Why
Measurable.ai?
TRANSACTIONAL EMAILS from millions of users
SKU LEVEL High Definition Data
RARE COVERAGE Over 10 Emerging markets
What
do we cover?
TMT:IQ
TME
NFLX
YY
MOMO
SPOT
MTCH
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TRAVEL
MAR
HTHT
QTRP
UBER
LYFT
BKNG
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E-COMMERCE
EBAY
APPL
BABA
HTHT
JD
PDD
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Who
are our target users?
Financial Institutions
Corporates
Researchers
Media
Data Report
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Data Insights
#Company Blog
Jan 27, 2021
[Blog] Quantitative researcher Damien Passemier joins Measurable AI as Chief Data Scientist!
After obtaining his PhD in Statistics in France, Damien got a 2 years postdoctoral position at the Hong Kong University of Science and Technology. During his research years, he published several papers on the topic of the Random Matrix theory. After that, he worked as a Data Scientist in several companies, including a horse racing betting syndicate and a hedge fund. Damien now joins Measurable’s team as the Chief Data Scientist.
Let’s hear his story!
1. Tell us about your story with Math
Ever since I can remember, I have always had a passion for Mathematics. Despite being a small country, France has a significant amount of famous matheßmaticians (Descartes, Legendre, Fourrier, Cauchy to name a few), so it seems that I was in the right place! So after high school, I joined the University to study Mathematics. There are a lot of different fields, and I chose to specialize in Probability and Statistics because it’s one of the fields in which you find the most direct applications in “real” life.
What I like in Mathematics is that it is a matter of rigor and systematic reasoning: you prove a theorem using only certain assumptions (axioms), and thus a theorem is always correct. A mathematical statement is either right or wrong, there is no middle ground.
2. Any advice for people who want to start a career in data science?
I think it’s important to have some background in Math: it seems easy to just call a module in your favorite machine learning library, but you should be able to understand the intuition, assumptions, and how it is working, in order to apply the correct algorithm and get good results. Another important thing is to practice your coding skills: when you analyze data, you write code all the time, and it’s essential to have efficient and organized code. The best thing to do is to practice: work and make predictions on real data.
3. Please tell us about a most impressive thing you have built with data
When I was working on horse racing betting, I developed a method to make predictions on quartet bets (4 first horses in correct order). The difficulty is that you only have the historical data on the winning combination, but you need all combinations. So I found a way to estimate the missing data and make accurate predictions.
4. Your favorite French Food!
Don’t get me started on this topic! Generally speaking the breads, pastries and desserts you find at the bakery and cake shop. How can I not mention the cheeses, with all the winter dishes based on it: raclette, tartiflette, fondue Savoyarde…Also I really like the galettes (buckwheat pancakes) from Brittany, fondue Bourguignonne, steak tartare…
ABOUT US
Measurable AI provides actionable consumer insights based on transactional data for the emerging markets.
Data inquiries: Email [email protected]
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#E-Commerce
Nov 09, 2020
Malaysia: Tracking Online Consumer Spending amid Covid-19
While the new waves of coronavirus continue to hit the world, consumers have gradually become used to the new norm of working from home and shopping online. The panic buying peak during the first breakouts may have been normalized, but in every aspect of life, the shopping behavior patterns are still changing.
Transaction value in the digital commerce segment in Malaysia is projected around US$ 11b in 2020, which makes up to almost 21% of the country’s total consumer spending. (Statistica, 2020)
Measurable AI’s granular item-level e-receipts dataset provides insights into consumer spending behaviors across different sectors in Malaysia during the pandemic.
Utility Bills Goes High and Digital
Tenaga Nasional (KLSE: TENAGA), Malaysia’s national and the only electric utility company realizes digital transformation thanks to the pandemic. Its portal website and mobile app MyTNB just announced over 4.6 million registered accounts as of October 13, 2020. The portal and app allow users to pay utility bills and other TNB related transactions online.
According to Measurable AI’s dataset, electricity bills paid via MyTNB surged since April 2020 and peaked in the following month. The overall electricity bill amount paid also remained high in Q3. Among these utility bills, many of the users opened their MyTNB accounts for the first time.
The impact on transportation was huge but recovered more quickly than other industries. Demand for gas and fuel experienced a huge drop in April and May during the lockdown, but grew back soon and even hit a new high in June and July. According to Measurable AI’s e-receipts data of fuel bills sent from Setel , the gas station payment app by the country’s national gas company.
E-commerce is growing, with no surprise
According to Temasek’s 2019 e-conomy report, Malaysia’s e-commerce market value reached over 3 billion and covers 42% of its internet economy. Not surprisingly, e-commerce sales keep growing as people try to stay out of the brick and mortar stores. Shopee (NYSE:SE), South East Asia’s emerging e-commerce giant has grown to be the No.1 in Malaysia. Both its order volume and revenue amount shows steady growth during Q2 and Q3 this year. In the significant month of April alone, the order volume grew up to 30 % month-over-month and over 65% year-over-year.
All for Food-Delivery, None for Ride-hailing
Though usually offered within the same app, ride-hailing and food-delivery industries experienced two very different 2020. In Malaysia, the dominant ride-hailing app Grab suffered a huge fall in business volume but gained uptrend with its booming food-delivery service GrabFood.
Another Food-delivery service Foodpanda (FWB: DHER) has also seen major growth during the Covid-19 and steadily kept the momentum. In our earlier research on Food -delivery in South East Asia, the same uptrend was seen in other countries as well for Foodpanda.
Payments Online versus Offline
Online payment gateways (and P2P wallets) such as iPay88, which consumers rely on to do online shopping have been doing okay.
E-wallet providers that are linked to offline retailers and shops experienced a significant drop during the lockdown and recovered healthily along when cities reopened in Malaysia. Services like Fave (mobile e-wallet app) has taken a hit since April, with a drop of over 60% month-over-month.
Local Classified is doing alright
Mudah is one of the biggest classified and second-hand buy and sell marketplace. Measurable AI’s e-receipts data shows that the monthly estimated new listings fell dramatically in March, April, and May, but shortly recovered to where it was before the pandemic.
Additionally, among all the listings, Gadgets and Electronic remains to be the most popular category despite the pandemic, there was also a slight increase in listings in the home appliance category in recent months.
Talk to us for more transactional datasets on consumer spending in more emerging markets.
ABOUT US
Measurable AI provides actionable consumer insights based on millions of consumers’ transactional records for the emerging markets.
Charlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. Charlie writes stories about consumer trends with Measurable AI’ real-time transactional data panel.
You can reach her at [email protected]
*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
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#E-Commerce
Sep 21, 2020
Case Study: MomoShop’s Leading Indicator
Measurable AI‘s aggregated monthly order amount based on its e-receipts data turns out to be a leading indicator for revenue movements of Momoshop, a top E-commerce website from Taiwan (TWO: 8454).
Compared with the monthly revenue number published on MomoShop’s own IR page, Measurable AI’s aggregated number for monthly order has been a great proxy of the revenue movement of the company.
Talk to us for more interesting datasets on the e-commerce industry.
ABOUT US
Charlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. Charlie writes stories about consumer trends with Measurable AI’ real-time transactional data panel.
You can reach her [email protected]
Measurable AI provides actionable consumer insights based on billions of alternative data for the emerging markets.
*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
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