#27 Dr. Mark Nasila - Chief Analytics Officer

Ep27 Dr. Mark Nasila.jpg

Mark used to be a statistics lecturer at Nelson Mandela University in South Africa. He then joined First National Bank as a quantitative analyst where he climbed through the ranks to Head of Advanced Analytics and beyond. Today he is the Chief Analytics Officer at FNB.

We speak about:

* Predicting what the customer is calling about

* Improving compliance in banking through analytics

* Creating and driving a data strategy across an organisation

* Using analytics to look after customers in better ways

* How to create and measure economic value from data

* How to find meaning in your work

* Understanding your value across the entire value chain

* Creating a culture of collaboration that's not afraid to fail

* Working with tertiary institutions to identify talent

* What to test when interviewing data scientists

* How to structure your team & work with stakeholders

* The importance of data governance

* How to implement and socialise the solutions created by the team for maximum impact

* The importance of mentoring and growing people

* The difference between head of analytics and chief analytical officer

Mark is based in the Johannesburg Area, South Africa

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!

#20 David Greenberg - Senior VP and Head of Data Analytics


David studied applied physics and began his career as a consultant. He’s had his own company where he created a video asset management & workflow software in the 90s!. Then worked in the education/not-for-profit sector and then went into the finance sector as VP of BI & Data Analysis. Today, he is the Senior Vice President and Head of Data, Analytics and Research at BankMobile.

We discuss:

  • the insights into large companies from his early days in consulting

  • why technology provides the “guard rails” for the business

  • why our roles as data scientists is to make sense of the mess

  • what’s missing in today’s analytics education and how to learn what you need

  • what to look for when building a diverse team

  • the importance of creating a narrative in analytics

  • the mindset to maintain during your analysis

  • motivations behind problems with data definitions

  • how data is like a flashlight

  • how analytics professionals help companies to judge performance fairly

  • how to create a data-driven culture in your organisation

  • what to do when companies don’t know their basic metrics

  • what questions to ask when you receive data requests

  • issues in horizontally integrating data among very vertically structured organisations

  • lessons learnt from his tech startup

  • the importance of being honest and kind

  • how to reframe what could be seen as attacks in order to be kinder and more understanding towards others

  • how to hire the best people out there when your organisation can’t pay as well as others

  • tips on navigating corporate politics

  • who should own and be involved in building the data warehouse for the organisation

  • benefits of having a centralised analytics team

  • why, as analytics professionals, we’re entering the world of expectation management

David is based in New London/Norwich, Connecticut Area

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!

#17 Naomi Clarke - Head of Data


Naomi Clarke started as a graduate in the oil business, since then she's worked in multiple industries, and now she is Head of Data in the finance sector.

Naomi has a strong background on business data arch, business data modelling, data governance.  I loved the human-centred perspective that she has taken to her work.

We talk about:

  • the Management Information Systems (MI or MIS) she created in her early days

  • the importance of business data models for analytics

  • the difference between a logical and physical data model and which one is more important

  • how to define the right meaning of the data in your data models

  • disruptions in the financial sector that happened overnight

  • the relationship between deregulation, dematerialisation and digitalisation; and how its affecting industries

  • the tight link between business, data and culture; and how each one affects the others

  • philosophy and data science

  • what is corporate geography

  • why data analytics starts with the business question you’re trying to answer

  • problems when people focus on gadgets or only on their silo; and how to fix it

  • why data analytics is about business & people

  • the importance of data lineage and it’s link to business risk and company workflows

  • the role of data governance in the modern organisation

  • what are semantic layers in data and how they can help

  • tensions and ethics around what we can do with data and what we should do with data

  • how to set priorities on data preparation

  • best uses of data profiling tools

  • how to overcome the problems of data definitions in large businesses

  • what gives you an edge in your interviews

Naomi is based in London, UK

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show! 


Also, catch me at the Chief Data & Analytics Officer Conference in Melbourne on September 3-5, 2018