November 2007 meeting
Date and Time:
| Time zone | Meeting start time |
| Los Angeles (USA Pacific Time) | 08:00 am Fri 9 November 2007 |
| New-York City (USA Eastern Time) | 11:00 am Fri 9 November 2007 |
| London (UK), Dublin (Ireland) | 16:00 Fri 9 November 2007 |
| UTC | 16:00 Fri 9 November 2007 |
| Frankfurt (Western Europe) | 17:00 Fri 9 November 2007 |
| Manila Philippines | 00:00 Sat 10 November 2007 |
| Sydney Australia | 03:00 Sat 10 November 2007 |
| Other time zones (time and date.com) | |
| Meeting duration: 60 minutes | |
The IAIDQ book club is pleased to announce a special program for our next meeting.
“Ask the Expert” Teleconference with Dr Thomas C. Redman — November 9, 2007 , 11:00 am New York City Time
We are pleased to announce that Dr. Thomas C. Redman will be our distinguished guest for the November "Ask the Expert" teleconference for IAIDQ members and their colleagues. The event takes place on Friday November 9th , 11:00am New-York City time.
We will not discuss a book or article, but will have a lively conversation, focused on providing answers to your data quality questions.
The session will run 1 hour beginning at 11am New York time, 4pm London time, midnight Manila time. For different time zones please see Meeting Time in Other Zones at: timeanddate.com.
Phone Numbers to call:
The phone numbers and PIN will be sent to members who have subscribed to join the Book Club.
- If you call from within the USA use the Toll Free US dial-in number
- If you call from other countries via Skype (VOIP) or another carrier which provides no cost access to US toll free numbers, use the Toll Free US dial-in number
- If you call from other countries via other carriers, use the Int'l Access/Caller Paid Dial-In Number
About Dr. Thomas Redman
Dr Thomas C. Redman, co-founder of IAIDQ, started Navesink Consulting Group in 1996 after conceiving and heading the Data Quality Lab at AT&T for several years. Tom has written numerous articles and authored the seminal books on data quality. He is the leading inventor of practical techniques to help organizations improve amidst the explosion of data (and data quality problems) created in the Information Age.
