Uber has transformed the taxi industry through its use of information technology. It launched in 2009 as a mobile app that allows users to request rides from nearby drivers. Uber collects large amounts of user data through its app and has faced criticism over privacy and data security issues. While Uber has disrupted legacy taxi companies, new players may emerge using technologies like self-driving cars. Recommendations include improving customer loyalty, securing customer data, developing application controls, and informing customers clearly on data use.
How Uber Works Uber Business Model & Revenue Model It is a business model is an on-demand transportation service in the taxi industry all across the world
https://futureworktechnologies.com/how-uber-works-business-model-revenue-uber-insights/
In this presentation , we try to understand the business model of Uber with digital strategy as the backbone. Also we look into the financial strategy of Uber , the challenges it is facing
Tactical Brand Marketing Plan - UBER Munich, GermanyEvelyn Sindermann
A market analysis of UBER in the German market (Munich) with recommendations for a tactical brand strategy that increases revenue to €8.2M by the end of 2015 and doubles the market share to 14.8% by 2020.
How Uber Works Uber Business Model & Revenue Model It is a business model is an on-demand transportation service in the taxi industry all across the world
https://futureworktechnologies.com/how-uber-works-business-model-revenue-uber-insights/
In this presentation , we try to understand the business model of Uber with digital strategy as the backbone. Also we look into the financial strategy of Uber , the challenges it is facing
Tactical Brand Marketing Plan - UBER Munich, GermanyEvelyn Sindermann
A market analysis of UBER in the German market (Munich) with recommendations for a tactical brand strategy that increases revenue to €8.2M by the end of 2015 and doubles the market share to 14.8% by 2020.
Analysis UBER's strategy.
1. Define the problem UBER has tried to solve. (from both supplier and consumer's points of view)
2. Transportation industry(Taxi) before UBER
3. How UBER business actually works
4. Their international strategy
5. Five forces analysis
6. Challenges and suggestions
UBER-Current Strategy, Competition Analysis and Global ExpansionShaminder Saini
UBER Worldwide, Business Proposition, Funding Mechanism, Taxi Industry Impact, Porter's Five Forces, PESTEL Analysis, BCG Matrix, SWOT, Levels of Service, Customer Engagement, Value Proposition, Disruptive Strategies, Global Expansion
Uber's Rapid Growth with Innovative Strategy Mubeena Soomro
American-based Transportation network.
Started in 2009 in US cities,
By 2012 to 2013 it expanded rapidly into overseas market including Europe, Sidney, Austria, Asia, China, India and Pakistan within few years it started operations in 65 countries and 570 cities across the globe.
$200,000 in seed money.
Uber's Market Strategy - An example of modern day business modelsRahul Shaha
This is a presentation on Uber's two-sided market strategy. Tools suchas the Porter's 5 Forces, Business Model Canvas and PESTEL analysis have been used.
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for Uber’s taxi service. Uber’s service enables anyone to provide taxi services and it provides dynamic pricing for better matching of supply and demand. Its value proposition for potential drivers is the opportunity to work as driver on their own hours. Its value proposition for user to lower taxi fares during most times of the day and a higher supply of taxis (and higher prices) during peak demand. The customers are tech-savvy and smart phone users who value their time. Uber receives payments directly from customers and keeps a percentage of these payments as its income. Uber’s patents for a demand-price algorithm represent a barrier of entry and thus a method of strategic control.
Everything has already been said about Uber. Or has it? Both fascinating and repulsive, closely watched by the media and politicians, the Californian unicorn’s growth model hasn’t been spared any sort of criticism.
And yet, valued at $68 billion, the firm mesmerizes VCs as never seen before and inspires every week countless articles, op-eds, infographics and columns – not including numerous bills… It’s because, just like the whole digital revolution, Uber questions every habit, system, model and belief.
In order to go beyond these debates, FABERNOVEL offers an analysis devoid of any political or ideological consideration, a study to understand Uber’s growth model – that we see as viral – and to delve as much as possible into its success factors.
If you’re interested in our work and you wish to organize a presentation for your team, just send us a message at hello at fabernovel.com
Analysis UBER's strategy.
