About MeFounder of Data Driven Asia Founder of Samudera Resources IndonesiaCMO EVOTEKEx Senior Data Scientist MCC ( US Gov State Agency )Ex Data Architect UNICEF Innovation LabEx Data Analyst in World Bank

Education :Electronics & Instrumentation Engineer, UGMInnovation & Entrepreneurship, LPIK ITB

• Data, Data Science & Big Data• Average Online Customer Spending on eCommerce ( Indonesia, India, US )• Measuring The Indonesia eCommerce market value• Mapping the Compettitors Competitiveness Values• Developing Our Competitiveness Values

Our Discussion Theme :

D ATA?

(1) Data is distinct pieces of information, usually formatted in a special way

Data can exist in a variety of forms -- as numbers or text on pieces of paper, as bits and bytes stored in electronic memory, or as facts stored in a person's mind.

4Vof

BigData

Hadoop

Map Reduce in a Nutshell

Machine learning in a nutshell

In the End of The day..Big Data need to produce :• Descriptive

Analytics• Predictive

Analytics• Decision

Analytics

Average Spending on eCommerceUS Income Percapita = 50662 USDUS Spending on eCommerce = 2723 USD 5,37% 2014

2018US Income Percapita = 53220 USDUS Spending on eCommerce = 3556 USD 6,68% 2014India Income Percapita = 1698 USDIndia Spending on eCommerce = 247 USD 14,54 %

2020India Income Percapita = 2402 USDIndia Spending on eCommerce = 464 USD 19,31 % 2014Indonesia Income Percapita = 3703 USDIndonesia Spending on eCommerce = 444 USD 12 % 2020

Indonesia Income Percapita = 4311 USDIndonesia Spending on eCommerce = 800 USD 18,55 %

Source :statista.com

Measuring The Indonesia eCommerce market value

$ 5,64 B

$ 14,47 B

Mapping the Compettitors Competitiveness ValuesB2C

Mapping the Compettitors Competitiveness ValuesLazada Visitor Interest

Zalora Visitor Interest

Mapping the Compettitors Competitiveness Values

Mapping the Compettitors Competitiveness ValuesB2C/C2C

Mapping the Compettitors Competitiveness ValuesJakMall Visitor Interest

Tokopedia Visitor Interest

Mapping the Compettitors Competitiveness Values

Mapping the Compettitors Competitiveness ValuesFashion eCommerce

Mapping the Compettitors Competitiveness Values

Let Talk Advertising in NumbersIndonesia

Internet User : 106 MillionSmartphone Penetration : 66, 2 Million

eCommerce Advertising Spending In 2015 : Rp 2.26 trillion In 2016 ( Estimated 50% YoY ) : Rp 3,39 Trilion

2016

Return On Ad Spend7.04 Trilion : 3,39 Trilion

2,07= Rp 5,05 Trilion =

Whose Money need to be burn in 2017?

Key Challenges Points From Previous Slide

• Spending advertising to increase visitors != Automated Increasing Visitor Engagement

• ~ $444 - $600 Customer spending budget on eCommerce• Increasing Pages/visit & Visit Duration without Increasing Advertising

Budget• Focus on one product cluster or multi product cluster ?

Developing Our Competitiveness Values

Responsive Website Design

Complete Product Type & Dynamic Pricing

System

Predictive Web Search

Engine

Complete Payment

Gateway Options

Responsive Customer Services Deep

Customer Profiling Engine

eCommerce Customer Data Dimensions

Customer

• Products• Visit duration

• Price

• Gender• Ages

• Location

• Transaction Data• Frequency

• Email• Phone Number

Customer Social Network Profiling

Recomendation Approach

• Content-based Approach• Collaborative Filtering Approach• User-based Collaboration Filter • Item-based Collaboration Filter

Recomendation Engine Architecture

Based on Context & Love compare prices = Machine Learning & AI

Next Meetup• How to mining data in millions row of distributed unstructured &

structured data ?• What is the best algorithm to :- Classification - Clustering - Regression - Dimentionaly data reduction• Spark vs Mahout ? • How to create automated content product recomendation based on

customer or visitor behaviour ?

Questions ?

Data Sources• US Spending on eCommerce :

https://www.statista.com/statistics/251926/b2c-e-commerce-sales-per-digital-buyer-in-the-united-states/• US Percapita Income Trends :http://www.tradingeconomics.com/forecast/gdp-per-capita-ppp• UK eCommerce Spending average :http://www.asendia.com/en/blog/united-kingdom-b2c-e-commerce-report-2016/• Europe eCommerce Spending average :http://ecommercenews.eu/the-average-online-spending-in-europe/• UK Percapita Income Trends :http://www.tradingeconomics.com/united-kingdom/gdp-per-capita• India eCommerce Spending Average :https://www.statista.com/statistics/255336/average-b2c-e-commerce-sales-per-digital-buyer-in-india/• India Percapita Income Trends :https://www.statista.com/statistics/263776/gross-domestic-product-gdp-per-capita-in-india/• Indonesia Percapita Income Trends :http://www.tradingeconomics.com/indonesia/gdp-per-capitahttp://www.tradingeconomics.com/indonesia/gdp-per-capita/forecast

• Indonesia Smartphone User Trends http://www.indonesia-investments.com/id/news/todays-headlines/indonesia-has-100-million-internet-users-internet-penetration-at-40/item6827• Indonesia eCommerce Advertising Spendinghttp://jakartaglobe.beritasatu.com/business/nielsen-e-commerce-leads-growth-ad-spending/http://www.shopnielsen.com/reports/global-e-commerce-the-new-retail-report-q3-2014-indonesia-data• India Internet User http://www.internetlivestats.com/internet-users/india/• India eCommerce Advertising Spending http://cashdealkart.com/blog/e-commerce/much-e-commerce-players-spending-marketing/• India Smartphone Users Trendhttps://www.statista.com/statistics/467163/forecast-of-smartphone-users-in-india/• Recomendation Engine Architecture https://www.mapr.com/blog/real-time-credit-card-fraud-detection-apache-spark-and-event-streaming

Data Sources