What do we really mean with information quality? How is it relevant for your own organization?

I will explain my thinking of how to manage information quality, using my film production as example.

My standard approach is to look for best practices and DAMA is my goto reference for information governance.

Their framework describes six core categories for data quality and it is a good start.

Accuracy
Completeness
Consistency
Timeliness
Validity
Uniqueness

The caveat is that DAMA as a framework is generic and it is not enough for film production.

Hollywood have stringent rules for security after the Sony hack a couple of years ago. Personal information is very sensitive, especially for A-level actors. Sustainably is a must for receiving grants today and must be managed as quality. This is why I need to add more dimensions.

Confidentiality
Availability
Accessibility
Privacy
Sustainability

What i do is combining classic governance with security policies and other important policies to support my business model. Thus, adapting DAMA to the real world.

The next question is what are the most important areas to start with for me?

I would say availability, as film production runs on tight schedules and you must be able to shoot on time. Live broadcast is the prime example,
Confidentiality is really important, information is not allowed to leak.
Privacy would be the third, as we manage sensitive information. Something that makes the implementation of policies even cumbersome.

Say that we have a A-level actor in our production, his or her information would be even more sensitive then other cast.

At some stage in time, information goes from confidential to public, e.g. when you release the film, actors name will be known.

This means that data quality must be context aware, mange life cycle and we need business rules to manage both of them.

Your primary task will be to find out what type of data quality that matters for your business and the rules for them.

Disruptive architecture