1. Define the problem UBER has tried to solve. (from both supplier and consumer's points of view)
2. Transportation industry(Taxi) before UBER
3. How UBER business actually works
4. Their international strategy
5. Five forces analysis
6. Challenges and suggestions
UBER-Current Strategy, Competition Analysis and Global ExpansionShaminder Saini
UBER Worldwide, Business Proposition, Funding Mechanism, Taxi Industry Impact, Porter's Five Forces, PESTEL Analysis, BCG Matrix, SWOT, Levels of Service, Customer Engagement, Value Proposition, Disruptive Strategies, Global Expansion
Uber's Rapid Growth with Innovative Strategy Mubeena Soomro
American-based Transportation network.
Started in 2009 in US cities,
By 2012 to 2013 it expanded rapidly into overseas market including Europe, Sidney, Austria, Asia, China, India and Pakistan within few years it started operations in 65 countries and 570 cities across the globe.
$200,000 in seed money.
Uber's Market Strategy - An example of modern day business modelsRahul Shaha
This is a presentation on Uber's two-sided market strategy. Tools suchas the Porter's 5 Forces, Business Model Canvas and PESTEL analysis have been used.
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for Uber’s taxi service. Uber’s service enables anyone to provide taxi services and it provides dynamic pricing for better matching of supply and demand. Its value proposition for potential drivers is the opportunity to work as driver on their own hours. Its value proposition for user to lower taxi fares during most times of the day and a higher supply of taxis (and higher prices) during peak demand. The customers are tech-savvy and smart phone users who value their time. Uber receives payments directly from customers and keeps a percentage of these payments as its income. Uber’s patents for a demand-price algorithm represent a barrier of entry and thus a method of strategic control.
Everything has already been said about Uber. Or has it? Both fascinating and repulsive, closely watched by the media and politicians, the Californian unicorn’s growth model hasn’t been spared any sort of criticism.
And yet, valued at $68 billion, the firm mesmerizes VCs as never seen before and inspires every week countless articles, op-eds, infographics and columns – not including numerous bills… It’s because, just like the whole digital revolution, Uber questions every habit, system, model and belief.
In order to go beyond these debates, FABERNOVEL offers an analysis devoid of any political or ideological consideration, a study to understand Uber’s growth model – that we see as viral – and to delve as much as possible into its success factors.
If you’re interested in our work and you wish to organize a presentation for your team, just send us a message at hello at fabernovel.com
Uber for business imc final presentationJorge Tatto
Despite the advantages offered by Uber for Business, it has faltered in its adoption. Uber approached us to help them with the following specific problems that are addressed in this report:
• Low awareness of Uber for Business service amongst business community
• Adoption resistance due to constant media attention
• Dormant accounts, low activity after signup
• Incomplete employee account activation
In terms of results, we were given a few objectives to cover by Uber that will be addressed with our integrated marketing communications strategy:
• Improve signups of businesses on a per week basis
• Encourage dormant accounts to be active and increase the average rides per active account per week
Everything has already been said about Uber. Or has it? Both fascinating and repulsive, closely watched by the media and politicians, the Californian unicorn’s growth model hasn’t been spared any sort of criticism.
And yet, valued at $68 billion, the firm mesmerizes VCs as never seen before and inspires every week countless articles, op-eds, infographics and columns – not including numerous bills… It’s because, just like the whole digital revolution, Uber questions every habit, system, model and belief.
In order to go beyond these debates, FABERNOVEL offers an analysis devoid of any political or ideological consideration, a study to understand Uber’s growth model – that we see as viral – and to delve as much as possible into its success factors.
