Break Silos, Unleash Insights: Governed Self-Service Data

In the rapidly evolving world of data analytics, the ability to access and analyze data efficiently and accurately is paramount. While self-serve empowers individuals, lack of governance can lead to misinterpretations. In this session we will explore building highly reliable self-service analytics while maintaining data team agility. Learn how your data team can play a key role in fostering trust and data truth, along with best practices for effective analysis

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Bio

Kabir Paul – Customer Engineer, Data Analytics | Google Cloud | Singapore

Kabir is a Data Analytics specialist with many years of experience designing, building and consulting to customers on data warehouse, big data and machine learning solutions across the APAC region. Prior to joining Google Cloud he worked with startups Hortonworks & Databricks where he was responsible for enabling and guiding customers in the region with their cloud data analytics journey. He has also spent many years in Australia (his hometown) and London where he consulted to customers in various sectors such as banking, energy, government and travel. He is passionate about all things data and tech and loves the diversity of people, cultures and opportunities that SEA offers.

Bio

Pasha Laksamana Putra | Data Science Lead | Zalora | Singapore

Pasha is currently a Data Science Lead in Zalora who currently manages data in Zalora from transformation and up to insight generation via advanced analytics specifically for Product, Marketing and Growth use cases. He has experience in managing a Data Squad with Bukalapak, the first unicorn in Indonesia that successfully IPO in Indonesia stock exchange and OLX, the largest online classifieds in Indonesia. Pasha is currently pursuing a Master in University of Pennsylvania for Computer Science and Information Technology degree. He also graduated from Nanyang Technological University in Singapore