Data Products and Datamesh: Navigating the World of Data Management
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Description
Overview In this podcast, we will explore the world of data management with Barkha Saxena who is the Chief Data Officer at Poshmark. She shares two distinct topics - data products and datamesh. In the first part of the podcast, we will discuss data products, including how they are defined, the types of data products built at Poshmark, and whether one needs data product owners to build data products. We will also explore how organizations can develop a data product mindset. In the second part of the podcast, we will delve into datamesh, including the differences between data fabric and datamesh, and advice for Chief Data Officers (CDOs) looking to transition to a datamesh. We will also discuss what skills would be valuable for someone starting their career in data management today. Join us as we explore these two important topics in the world of data management and help you navigate the ever-evolving landscape of data. About Barkha Saxena Business and Product leader with broad and deep data and AI expertise. Experience in taking an idea to all the way to building a business unit through the stages of innovation, strategy, product development, business development and sales. Experience working with large scale data science and ML implementations for Social Ecommerce, Advertising, Financial Services, Retail, and Telecom industries • Seasoned executive with experience in building teams from ground up and driving business initiatives.  • 20 years of experience in analytics, data science and machine learning. Business function expertise: product, marketing and operations • Data: Deep expertise in consumer digital behavior data and traditional marketing, acquisition, product interaction, risk and customer management data Social Handles LinkedIn: https://www.linkedin.com/in/barkhasaxena/  Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support
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