Technology Recommendation

1
Technology Recommendation
Quality Control Testing

• Eric Gatabaki
• Quynh Chi Nguyen
• Kenny Santoso
• Danielle Wetmiller

2
Agenda

• Statistical Analysis
• Need for Statistical Analysis
• Success Stories
• Benefits to petPRO and other FAGs
• The Two Examples SAS and SPSS
• Evaluation of the Technologies
• Financial Comparison
• Bottom line and Recommendations

3
Statistical Analysis

• petPRO performs many tests and creates many
  reports
• Testing in both in QC/T and RD, and reporting in
  HR/Training
• Required to perform statistical analyses and
  prepare reports
• A software would speed up these processes
• Reducing time between tests and results
• Reducing reporting time to management
• Improves data maintenance and accelerates
  decision making

4
The Need for Statistical Analysis

• SAP Product Life Cycle Module
• Isnt enough
• Doesnt provide an analysis function
• Simply lays out quality rules and processes
• SAP is not customizable
• Will not perform the specific functions that we
  need

5
Success Stories

• Kimberly-Clark
• Second largest household and personal care 
• product company in the U.S.
• Wanted more accurate and meaningful information
  about customers and product profitability
• Implemented a Statistical Analysis software into
  SAP
• RESULT
• A powerful performance management solution
• Provides product profitability and customer
  information
• Transmits across its supply chain

6
Success Stories

• Yamaha Motors
• Needed a software to design and use
  questionnaires offline
• Implemented a Statistical Analysis software into
  SAP
• RESULT
• Saves time and reduces costs
• Product development teams can conduct focus
  groups with more specific information

7
The Two Technologies

• Base SAS
• Integrates data across environments
• Reads, formats and analyzes any data
• Makes programming fast and easy
• Simplifies reporting
• Maximizes use of all computing resources.
• SAS/STAT
• Analysis of variance
• Regression
• Categorical data analysis
• Multivariate analysis

8
The Two Technologies

• 2. SPSS
• Analytical process-planning, data collecting,
  data access, data management and preparation,
  data analysis, reporting, and deployment
• Generates decision-making information quickly
• Helps users understand and effectively present
  results in high-quality tabular and graphical
  outputs
• Shares results with others using a variety of
  reporting methods

9
Evaluation
10
Evaluation
11
Financial Comparison

• SAS is slightly more expensive than SPSS

12
Bottom Line and Recommendation

• SAS scores slightly better under Functional and
  User Interface Requirements
• SAS is more customizable and is more user
  friendly
• SAS success story is more relevant to petPRO
• We recommend SAS because of its higher ratings
  and is easier to use. This will
• Reduce training and implementation time
• Reduce costs associated with the introduction of
  the new software
• Provide a more useful analysis tools for our type
  of testing