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