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Data Integrity and Enterprise Resource Planning Project #LH10-MBI

Data Integrity and Enterprise Resource Planning Project #LH10-MBI. Project Team Principal Investigator Emory W. Zimmers , Jr., PhD Project Managers Gus Gustafson, Dan Mulholland Graduate Assistants Kevin Forsberg, Peter Orlandi. Project Motivation

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Data Integrity and Enterprise Resource Planning Project #LH10-MBI

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  1. Data Integrity and Enterprise Resource Planning Project #LH10-MBI Project Team Principal Investigator Emory W. Zimmers, Jr., PhD Project Managers Gus Gustafson, Dan Mulholland Graduate Assistants Kevin Forsberg, Peter Orlandi • Project Motivation • Prepare for the implementation of a global ERP system • Standardize global processes while incorporating best practices • Identify gaps between current and Enterprise Resource Planning system capabilities • Document and catalogue processes electronically • Project Objectives • Identify and analyze the company’s existing MbisE system to research the accuracy of critical of data fields • Develop a model to auto-verify data accuracy • Create a repeatable approach to define and establish process hierarchy • Project Activities • Data Validation • Review critical data fields and verify accuracy and completeness • Model Building for ERP • Generate a comprehensive Data Dictionary detailing all specific and required data for each master planning record • Process Mapping • Engage BPOs and SMEs to improve process understanding • Map key processes and identify opportunities for improvement Research Methodology • Data Validation • Mapping data validation processes • Created Visio Files depicting flow processes • Developed iterative models to verify the accuracy of information • Determining the value of information • Is the data valid? • What type of processes cause data flaws? • How can data significance be valued? • Determining data relevance • Risk of data obsolescence • Electronically cataloguing documentation and supporting files • Process Mapping & Model Building for ERP • Creating documentation with Visio Mapping • Approval for execution of data validation model from mentor & BPO • Allow management to trace information at various levels of detail • ERP implementation drives a global data and process standardization • Systematic and prioritized process mapping • Launching SharePoint and posting information in an electronic catalogue available globally This project is sponsored (in part) by the National Science Foundation Center for Engineering Logistics and Distribution NSF Award #IIP0434210 Schematic showing processes for data creation Example of existing data handling system

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