E62 - Sveta Freidman - Embedding Data Science in Digital Marketplace Business

Sveta Friedman has an innate passion for connecting people with
data to facilitate better business decisions. She has extensive
experience working in different industries including gambling,
retail, health, digital businesses, and startups. She has been
working in the field of data and analytics for over fifteen
years.


Sveta has worked at Carsales.com as Data Analytics & Science
Director for almost five years. Carsales.com is the number one
online automotive classifieds business in Australia. The company
employs approximately 1200 people across the world and is a
member of the S&P/ASX100.


Sveta was also the Head of Data & Analytics at Envato, the
world's leading marketplace for digital assets, for four years.


She is also a recognized professional in the field. She was
awarded the Top Analytics Leaders of the Year by the Institute of
Analytics Professionals of Australia. Sveta also has been listed
in Global Data Women of the year by CDO journal.


Sveta Freidman started her professional life as a statistician in
Israel. She moved to Melbourne Australia in 2010 and started
working as a Senior Business Analyst at The Royal Victorian Eye
and Ear Hospital. Later, she worked as Head of Data &
Analytics at Envato. We surely have a lot to learn from her
experience and expertise in data science and analytics.


In this episode sponsored by the masterclass run by BrightData
and DDA, Sveta shares with us many crucial aspects of using data
science in running a digital business.


The one principle that she always values the most – creating
a data-driven culture.

Importance of data availability and maturity in creating the
data-driven culture.

How different digital marketplaces are using data
analytics.

The masterful use of a recommendation engine by
Caresales.com

How the recommendation engine relates to embedding and
automating data analytics into the business operations.

How other businesses can also use such recommendation
engines.

The use of internal and external data for building your data
analytics platform.

Stages and steps of creating data maturity for a traditional
business.

How can you approach the task of creating a data analytics
platform from scratch?

The place of innovating new business use cases of technology
in integrating the online and offline worlds.

How to involve all within the organization in the data
journey.



If you are an executive working on creating and embedding a data
analytics platform into your business operations and enhancing
your customer experience, this is the episode you shouldn’t miss.


Lastly, I want to remind you once again that I will be delivering
a masterclass with BrightData on June 28th and 29th on embedding
and automating a revenue optimization engine so that you don’t
have to leave money on the table.


Registration link:
https://www.bright.events/event/0498c969-2144-4d11-8d5a-6588fd0978f0/summary/


DataAnalytics, BusinessAnalytics, eCommerce, DataScience,
DigitalMarketplace, DataMaturity