If you’re interested in our work and you wish to organize a presentation for your team, just send us a message at hello at fabernovel.com
Presentation given on 28 November 2013 at the Institute for Transport Studies (ITS) www.its.leeds.ac.uk
By James Bennett from METRO www.wymetro.com
Covering the importance of Smartcards from the customer viewpoint, implementation, issues arising from implementation and the benefits associated with implementation.
the basic concept of Connected Cars, technologies available and business opportunities with next-generation cars. Indian perspective of the Connected cars
Dealer Mobility (www.dealermobility.ru) - a mobile platform for building a new communication channel between a car dealer and car owners using smartphones and social networks. Dealer Mobility makes it possible to quickly create unique mobile app for car dealer without additional investments into software development
Internet Economics: Urban and Rural perspectivesSayeef Rahman
The presentation looks at various economic and business factors that impact the growth of Internet in Bangladesh. This can be a common phenomenon for countries with lack of infrastructure reach out to the rural communities.The presentation looks into possibilities whether you can bring about a tech disruption in Internet business.
The following presentation examines trends and best practices in Self Service, with respect to consumer trends, company strategies, tools and best practices in various industries.
We have reviewed the following types of Self Services:
Unassisted Self Service - where a customer can complete a transaction / receive the support he/she needs without requiring a human agent’s assistance at all. For example: online booking and ordering, online fund transferring, etc.
Assisted Self Service - where the customer can access the service at his/her own terms, but does require a human agent on the other side, for example: video tellers / conference calls, live chats with a live agent, email / SMS to an agent, etc.
Ubicabs online taxi booking platform including appsJames Bamford
How ubiCabs provides customers a taxi booking platform. Service provided to fixed fare or metered taxis whether on websites, native apps (iPhone and Android), mobile web apps, call centre apps.
We discuss a potential customer journey for a automotive insurance use case. Taking into consideration that GDPR regulation as well as other regulations need to be adhered to.
AICAS enables the data capturing for in-vehicle data collection as well as after market solutions.
www.aicas.com
Ride Sharing App Development- A Gateway to Enhance Travel & Tourism Industry.pdfTechugo
Many fundamental steps are required to create ridesharing apps that are unique and effective. This includes conducting market research, selecting key features, and estimating costs.
There must be two panels, one for riders/passengers and another for drivers. This divides the fundamental elements required to build a rideshare management app.
This article will discuss the features you need to include when working with a ride sharing app development company such as Techugo to build a rideshare app.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
2. SUMMARY
I. General Introduction
II. How IT influenced the taxi business
III. Key problems
IV. Projections In The Five Next Years
V. Changes And Emerging Players
VI. Recommandations
2
3. I. General Introduction
• Based in San Francisco
• Launched in 2009
• 2200 Employees
• Available in 62 cities in 45 countries
3
4. 4
Operational Management
Order
Driver’s grade
Where orders are placed ?
When orders are placed ?
Middle Management
Reporting these data
to the previous data
Senior Management
Developing the business model
with Uber Pool & Uber X
1. The Business organization
6. a. Consumerization of IT
• Consumerization of IT is a phrase used to describe the cycle of
information technology emerging in the consumer market,
then spreading to business and government organizations.
6
Uber : All steps & operations are
done by mobile phones
in Applications or Website :
• Registration
• Ordering
• Payment
• Evaluation
Which gives the Company :
• Flexibility
• Accessible to the General
Public
• Easy to use
• Productivity
7. b. Mobil Digital Platform
7
Enter the addresses Price Estimation Confirmation
8. c. Cloud computing
• Uber is a web application, that uses content from more than
one source to create a single new service displayed in a single
graphical interface, that uses content from more than one
source to create a single new service displayed in a single
graphical interface
8
9. 3. The 8 features of the e-commerce
• Ubiquity :
• Only mobile phone application, available at anytime
• Global reach :
• The technology is available in 62 cities in 45 countries
• Universal standards :
• It implies lower consumer’s search costs because customers can
locate a taxi very easily thanks to the driver GPS
• Richness :
• Lots of contents on internet : videos, articles, opinions about Uber
company
9
10. • Interactivity :
• The customer can see the profile of the driver and evaluate the
driver’s performance.
• The consumer co-participate in the process of delivering the service
• Information density :
• Huge information about the driver, the customer and the route that
must be taken. On the web, information about the taxi market
(competitors, problems of legacy…)
• Personalization/customization :
• The customer can choose the driver and the type of Uber service
• Social technology :
• Important use of social networks to talk about Uber.
