How we help a leading American MNC in Streamline Their Global Operations
About the Client
Our client, a leading American multinational transportation company, offers services in ride-hailing, food delivery, courier, and freight transport. This company operates in around 70 countries and 10,500 cities worldwide. With over 150 million monthly active users and 6 million active drivers and couriers, the company facilitates an average of 28 million trips per day and has completed 47 billion trips since its inception in 2010. In 2023, the company's take rate was 28.7% for mobility services and 18.3% for food delivery.
Challenges Faced by the Company
MNC's global operations faced significant challenges due to the decentralized nature of their business analytics. Each country had individual business analysts who needed to request data through developers, requiring API calls to generate database queries. This process was highly time-consuming, often taking up to three days to access the necessary data. Moreover, analysts repeatedly had to ask developers to generate the same data, leading to duplication of efforts, long waiting queues, and delays. This dependency on developers created bottlenecks, resulting in a 10x delay in tasks.
Solution Implemented
To address these challenges, we developed a user-friendly portal that allowed non-technical personnel to access and retrieve data without needing developer assistance. This solution included:
Engaging UI/UX Design
Created an intuitive interface that facilitated easy navigation and data retrieval for non-technical users.
Self-Service Data Access
Enabled business analysts to generate and access the required data independently, eliminating the dependency on developers.
Workflow Optimization
Streamlined operations by reducing duplication of efforts by 5x and decreasing waiting times by 5x.
Productivity Enhancement
Increased overall productivity by 10x by allowing immediate access to necessary data.
Impact on the Company's Operatioms
The implementation of this portal significantly improved company’s operational efficiency. Analysts could now quickly access the data they needed, allowing them to make informed decisions without delays. The reduction in developer intervention not only freed up technical resources but also empowered the business analysts to take control of their data needs, resulting in faster turnaround times and more efficient operations.
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