Ching Cooper Email & Phone Number

I am deeply involved in supporting the data to information process. As an analyst, I work with business users to define their project requirements and execute the technical specifications that will meet their expectations for availability and usability.As an architect I help to analyze and understand the end-to-end data flow, beginning with source data and reaching all the way to BI users. I unravel the complexities of sources to define data integration and transformation requirements, and to develop logical designs that are well matched with business information needs.Information Delivery – Develop new ways to deliver information that is more reliable, better integrated, and timelier than information currently available.Business User Knowledge – Trusted by business users to understand their processes, problems, and expectations for using information. I openly encourage learning and discovery so the feedback provides a better product.Data Integration & Cleansing – Support data migration processes to continuously improve data quality and create relevant information that can be used by the business.Business Impact – Provide access to information in forms that readily adapt to multiple and changing user-determined needs and applications.I enjoy analyzing just about everything, whether it’s project plans, data, data architecture, databases, ETL design, etc….. I tend to look at everything holistically and not just at the individual pieces of a project. My inquisitive nature makes me an ideal choice to bridge “business to tech,” and turn that into a plan and a design.As an open-minded and flexible thinker, I customize my approach to fit unique circumstances, and to get the most efficient results or the greatest value out of what is available. I like being challenged and being “kept on my toes.”Specialties: Birst, Oracle BI Applications, Informatica, OBIEE, Oracle E-Business, Salesforce.com, DAC, Discoverer, Business Objects, Datastage, DTS, PL/SQL

Listed skills include Business Intelligence, Data Warehousing, Etl, Databases, and 35 others.

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  Purdue University