• Ex : On the facebook page, share of experiences, news etc
10
11. II. How IT influenced the taxi
business
• Search by mobile phone
• We can see the profile of the driver before confirming
the ride.
• Optimizing availability: in big cities, the taxi drivers
adopted new technologies, which allows them to have
GPS, so the customer can locate a taxi at any time.
11
1. The Demand
12. 1. The Demand
• Providing a confirmation interface for on-demand
services
• Dynamically providing position information of the
driver
• Mobile paiement
12
13. 2. The Service
• Timeliness: reducing waiting and kilometers
unproductive hours.
• Efficiency : Define optimized routes calculated as Traffic
constraint.
• The application shows the estimated travel time.
13
14. 3. After The Service
• Providing a summary or receipt for on-demand services
through us of portable computing devices.
• Rating system : The customer can rate the driver up to
five to guarantee the quality of the service.
14
15. III. Key problems
• Private scoring system : passengers are evaluated by the
drivers
• Problem of private data : no security for the customers (cf
below)
• Protests and problem of illegacy
• Problem of competition
• Inefficiency of Uber’s navigation system 15
16. Data security
• Information collected by Uber:
Personal information: Email, Password, Name…
Usage information: browser used by the customer…
Device Identifier : IP adress.
Tracking information: GPS coordinates.
Information third parties provide about the customer
Information collected by mobile applications: mobile operator
• Methods used to collect Usage Information:
Cookies and super cookies
Web Beacons
Embedded Scripts
16
17. Data security : key problems
• Stored and used of the customer’s credit card information
• Personal information collected for internal business purposes not
clear.
• Analytics service providers may set and access their own cookies,
web beacons and embedded scripts to collect customer’s
information.
• Link with social network spread of data.
• Storage of information even when the account is cancelled.
• Use of encryption as security practice not impenetrable.
• Legislation of the USA different than the European one, USA
allows businesses to gather transaction information and use this
for other marketing purposes
17
18. IV. Projection of future
technology
• Evolution of the mobile network (USA, Europe)
• New support (Google Glasses, Connected watch)
• Evolution of the car industry (Google’s car, Tesla brand)
18
20. V. The Industry’s Preparations
Responding to These Changes
• Invest in new technologies
• Create agreements and partnership with IT firms
• Widden and differenciate the targets
• Secure the applications and the private information of
customer
20
1. Challenges for change
21. 2. New players likely to emerge
• Applications could be developed to set up this new kind of
transport
• More and more concept as Uber
• Google car
• A mobile application for “taxi bike”
• segway concept
21
22. VI. Recommandations
Instore a direct line on the internet and by telephone in
order to develop customer loyalty
Secure the datas of its customer by correcting some errors,
improve controls, pay attention to customer’s datas and
trade secrets
Developp application controls and forecast the potential
issues of the system
Should provide drivers with specified area such that the
waiting time of customer may be shorter and that every
space of the city may be provided with dirvers 22
23. VI. Recommandations (con’t)
Use different security systems if one is hacked, all the
data are not steal (do not put all your eggs in the same basket)
Inform clearly the customers how you will use his related
information and help him to secure his data transparency
23
24. Thank you for your attention !
24
Have you any question ?
Editor's Notes
This part concerns the trends of the company Uber
First We will talk about the consumerization of IT, that we will first define then explain how uber is concerned about this trend
Then We will see the mobile digital platform of this mobile application
Finally we will understand how Cloud computing is employed in Uber
Definition
Why Uber is consumerized
How consumerization of IT is helping Uber improving its business
As we see the platform of the mobile application is simple and easy to use
After a quick registration, that we can do with facebook profil, you just have to locate yourself by the geolocalisation tool or by entering your adress
Then estimate the price by typing the destination adress
And finally confirm your demand, and the payement will proceed thanks to the credit card information that you gave in the registration step
Uber is a wleb application, that uses content from more than one source to create a single new service displayed in a single graphical interface, that’s what we call cloud computing.
For ex : geolocalisation, the map, Spotify, payment system