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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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Questions?

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Questions?thomas@salestock.id