Vietnam Mobile Market Report 2015
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Vietnam Mobile Market Report 2015: Recap of Vietnam mobile market in 2015 in numbers and figures. Insights and guide to distributing Online Mobile Games, Apps in Vietnam. After the time of collecting, evaluating and synthetizing information from reliable resources, Appota has finished the Vietnam Mobile Market report 2015. The purpose of this report is giving an overview of the domestic and foreign markets as well as sharing the business activities to readers interested in mobile market.
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Latest updates for Vietnam mobile apps market in Q2/2015.
Globally, Android leads the market with 78% smartphone share, iOS 18.3%.
In Vietnam, Android takes 61% of 22 million smartphone users. iOS takes 31%. iPhone 4 is the most used devices although iPhone 6 is on the rise.
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??ng k? nh?n ngay t?i: https://bit.ly/emagazine-creatorsVIETNAM ESPORTS WHITEBOOK 2021
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PLEASE LEAVE YOUR EMAIL TO RECEIVE THE FULL VERSION OF THE REPORT
The report made by Appota provides readers with the following main contents:
Mobile phone market overview
Market Evolution Game Mobile
Mobile advertising marketplace
Electronic payment and e-commerce
B?O C?O ?NG D?NG DI ??NG 2021
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M?I B?N ?? L?I EMAIL ?? NH?N B?O C?O ??Y ??
Báo cáo do Appota th?c hi?n cung c?p cho ng??i ??c nh?ng n?i dung chính nh? sau:
T?ng quan th? tr??ng ?i?n tho?i di ??ng
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TO DOWNLOAD THE FULL REPORT, PLEASE LEAVE YOUR EMAIL IN THE COMMENTS BELOW
Hanoi, October 26, 2020 Appota Group - a digital entertainment technology company officially released
Market report: "Mobile phones and applications in Vietnam in the first 6 months of 2020".
The Vietnam Mobile Market Report in the first 6 months of 2020 is a publication produced by Appota's market research team, referring to the overall picture of the mobile phone and smartphone market in Vietnam. Appota hopes that with 9 years of experience in digital entertainment, "Report on Vietnam's mobile phone & application market in the first half of 2020" will bring valuable information to our readers, especially especially when the Covid-19 pandemic created a great influence on the above mentioned areas.
The report made by Appota provides readers with the following main contents:
- Mobile phone market overview
- Game Mobile Market developments
- Mobile advertising market
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?? XEM B?N B?O C?O ??Y ??, M?I B?N ?? L?I EMAIL T?I PH?N B?NH LU?N PH?A D??I
Hà N?i, ngày 26/10/2020 Appota Group - c?ng ty c?ng ngh? gi?i trí s? chính th?c phát hành
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- T?ng quan th? tr??ng ?i?n tho?i di ??ng
- Di?n bi?n th? tr??ng Game Mobile
- Th? tr??ng qu?ng cáo trên thi?t b? di ??ng
- Thanh toán ?i?n t? và th??ng m?i ?i?n t?
Vietnam Mobile Marketing and Game 2019 (English new)
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This document provides an overview and analysis of the mobile marketing and gaming market in Vietnam. Some key points:
- Mobile gaming has 33 million players in Vietnam currently and is projected to reach 40 million by 2020. Nearly half of mobile internet users play games on their phones.
- The top apps and games in Vietnam are mainly social networking apps and online esports games. Popular titles include Arena of Valor, Candy Crush Saga, and Clash of Clans.
- Mobile advertising spending in Vietnam grew rapidly in 2018 and accounted for 62% of total digital ad spending. Social media receives the largest portion of digital ad budgets. Video advertising is forecasted to have the highest growth rate.
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Ngày 26/6/2019 t?i Hà N?i, Appota Group - c?ng ty c?ng ngh? gi?i trí s? ti?p t?c ??a ra báo cáo v? th? tr??ng “Vi?t Nam Mobile Marketing và Game 2019”. ??y là chu?i báo cáo nh?m ?em ??n nh?ng th?ng tin m?i nh?t v? th?c tr?ng c?a th? tr??ng qu?ng cáo và trò ch?i trên thi?t b? di ??ng t?i Vi?t Nam.
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TO DOWNLOAD THE FULL REPORT, PLEASE LEAVE YOUR EMAIL IN THE COMMENTS BELOW
Hanoi, October 26, 2020 Appota Group - a digital entertainment technology company officially released
Market report: "Mobile phones and applications in Vietnam in the first 6 months of 2020".
The Vietnam Mobile Market Report in the first 6 months of 2020 is a publication produced by Appota's market research team, referring to the overall picture of the mobile phone and smartphone market in Vietnam. Appota hopes that with 9 years of experience in digital entertainment, "Report on Vietnam's mobile phone & application market in the first half of 2020" will bring valuable information to our readers, especially especially when the Covid-19 pandemic created a great influence on the above mentioned areas.
The report made by Appota provides readers with the following main contents:
- Mobile phone market overview
- Game Mobile Market developments
- Mobile advertising market
- Electronic payment and e-commerceB?O C?O TH? TR??NG DI ??NG V? ?NG D?NG SMARTPHONE VI?T NAM N?A ??U N?M 2020 -...
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?? XEM B?N B?O C?O ??Y ??, M?I B?N ?? L?I EMAIL T?I PH?N B?NH LU?N PH?A D??I
Hà N?i, ngày 26/10/2020 Appota Group - c?ng ty c?ng ngh? gi?i trí s? chính th?c phát hành
báo cáo v? th? tr??ng: “?i?n tho?i và ?ng d?ng di ??ng Vi?t Nam 6 tháng ??u n?m 2020”.
Báo cáo th? tr??ng di ??ng Vi?t Nam 6 tháng ??u 2020 là ?n ph?m ???c th?c hi?n b?i ??i ng? nghiên c?u th? tr??ng c?a Appota, ?? c?p ??n b?c tranh toàn c?nh th? tr??ng ?i?n tho?i di ??ng và smartphone t?i Vi?t Nam. Appota hi v?ng r?ng v?i 9 n?m kinh nghi?m ho?t ??ng trong l?nh v?c gi?i trí s?, “Báo cáo th? tr??ng ?i?n tho?i & ?ng d?ng di ??ng Vi?t Nam n?a ??u 2020” s? mang ??n nh?ng th?ng tin giá tr? cho qu? ??c gi?, ??c bi?t là khi ??i d?ch Covid-19 ?? t?o nên ?nh h??ng r?t l?n t?i các l?nh v?c nêu trên.
Báo cáo do Appota th?c hi?n cung c?p cho ng??i ??c nh?ng n?i dung chính nh? sau:
- T?ng quan th? tr??ng ?i?n tho?i di ??ng
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Vietnam Mobile Marketing and Game 2019 (English new)
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This document provides an overview and analysis of the mobile marketing and gaming market in Vietnam. Some key points:
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- The top apps and games in Vietnam are mainly social networking apps and online esports games. Popular titles include Arena of Valor, Candy Crush Saga, and Clash of Clans.
- Mobile advertising spending in Vietnam grew rapidly in 2018 and accounted for 62% of total digital ad spending. Social media receives the largest portion of digital ad budgets. Video advertising is forecasted to have the highest growth rate.
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Ngày 26/6/2019 t?i Hà N?i, Appota Group - c?ng ty c?ng ngh? gi?i trí s? ti?p t?c ??a ra báo cáo v? th? tr??ng “Vi?t Nam Mobile Marketing và Game 2019”. ??y là chu?i báo cáo nh?m ?em ??n nh?ng th?ng tin m?i nh?t v? th?c tr?ng c?a th? tr??ng qu?ng cáo và trò ch?i trên thi?t b? di ??ng t?i Vi?t Nam.
Báo cáo do Appota th?c hi?n cung c?p cho ng??i ??c nh?ng n?i dung chính nh? sau:
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VIETNAM ESPORTS GUIDEBOOK 2019 by Appota Esports [Short Version]
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Ngày 11 tháng 7 n?m 2018, t?i Hà N?i, báo cáo n?a ??u n?m 2018 v? th? tr??ng ?ng d?ng ?i?n tho?i di ??ng Vi?t Nam s? ???c Appota phát hành chính th?c. Là chuyên gia v? xu?t b?n ?ng d?ng và trò ch?i trên ?i?n tho?i di ??ng, qu?ng cáo, d?ch v? thanh toán và nhà cung c?p d?ch v? l?u tr? máy ch?, Appota nghiên c?u, t?ng h?p các ch? ?? liên quan ??n ?ng d?ng dành cho thi?t b? di ??ng, c?p nh?t th?ng tin th? tr??ng Vi?t Nam - m?t trong nh?ng th? tr??ng ?ng d?ng di ??ng phát tri?n nhanh nh?t th? gi?i.
?? d? dàng ti?p c?n, báo cáo trình bày theo các n?i dung và trình t? sau:
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Growth Hacking for Indie Apps when Going Global
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hersh's midterm project.pdf music retail and distribution
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What is ETL? Difference between ETL and ELT?.pdfSaikatBasu37
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What is ETL? What is the difference between ETL and ELT? 新西兰文凭奥克兰理工大学毕业证书础鲍罢成绩单补办
新西兰文凭奥克兰理工大学毕业证书础鲍罢成绩单补办Taqyea
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Customer Segmentation using K-Means clustering
Customer Segmentation using K-Means clusteringIngrid Nyakerario
?
This project demonstrates the application of machine learning—specifically K-Means Clustering—to segment customers based on behavioral and demographic data. The objective is to identify distinct customer groups to enable targeted marketing strategies and personalized customer engagement.
The presentation walks through:
Data preprocessing and exploratory data analysis (EDA)
Feature scaling and dimensionality reduction
K-Means clustering and silhouette analysis
Insights and business recommendations from each customer segment
This work showcases practical data science skills applied to a real-world business problem, using Python and visualization tools to generate actionable insights for decision-makers.
Mining a Global Trade Process with Data Science - Microsoft
Mining a Global Trade Process with Data Science - MicrosoftProcess mining Evangelist
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The third speaker at Process Mining Camp 2018 was Dinesh Das from Microsoft. Dinesh Das is the Data Science manager in Microsoft’s Core Services Engineering and Operations organization.
Machine learning and cognitive solutions give opportunities to reimagine digital processes every day. This goes beyond translating the process mining insights into improvements and into controlling the processes in real-time and being able to act on this with advanced analytics on future scenarios.
Dinesh sees process mining as a silver bullet to achieve this and he shared his learnings and experiences based on the proof of concept on the global trade process. This process from order to delivery is a collaboration between Microsoft and the distribution partners in the supply chain. Data of each transaction was captured and process mining was applied to understand the process and capture the business rules (for example setting the benchmark for the service level agreement). These business rules can then be operationalized as continuous measure fulfillment and create triggers to act using machine learning and AI.
Using the process mining insight, the main variants are translated into Visio process maps for monitoring. The tracking of the performance of this process happens in real-time to see when cases become too late. The next step is to predict in what situations cases are too late and to find alternative routes.
As an example, Dinesh showed how machine learning could be used in this scenario. A TradeChatBot was developed based on machine learning to answer questions about the process. Dinesh showed a demo of the bot that was able to answer questions about the process by chat interactions. For example: “Which cases need to be handled today or require special care as they are expected to be too late?”. In addition to the insights from the monitoring business rules, the bot was also able to answer questions about the expected sequences of particular cases. In order for the bot to answer these questions, the result of the process mining analysis was used as a basis for machine learning.Decision Trees in Artificial-Intelligence.pdf
Decision Trees in Artificial-Intelligence.pdfSaikat Basu
?
Have you heard of something called 'Decision Tree'? It's a simple concept which you can use in life to make decisions. Believe you me, AI also uses it.
Let's find out how it works in this short presentation. #AI #Decisionmaking #Decisions #Artificialintelligence #Data #Analysis
https://saikatbasu.me Transforming health care with ai powered
Transforming health care with ai poweredgowthamarvj
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Transforming health care with ai powered dieases
Patient data
Process Mining and Official Statistics - CBS
Process Mining and Official Statistics - CBSProcess mining Evangelist
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Johan Lammers from Statistics Netherlands has been a business analyst and statistical researcher for almost 30 years. In their business, processes have two faces: You can produce statistics about processes and processes are needed to produce statistics. As a government-funded office, the efficiency and the effectiveness of their processes is important to spend that public money well.
Johan takes us on a journey of how official statistics are made. One way to study dynamics in statistics is to take snapshots of data over time. A special way is the panel survey, where a group of cases is followed over time. He shows how process mining could test certain hypotheses much faster compared to statistical tools like SPSS.Adopting Process Mining at the Rabobank - use case
Adopting Process Mining at the Rabobank - use caseProcess mining Evangelist
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Frank van Geffen is a Process Innovator at the Rabobank. He realized that it took a lot of different disciplines and skills working together to achieve what they have achieved. It's not only about knowing what process mining is and how to operate the process mining tool. Instead, a lot of emphasis needs to be placed on the management of stakeholders and on presenting insights in a meaningful way for them.
The results speak for themselves: In their IT service desk improvement project, they could already save 50,000 steps by reducing rework and preventing incidents from being raised. In another project, business expense claim turnaround time has been reduced from 11 days to 1.2 days. They could also analyze their cross-channel mortgage customer journey process.定制学历(美国笔耻谤诲耻别毕业证)普渡大学电子版毕业证
定制学历(美国笔耻谤诲耻别毕业证)普渡大学电子版毕业证Taqyea
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Process Mining at Deutsche Bank - JourneyProcess mining Evangelist
?
Niyi started with process mining on a cold winter morning in January 2017, when he received an email from a colleague telling him about process mining. In his talk, he shared his process mining journey and the five lessons they have learned so far.Automated Melanoma Detection via Image Processing.pptx
Automated Melanoma Detection via Image Processing.pptxhandrymaharjan23
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this is a presentation about melanoma detection using machine learning (CNN) and utilizing Computer vision and ethical considerations, stakeholders.
Improving Product Manufacturing Processes
Improving Product Manufacturing ProcessesProcess mining Evangelist
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Giancarlo Lepore works at Zimmer Biomet, Switzerland. Zimmer Biomet produces orthopedic products (for example, hip replacements) and one of the challenges is that each of the products has many variations that require customizations in the production process.
Giancarlo is a business analyst in Zimmer Biomet’s operational intelligence team. He has introduced process mining to analyze the material flow in their production process.
He explains why it is difficult to analyze the production process with traditional lean six sigma tools, such as spaghetti diagrams and value stream mapping. He compares process mining to these traditional process analysis methods and also shows how they were able to resolve data quality problems in their master data management in the ERP system.
Analysis of Billboards hot 100 toop five hit makers on the chart.docx
Analysis of Billboards hot 100 toop five hit makers on the chart.docxhershtara1
?
We had to do an analysis of the top 5 on the billboard 100Controlling Financial Processes at a Municipality
Controlling Financial Processes at a MunicipalityProcess mining Evangelist
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The fourth speaker at Process Mining Camp 2018 was Wim Kouwenhoven from the City of Amsterdam. Amsterdam is well-known as the capital of the Netherlands and the City of Amsterdam is the municipality defining and governing local policies. Wim is a program manager responsible for improving and controlling the financial function.
A new way of doing things requires a different approach. While introducing process mining they used a five-step approach:
Step 1: Awareness
Introducing process mining is a little bit different in every organization. You need to fit something new to the context, or even create the context. At the City of Amsterdam, the key stakeholders in the financial and process improvement department were invited to join a workshop to learn what process mining is and to discuss what it could do for Amsterdam.
Step 2: Learn
As Wim put it, at the City of Amsterdam they are very good at thinking about something and creating plans, thinking about it a bit more, and then redesigning the plan and talking about it a bit more. So, they deliberately created a very small plan to quickly start experimenting with process mining in small pilot. The scope of the initial project was to analyze the Purchase-to-Pay process for one department covering four teams. As a result, they were able show that they were able to answer five key questions and got appetite for more.
Step 3: Plan
During the learning phase they only planned for the goals and approach of the pilot, without carving the objectives for the whole organization in stone. As the appetite was growing, more stakeholders were involved to plan for a broader adoption of process mining. While there was interest in process mining in the broader organization, they decided to keep focusing on making process mining a success in their financial department.
Step 4: Act
After the planning they started to strengthen the commitment. The director for the financial department took ownership and created time and support for the employees, team leaders, managers and directors. They started to develop the process mining capability by organizing training sessions for the teams and internal audit. After the training, they applied process mining in practice by deepening their analysis of the pilot by looking at e-invoicing, deleted invoices, analyzing the process by supplier, looking at new opportunities for audit, etc. As a result, the lead time for invoices was decreased by 8 days by preventing rework and by making the approval process more efficient. Even more important, they could further strengthen the commitment by convincing the stakeholders of the value.
Step 5: Act again
After convincing the stakeholders of the value you need to consolidate the success by acting again. Therefore, a team of process mining analysts was created to be able to meet the demand and sustain the success. Furthermore, new experiments were started to see how process mining could be used in three audits in 2018.Ad