In order to effectively roll out policies and procedures you may be brainstorming, and then formalising, a Data Quality Roadmap.
What is a Data Quality Roadmap?
It allows you to combine your short-term and long-term goals.
It's a framework for progress.
It helps you to co-ordinate people, process and technology, and enables you to communicate where you are, and where you're heading, in a digestible and measurable way.
"Those who are unaware of history are destined to repeat it"
With this quote in mind, I would propose that the first step on any Data Quality Roadmap would be to understand what DQ improvement/management initiatives have previously been undertaken within your organisation.
- Who was responsible for previous initiatives?
- What processes & procedures have previously been implemented?
- Where did they succeed or fail?
- When did previous initiatives take place?
- Why did they succeed or fail?
- How were they received by the business?
Using the information gathered from our historical analysis of previous DQ initiatives, we can attempt to get to the root cause of why it didn't work. We can work with the business, gather their opinions, and move forward to creating a solution that does work. A solution which increases business confidence and allows us to achieve our strategic goals.