I just received an email from an information quality tool vendor. It was sent to an email address I had provided to them in my capacity as a Director of the IAIDQ as part of registering for events they had run.
The opening line of the email reads:
Iâ€™m writing to you as a follow-up your recent telephone conversation with an [name of company deleted]Â representative.
Two small problems
- I haven’t had a telephone conversation with any representative from this company regarding any survey or anything else recently. (I did meet one of their Dublin based team for lunch about 6 weeks ago – does that count?)
- The personal data I provided to them was not provided for the purpose of being emailed about surveys. (But at least they have an opt out).
I’m going to take a look at the survey but I bet you the â‚¬250 raffle prize for participants that my responses will be statistically irrelvant.
For a start, the survey is about the importance of the investment in data in IT planning. I’ve never worked in the IT organisation of any business. I have been on the business side interacting with IT as a provider of services to me.
Also, as a Director of the IAIDQ and as someone trying to set up an SME business, I am basically hands on in all aspects of the business and implemenation of systems (I was working at 2am this morning doing a facelift on my company website and working on a web project for the IAIDQ). So, my responses will be misleading from a statistical point of view.
It looks like the company in question:
- Had an email address for me.
- Knew that my former employer was a customer (customer #1 for this particular company’s DQ offering)
- Forgot that I’d told their Dublin team that I’d left
- Had failed to update their information about me.
- Have recorded a contact with me but have recorded it incorrectly.
Should I respond to the survey? Â Will my responses be meaningful or just pointless crap that reduces the quality of the study?
I’m goint to ask a friend of mine to write a guest post here on survey design for market research and the importance of Information Quality.