Survey Results & Analysis. Aftermarket Parts Manufacturer (and MEMAMIS Council member)

Transcription

1 Page 1 of 13 Survey Results & Analysis for Aftermarket Parts Manufacturer (and MEMAMIS Council member) Account: Digiton Tuesday, October 10, :02:56 PM Vista Survey System

2 Page 2 of 13 Introduction This report contains a detailed statistical analysis of the results to your survey named Aftermarket Parts Manufacturer (and MEMAMIS Council member). The results analysis includes answers from all respondents who took your survey in the 17 day period from Sunday, September 24, 2006 to Tuesday, October 10, 2006 inclusive. Report Contents This report is divided into four sections: 1. Introduction 2. Results Analysis 3. Questionnaire 4. Notes The Introduction (this section) contains an overview of the report structure. The Results Analysis section contains a summary and statistical analysis of the results to each question in your survey. The Questionnaire section lists all questions in your survey's questionnaire. This is provided as a reference to help you interpret the Results Analysis. The Notes sections contains definitions of key terms and tips on how to interpret your results. Confidence Intervals Wherever possible, results are presented with an indication of the results accuracy. Usually this is presented in the form of a confidence interval. It is important when reviewing survey results to make sure that any action you plan is based only on statistically significant results. Correlation Analysis In preparing the results analysis, the report generator has examined all questions in pairs to see if there are any correlations between answers. Whenever a significant correlation is found, it is noted. This information can be valuable in determining what demographic or experience characteristics tend to drive key measures such as overall satisfaction.

3 Page 3 of 13 Results Analysis Survey name: Aftermarket Parts Manufacturer (and MEMAMIS Council member) Start date: Sunday, September 24, 2006 End date: Tuesday, October 10, 2006 Number of respondents: 39 Filter: Include all respondent's answers. i) There has been a significant amount of activity surrounding the development of standards and improved e-commerce systems the last five years, and progress has been made. However, before a manufacturer can be truly efficient in communicating data, documents and transactions with its entire customer base, it should "get its own house in order" by streamlining the collection, visibility, integration and management of data - especially product data. The following 10-question survey will take about five minutes to complete and will provide MEMA and the MIS Council with background information that will be used to create practical help and resources for suppliers. Results will be made available during the upcoming MIS Council Fall Conference (October 15-17) and along with the results from an Internal Data Management (IDM) focus group activity held during the Fall Conference will be used to produce a white paper on best practices for IDM in the aftermarket industry. Please click on Next to continue with the survey. 1) What types of data your company would like to better manage? (Choose all that apply) Pricing (31) 79.5% Special pricing (deals) (27) 69.2% Technical specifications (21) 53.8% Line drawings (9) 23.1% Images (18) 46.2% Part numbers (17) 43.6% OE applications (20) 51.3% Transaction/sales history (12) 30.8% Customer e-commerce requirements Other (2) 5.1% (23) 59.0% Confidence: +/-15.2%

4 Page 4 of 13 2) If Other, please specify: Answers not displayed. This question is asked if the answer to question 1 is Other. An answer to this question is not required and 2 of 2 respondents chose not to answer. 3) Do you have (or have you planned) an active IDM program to improve the way you collect, integrate and manage product information? Yes (18) 46.2% No (21) 53.8% Confidence: +/-15.2% Answers to this question are correlated with how respondents answered the following questions: Correlation Question 0.32 Q12) Have you documented the actual impact poor data management practices h... 4) Since you answered "Yes" to the previous question list specific goals or desired outcomes to implementing the IDM program: (Choose all that apply) Improved customer relations (15) 83.3% Streamlined internal data handling processes Reduce time to market for product data Increase sales with existing customers (14) 77.8% (12) 66.7% (11) 61.1% Expand customer base (7) 38.9% Enhance value of existing product offerings Improved data, i.e. eliminate redundancies, eliminate missing data (10) 55.6% (17) 94.4% Overall cost reduction (13) 72.2% Eliminate support of disparate systems Provide improved management (11) 61.1%

