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We’re pleased to announce our next DAMA Rocky Mountain Chapter (RMC) meeting on October 29th. Since we’re close to Halloween, we have a costume theme & exciting topics on “Data Masking” & “Data Masquerading” with industry experts Len Silverston & Lowell Fryman.

So grab a costume (optional, but encouraged), and join us from some data fun & games at Dave & Buster's in South Denver.

Lowell Fryman - “Data Masking: Hackers, Thieves and Regulators, oh my.”

Len Silverston - "Data Masquerading"

This event is free of charge to everyone (members and non-members). We are offering free membership this year to anyone registering for this event. We encourage you to bring friends & colleagues to learn more about "Data Masking" & "Data Masqerading".

Thanks to our sponsor CA Technologies for supporting this event.

2:00pm to 2:15 pm: President’s Welcome

2:15pm to 2:40 pm: Candidate speeches for the officer elections, discussion of position descriptions, etc.

2:45pm to 3:45pm: Lowell Fryman “Data Masking: Hackers, Thieves and Regulators, oh my.”

Abstract: We thought Thriller was scary, but now there are regulators ready to put us in jail. How can we mask our data to help protect it? Today we have threats from both internal and external forces. It is no longer just a public embarrassment if our data is breached. Regulators are passing laws that will have significant fines for firms that have personal information losses. The main reason for applying data masking to a data column is to protect data that is classified as personal identifiable data (PII) or personal sensitive data. However, production systems hat data may need to remain usable for the purposes of undertaking development and valid text cases. It is common practice to take data from production to fill the data components required for non-production environments. The concern from corporate governance perspective is that the personnel conducting work in these non-production environments are not always security cleared and may even be off-shore vendor personnel who do not recognize the need to secure the data.

This seminar will discuss various data masking software and techniques such as, Substitution, Shuffling, Number and data variance, Encryption, Nulling out, and Masking out

3:50 to 4:50: Len Silverston, “Data Masquerading”

As Halloween approaches, time for a fun and informative presentation!

As data management professionals, are we sometimes wearing masks and if so, what are these masks and when should we leave them on or take them off?
For example, I have asked many organizations over the years the reason for failed data management efforts and the number one reason that I have heard is ‘politics’. Do we sometimes not say exactly what we perceive is going on and ‘mask’ our communications? How can we navigate politics effectively?

In enterprise wide data management efforts, are people ‘masking’ their underlying motivations? For example, have you heard comments such as, ‘We fully support enterprise wide data integration as long as you don’t affect my budget, timeline or resources in any way!” How can find out people’s real motivations and address them effectively?
Have you ever been involved in enterprise wide data efforts where there are conflicts, or reasons to not trust the environment completely, and just ‘masked’ your thoughts and feelings?

This fun, provocative, and informing presentation will provide useful tools for:
- Unmasking political situations to get to effective outcomes
- Unmasking to determine the real motivations of people, providing useful motivational models
- Unmasking to effectively deal with and manage conflict, providing powerful conflict management models
Come learn, have fun, and feel free to optionally wear a mask if you like (the presenter will be) Len Silverston is a best-selling author, consultant, and a fun and top rated speaker in the field of data modeling, data governance, as well as human behavior in the data management industry, where he has pioneered new approaches to effectively tackle enterprise data management. With over 30 years of experience as a data management consultant helping organizations world-wide, he is well known for his work on "Universal Data Models", that are described in his The Data Model Resource Book series (Volumes 1, 2, and 3), (Volume 1 was rated #12 on the Computer Literacy Best Seller List) and these books have been translated into multiple languages. He is the winner of the DAMA (Data Administration Management Association) International Professional Achievement Award for 2004 and the DAMA International Community Award for 2006. He has received the highest speaker ratings at many international conferences and is dedicated to being of the greatest service to his audiences.

4:50 to 5:00pm: Door prizes, closeout remarks, etc.