1. Is your organisation currently involved in any generalisation projects?

Yes, for more than 6 months
Yes, but only at testing stage
Yes, but only at planning stage
Currently under consideration
No, not thought about it

2. What are the business drivers for generalising your data?

Derive data at multiple scales, reduce number of data suppliers
Improve look and feel of data
Improve map rendering speeds
Simplify data and reduce clutter

Other. Please explain:

3. How would the ability to automatically generalise your data or being able to purchase an already generalised data product help your organisation?

Sell more services and increase revenue, Increase profitability by reducing the number of data suppliers
Save time and money by limiting manual checking and processing
Meet customer demand by delivering products at multiple scales
Avoid customer churn by enhancing end user experience

Other. Please explain:

4. What are your target scales, i.e. what scales do you want to generalise to and from?

5. Are there specific products derived from using data at different scales?
If so, please provide a list of those products and at which scale produced.

Product 1:

Product 2:

Product 3:

6. What types of objects do you want to generalise?

7. Please highlight the types of generalisation you use or want to use?

8. What publicly available algorithms do you currently use?

Others. Please list name and source:

9a. How much time do you spend manually generalising, checking or editing your data?

I don't spend any time manually generalising, checking or editing, my generalisation is 100% automatic
I spend some time manually checking or correcting the data but I don't do any manual generalisation
I need to do some generalisation manually, I also manually check and correct the data
I do most of my generalisation manually
I do all of my generalisation manually

9b. If you use automatic generalisation, how much time do you spend subsequently checking or editing your data?

I check the entire dataset manually
I check reported problems or areas of complexity in some detail
I do checking or editing based on the reported problems, but nothing extra
I do some basic checking (e.g. a few sample areas) but not the entire dataset
I don't do any manual checking or editing, I rely on the automatic generalisation

10. Do you also have a requirement for label generation and/or placement?

Yes
Label placement only
No

11. Generalisation can hugely support data compression and reduce the size of the data just by removing information which is deemed to not be relevant before the compression occurs. Have you considered generalisation and compression as an approach?

Yes
No
Need more information

12. Would your organisation consider paying to generalise your data?

Yes
No
Need more information

13. Would your organisation consider buying data that has already been generalised?

Yes
No
Need more information

14. If you are NOT currently using a generalisation solution, what are your reasons?

no immediate need
too expensive
too time consuming

Other. Please list explain: