Qlik > 实例探究 > Data analysis energizes urban mobility

Data analysis energizes urban mobility

公司规模

Large Corporate

地区

America

国家

Brazil

产品

Riocard Mais ticketing system
Qlik Sense

技术栈

Data Analysis
IBM mainframe
Db2 applications

实施规模

Enterprise-wide Deployment

影响指标

Cost Savings
Customer Satisfaction
Productivity Improvements

技术

分析与建模 - 实时分析
分析与建模 - 大数据分析

适用行业

运输

适用功能

物流运输

用例

公共交通管理
欺诈识别

服务

数据科学服务

关于客户

Riocard Mais is a ticketing system that has been driving digital transformation in the Brazilian transport sector. The transition from paper to electronic tickets began in 2003 with more than 200 companies representing around 20,000 buses. Since then, Riocard Mais has expanded geographically and today it is accepted in 72 cities in the state of Rio de Janeiro and can be used on all modes of transport, including trams, the metro, boats, light rail, and minivans. The system has more than 25,000 validators that process more than six million journeys every day. Riocard Mais is currently the biggest ticketing system in Brazil and Latin America, with more than 2,000 points of sale and more than 100,000 companies that buy travel credits for employees. It offers travel cards for students, senior users, and those with mobility impairments as well as an app that allows users to check their balance and reload their Riocard Mais card directly on their mobile phone. It has an anti-fraud facial recognition biometric and comes as a wristband or keyring.

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挑战

Riocard Mais, the biggest ticketing system in Brazil and Latin America, was facing challenges with the increasing volume and complexity of data due to the increased functionalities and technical requirements of their system. Each year, the system records two billion operations and 60 million financial transactions. The company needed a tool that could provide consistency in information and agility in accessing and analyzing data. Consultations had to be done on the mainframe, which generated conflicts between normal credit sales and business area reports. The IT department was limited to running in small time slots and a request would take on average 48 hours to fulfill.

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解决方案

Riocard Mais opted for Qlik Sense because it could process the information very rapidly and present it to the end user in a simple way. The project studied two main points: reduced fraud in travel card use and analysis of companies’ supply and demand fluctuations over 24 hours. Riocard also implemented Qlik Sense reporting and alerting capabilities to send information from reports automatically to customers. Implementing Qlik Sense in Riocard Mais made access to information more dynamic for 50 internal users and transport companies. For example, analyzing travel card history enables identification of illogical behavior that implies fraudulent use of the card. Qlik allows dashboards to be created with the profile of such users, which gives major insights for the anti-fraud team, enabling it to block irregular operations.

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运营影响

The implementation of Qlik Sense made access to information more dynamic for 50 internal users and transport companies.
Analyzing travel card history enables identification of illogical behavior that implies fraudulent use of the card.
Qlik allows dashboards to be created with the profile of such users, which gives major insights for the anti-fraud team, enabling it to block irregular operations.
The tool was crucial in monitoring the Covid-19 pandemic. Over two weeks, the number of public transport passengers in Rio de Janeiro fell by 72%. The information was vital in producing a breakdown of passenger, product, mode and company, and for informing decisions about opening and closing lines and stores, with an impact on costs.

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数量效益

65% reduction in fraud from credit purchased through the mobile phone app.
72% reduction in the number of public transport passengers in Rio de Janeiro over two weeks during the Covid-19 pandemic.

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