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Data-Driven Product DevelopmentThomas Diong, Chief Product & Data Officer
27nd July 2016
Sale Stock Overview
• Largest women vertical and fashion vertical ecommerce in Indonesia
• Customers are largely in the rural areas• Hybrid model; purchasing & manufacturing through third-
party manufacturers• “Microservices” organization structure
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Sale Stock Overview
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Sale Stock Overview
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Data First Culture
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• Data division as the centre of the company• Tech products are built with elements of machine learning
and AI from day one• Non-technical divisions draw from central intelligence
repository, data layer
Data Divisional Structure
• Business Intelligence• Data Infrastructure Engineering• Data Science & Research
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Basic Infrastructure
Hue
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Business Intelligence Team
• Monthly training of analyst, interning under BI division• Forward deployment of core BI analysts to individual
projects• BI division as requirement gathering for data product
development
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Data Division
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Business Intelligence Data Infrastructure
Data Science & Research
Data Products
• Customer Service Bot• Recommender System• Image Recognition
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Central Data Layer
• Pre-computed scores for immediate consumption by non-technical divisions
• BI Analyst to help understand their needs• Documentation on every pre-computed score a required
reading for every new joiners
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