterprise. And, as a result the system has significantly enhanced reporting capabilities around critical company metrics. Looking ahead, the manufacturer also plans to expand its data quality initiative at an enterprise level across multiple business units and domains.