Opportunity to present Data Governance (DG) to a major client, wow!!!! I jumped at the challenge. Having worked in DG for around 14 years and presented on the topic on many occasions, I was confident I would do a great job!
I created a draft agenda:
- Where are you, what do you want to achieve?
- Objects – What data needs to be managed?
- Responsibility and ownership of data
- Data Governance – Committee, polices, processes
- Data Quality – Measures and Metrics
- Next steps: Key pain points & Identify low hanging fruit, What Bottlenecks, Future data needs
- Outputs – Identify who will take responsibility to manage each step/activity, timescales and monitoring of progress
Through discussion this was distilled down to:
- Objectives & Outcomes
- Introduction to Data Quality
- Overview of Data Governance
- Next steps
Spending a week back and forth between colleagues and the client and rewriting my slide content to get the right angle for the presentation; collating examples to bring DG principles to life and practicing my speech; and speaking to my network to gain an understanding of latest developments in DG and where this particular client was on that path; Rehearsed and rearranged the flow a few time – I have a bit of a superstition that I must read it though four times (bit like wearing one red sock for others J)
The day of the presentation, I was confident, still tweaking the formatting yes, I am a little OCD!!!
I presented to the audience of around 20 people, all of which were at different levels of understanding with DG. They were enthusiastic, interested and asked many questions and provided input along the way – great when you have an engaged audience.
After providing examples of where businesses lose money due to poor quality data and governance sometimes amounts in the millions. Explaining that Data Quality is about the data being “fit for purpose” if you are delivery a product to an address and you do not have an email address or phone number you can still deliver, as delivery is not dependent on the email and phone number being available, therefore the address data is fit for purpose. However if you want to launch an email campaign but only have 20% of customers with email address, your data is “not fit for purpose” and data quality measures need to take place, once you have agreed how many addresses you need as not every account will have an email address.
One successful sales presentation, need to create the proposal for the suggested work now!