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Miriam Vizvary

Miriam Vizvary, Chief Data and Analytics Officer, The AA

Describe your career to date

 

I started out as a Data Analyst for a software vendor, where I learnt ETL development in my first job and continued on that path for about ten years. Most of my early years were spent in The City working for commercial insurance companies, only lately have I broken out to different areas like media, utilities, and the automotive industry. Following my coding years, I did project and programme management, focusing on data warehousing projects before I decided to focus more on leadership roles. I spent my entire career in data and have seen data grow from not-even-recognised to the importance of where it is today in every company. I love thinking about the art of the possible using data science and machine learning and I am very excited about future of data. 

Data literacy is a key enabler of the value and impact from data. How are you approaching this within your organisation? 

 

Some areas within the organisation are quite mature, whereas others are lagging behind. I think the biggest improvement I have seen to date is that no one questions the importance of data anymore. Everyone recognises that data is important, however some areas of the business have not yet adapted to using data for decision making. Equally, there are areas within the AA that still rely on their daily PDF reports with no ability or appetite to self-serve. One of the biggest challenges at our organisation is to explain why data quality issues are not easy or cheap to resolve and why we cannot always have timely data. Even if we know what the issues are, to implement changes in our convoluted legacy data warehouses is more costly than we would like it to be. Our approach to increasing data literacy of the whole organisation is two-fold: 

  1. We created an intranet page for all things data where everything is at the users’ fingertips. 

  1. We are targeting individuals and teams within the business to work closely with them where we feel they will hugely benefit from data skills. 

We have made considerable progress within the first year or our three-year plan, decommissioning over 700 reports and really pushing on self-serve dashboards. 

What stage has your organisation reached on its data maturity journey?       

 

Our maturity varies by discipline. We have spent considerable effort and investment recently in tools and architecture, so we are much more mature in those data disciplines than analytics or visualisation. We are currently focusing on self-serve enablement using PowerBI and even if the data team is getting more mature, it does not mean the business community is too. Our focus is both on our own people and their skills and our data consumers. We run workshops and training sessions and try and reach as far and wide as we can. 

 
Our maturity within data engineering is also not the best, mostly because we have had a large number of consultants and did not invest in upskilling our people. We are rectifying this now with special focus on training our own teams and reducing third parties all around. 

 
Overall the business community is fairly mature, on a scale of 1-10 where 10 is highest, I would rate our user base as a 6.5 or 7. We have pockets of very data-hungry and skilled people, for them we focus on accessibility of data using tools like python and SQL. For our lesser skilled users we are focusing on giving the PowerBI dashboards where they can slide and dice data. We run apprenticeship programmes, support self-training via Udemy, Coursera, and LinkedIn learning, and run internal training sessions not just for data skills but also strategy, finance, and people skills as they all contribute to a more mature organisation. 

Miriam Vizvary
Miriam Vizvary
has been included in:
  • 100 Brands 2020 (EMEA)
  • 100 Brands 2022 (EMEA)
  • 100 Brands 2023 (EMEA)
  • 100 Brands 2024 (EMEA)

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