Case Studies

• Strategic Management
• Project Planning Management
• People Management
• Knowledge Management

  Contact Us

Customer Address Clean Up
Nike

Role: Project Manager to the Nike Finance and Nike Admin ‘Customer Address Clean Up’ project.

Challenge: Find a cost-effective way to clean up customer addresses. World Headquarters generates a lot of customer mail, and a customer can have many addresses: buyer, billing, shipping, service, and financial, to name a few.

Action: Leveraged USPO address data and applications to standardize addresses, add zip+4, and highlight invalid addresses, duplicates, and other problems. I found the Post Office offers software and tables to validate and standardize addresses. The USPO, and perhaps your consolidator, offers reduced rates if you organize volume mail using Zip+4; so they don’t have to.
Results: Postal savings and reduced returns repaid Admin in two months and greatly facilitated a follow-up project to archive duplicate addresses and further simplify customer management.

Replace Key Customer Reporting
Nike

Role: Project Manager to the Nike Finance ‘Key Customer Tracking’ project.
Challenge: Create a simple user interface to a complex Nike Sales System process.

Action: Matched sales with any retailer purchasing organization by using multi-tiered indexes, product tree structure, and profile wildcards.

Results: Intuitive data management and data mining. Improved the accuracy of sales commissions paid for this project.

Global Credit Check
Nike - Europe Headquarters, Holland

Role: Project Manager to the ‘Nike Global Credit Check’ project from European Headquarters, Holland.

Challenge: Design a simple, dependable, on demand  credit check process.

Action: Developed a ‘credit check’ service to evaluate and return approval, retain history, and report credit status for any retail customer.

Results: One single Nike customer credit management policy. Simplicity and savings in customer relationship management.

Non-Verbal Communication Study
OHSU – Psychology Department

Role: Project Manager and Statistician to the OHSU Psychology Department ‘Non-Verbal Communication Study’.

Challenge: Design, populate, and report a sophisticated event-driven statistical model beginning with just eight channels of lab data.

Action: Retrieved data from lab-built response recorders, accumulated duration to index time, mapped events, added experimental controls, separated response data channels, modeled the experiment, and performed event-response analyses.

Results: Significant results and better understanding of non-verbal communication.

Human Gene Mapping
OHSU – Genetics Department

Role: Project Manager to the ‘Human Gene Mapping Integration’ project.

Challenge: Perform more and better analyses at OHSU Genetics. Decrease data entry time, increase accuracy, integrate data for analysis, and increase the sensitivity of results.

Action: Rewrote the existing human gene mapping processes. Developed pedigree management software, dramatically increased gene analysis sensitivity, integrated pedigree data and analysis into reporting for ease of use.

Results: A new gene location was identified. Published in Human Gene Mapping 4 Volume XIV No. 4, 1978.

Business Survey Management System
Nike

Role: Sponsor to the Nike Program Office ‘Business Survey Management System’ project.

Challenge: Develop and present a service solution benefiting both the company and an outside vendor.

Action: Proposed survey assistance, response management, data retention, and data mining capability. Designed and validated a web-based solution and presented a business plan.

Results: Implemented an internet provider alternative because of its benefits in licensing and data security.

Renal Transplant Donor Selection
OHSU – Renal Transplant

Role: Project Manager and Statistician to the ‘Renal Transplant Donar Selection’ project.

Challenge: Research, design, and implement a more accurate OHSU transplant donor selection process.

Action: Captured donor test results from the tissue typing equipment. Researched and designed a statistical model emphasizing true positive matches. Wrote a report to evaluate and present the tissue matching results.

Results:Automated and enhanced donor matching. Improved lives. Probably saved lives.

For articles on Knowledge Management, click here.
For services in Knowledge Management, click here.
For a free consultation on Knowledge Management, click here.