5 Page 5 of 13 capabilities (10) 55.6% Simplify catalog production (11) 61.1% Simplify compliance with industry standards Other (0) 0.0% Total (18) (16) 88.9% Confidence: +/-21.6% This question is asked if the answer to question 3 is Yes. 5) If Other, please specify: Answers not displayed. This question is asked if the answer to question 4 is Other. An answer to this question is not required and 0 of 0 respondents chose not to answer. 6) What area is driving the initiative? (Choose all that apply) IT/IS (8) 44.4% Top management (8) 44.4% Marketing (11) 61.1% Sales (6) 33.3% Customer service (3) 16.7% Quality control (2) 11.1% Other (2) 11.1% Total (18) Confidence: +/-21.6% This question is asked if the answer to question 3 is Yes. 7) If Other, please specify: Answers not displayed. This question is asked if the answer to question 6 is Other. An answer to this question is not required and 1 of 2 respondents chose not to answer. 8) List the challenges you face in optimizing the management of data: (Choose all that apply)

6 Page 6 of 13 Lack of resources (29) 74.4% Vast number of data formats, sources, owners (24) 61.5% Lack of executive support or buy-in (10) 25.6% Day-to-day requirements take priority (25) 64.1% No business case or justification (6) 15.4% Other (1) 2.6% Confidence: +/-14.9% 9) If Other, please specify: Answers not displayed. This question is asked if the answer to question 8 is Other. An answer to this question is not required and 0 of 1 respondents chose not to answer. 10) Indicate the business areas most impacted by good or poor data management within your company: Sales (28) 71.8% Internal costs (22) 56.4% Customer relationships (30) 76.9% Delays in getting data to customers Delays in getting product to customers Other (2) 5.1% (26) 66.7% (17) 43.6% Confidence: +/-15.1% 11) If Other, please specify: Answers not displayed. This question is asked if the answer to question 10 is Other. An answer to this question is not required and 0 of 2 respondents chose not to answer.

7 Page 7 of 13 12) Have you documented the actual impact poor data management practices have on your business? Yes (6) 15.4% No (33) 84.6% Confidence: +/-11.5% Answers to this question are correlated with how respondents answered the following questions: Correlation Question 0.32 Q3) Do you have (or have you planned) an active IDM program to improve the... 13) Which areas (departments, disciplines) are affected by data management or have input to processes affecting data? Sales (33) 84.6% Marketing (29) 74.4% Catalog (32) 82.1% Customer service (30) 76.9% Production planning (24) 61.5% Manufacturing (21) 53.8% IT (28) 71.8% Management (22) 56.4% Transportation/logistics (13) 33.3% Other (2) 5.1% Confidence: +/-15.2% 14) If Other, please specify: Answers not displayed. This question is asked if the answer to question 13 is Other. An answer to this question is not required and 1 of 2 respondents chose not to answer. 15) Does sales effectively communicate customer e-commerce requirements to all affected departments?

8 Page 8 of 13 Yes (12) 30.8% No (27) 69.2% Confidence: +/-14.2% 16) Does your company have "dashboards" in place that enable executives to view data collection and management status in real time? Yes (6) 15.4% No (33) 84.6% Confidence: +/-11.5% ii) Thank you for your participation! For more information on the MIS Council or the MIS Council Fall Conference, please visit

9 Page 9 of 13 Questionnaire There has been a significant amount of activity surrounding the development of standards and improved e-commerce systems the last five years, and progress has been made. However, before a manufacturer can be truly efficient in communicating data, documents and transactions with its entire customer base, it should "get its own house in order" by streamlining the collection, visibility, integration and management of data - especially product data. The following 10-question survey will take about five minutes to complete and will provide MEMA and the MIS Council with background information that will be used to create practical help and resources for suppliers. Results will be made available during the upcoming MIS Council Fall Conference (October 15-17) and along with the results from an Internal Data Management (IDM) focus group activity held during the Fall Conference will be used to produce a white paper on best practices for IDM in the aftermarket industry. Please click on Next to continue with the survey. 1) What types of data your company would like to better manage? (Choose all that apply) Pricing Special pricing (deals) Technical specifications Line drawings Images Part numbers OE applications Transaction/sales history Customer e-commerce requirements Other If Other, please specify: 3) Do you have (or have you planned) an active IDM program to improve the way you collect, integrate and manage product information? Yes No 4) Since you answered "Yes" to the previous question list specific goals or desired outcomes to implementing the IDM program: (Choose all that apply) Improved customer relations Streamlined internal data handling processes Reduce time to market for product data Increase sales with existing customers

10 Page 10 of 13 Expand customer base Enhance value of existing product offerings Improved data, i.e. eliminate redundancies, eliminate missing data Overall cost reduction Eliminate support of disparate systems Provide improved management capabilities Simplify catalog production Simplify compliance with industry standards Other If Other, please specify: 6) What area is driving the initiative? (Choose all that apply) IT/IS Top management Marketing Sales Customer service Quality control Other If Other, please specify: 8) List the challenges you face in optimizing the management of data: (Choose all that apply) Lack of resources Vast number of data formats, sources, owners Lack of executive support or buy-in Day-to-day requirements take priority No business case or justification Other If Other, please specify: 10) Indicate the business areas most impacted by good or poor data management within your company: Sales Internal costs Customer relationships Delays in getting data to customers Delays in getting product to customers Other If Other, please specify: 12) Have you documented the actual impact poor data management practices have on your business? Yes

11 Page 11 of 13 No 13) Which areas (departments, disciplines) are affected by data management or have input to processes affecting data? Sales Marketing Catalog Customer service Production planning Manufacturing IT Management Transportation/logistics Other If Other, please specify: 15) Does sales effectively communicate customer e-commerce requirements to all affected departments? Yes No 16) Does your company have "dashboards" in place that enable executives to view data collection and management status in real time? Yes No Thank you for your participation! For more information on the MIS Council or the MIS Council Fall Conference, please visit

12 Page 12 of 13 Notes Bar Graph Confidence Intervals: The bar graphs presented in the Results Analysis section include 95% confidence intervals to illustrate the degree of precision available in your results. For example, in the following graph 54.2% (160/295) of the respondents indicated they will vote Democrat vs. 45.8% (135/295) Republican. However, because the survey is based on the results of only 295 respondents, the actual percent of people who will vote Democrat could be somewhat higher or lower than 54.2%. Confidence intervals tell you how much higher or lower the percent could be. The I-bar show and the tip of each bar illustrates the spread between the lowest and highest value you are likely to see if you were to survey the entire population. In the example above, you can be 95% certain that the actual percent of people who will vote Democrat will be between 48% and 60%. Furthermore, somewhere between 40% and 52% of people will vote Republican. As you increase the number of respondents the range of uncertainty shrinks. Confidence: Each bar graph group is followed by the text "Confidence:" and a percentage. This number is the largest confidence interval found on any of the bars in the group and can be used as a summary measure of precision. The more precise, non-symmetrical confidence intervals are illustrated separately on each bar. Average Score: Some bar graph groups are followed by the text "Average Score:" and a number that represents the weighted average of all options chosen by the respondents. For example, if you asked respondents to rate their satisfaction on a scale including Very satisfied, Satisfied, Neutral, Dissatisfied, and Very dissatisfied and half responded Very satisfied and half responded Satisfied, the average score would be 1.5--half chose the first option (score=1) and half chose the second option (score=2), so the average score is 1.5. Correlation: The answers to two questions are correlated when they tend to move together. For example, if you ask respondents to rate their overall satisfaction with your company and also ask if they are likely to purchase from your company again, the answers to these questions will probably show a strong correlation. That is, when satisfaction is high, the likelihood of repeat purchase is high. This is a positive correlation. Some question pairs have negative correlation. For example, the time a person spends on hold when calling for support usually has a negative correlation with overall satisfaction. Correlation is presented as a number from -1 to 1 where -1 is perfect negative correlation, 0 is no correlation, and 1 is perfect positive correlation.

13 Page 13 of 13 When a statistically significant correlation between the answers of any two questions is found the report will include a note highlighting the correlation. This information can be used to gain insight into what factors drive key measures such as overall satisfaction. Copyright 2005, Vanguard Software Corporation. All rights reserved.