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Power BI Solution for a Geneva Based Trading & Shipping Firm

The client is a trading and shipping company located in Geneva with specialization in trading and management of oil products. They are present in the global energy market and require a tool that can help them analyze their date so that they can make decisions faster. Hence, they asked us for a business intelligence solution which can help them to have a track of each essential data.

  • Industry
    Shipping and Logistic
  • Country
    Switzerland
Technologies
Years In Business
36+
Years In Business
Projects Delivered
3000+
Projects Delivered
Happy Clients
200+
Happy Clients
Countries Served
40+
Countries Served

Business Goals

The primary and overall purpose of the client was to develop a Business Intelligence (BI) system that would update daily oil stock values and have the capability to forecast future stock values incorporating some factors.

  • For this, they require custom dashboards and visuals where data can be updated almost in real-time to support their fast decision-making.
  • The client required daily update information on tank phases and oil reserves.
  • Thirdly, they wanted to Forecast the future prices of the oil stocks.
  • They were explicitly searching for a BI solution for data visualization to enable them to obtain real-time information and make timely decisions.

Challenges Faced by the Client

Problems with Data Visualization

Problems with Data Visualization

The client had trouble showing their business data clearly because Power BI’s basic charts were too limited, making it hard to understand important information.

Slow Reaction to Market Changes

Slow Reaction to Market Changes

Because of these visualization issues, the client couldn’t quickly respond to changes in the oil supply chain, which is vital in the fast-moving energy market.

Struggling to Meet Energy Demand

Struggling to Meet Energy Demand

The difficulty in visualizing data made it harder for the client to keep up with the growing global demand for energy, affecting their efficiency.

Need for Custom Visuals

Need for Custom Visuals

The client needed a solution that allowed them to create more customized visuals to meet their specific business needs, which Power BI’s standard features couldn’t fully support.

  • Using Agile Method

    We opted for the Agile method which means that the process can be broken down into smaller parts or phases, and this helps to respond to the needs of the client faster.

  • In-Depth Research and Planning

    We initially began by investing our time to understand what the client requires and then identify the most suitable solutions for their problems. This planning ensured that we had the right solution to fit for this problem.

  • Creating Custom Visuals

    We built a Power BI application with custom visuals like forecast line charts and range area charts, using the HighCharts library to match exactly what the client needed.

  • Adding Special Features

    The custom visuals we made included features like adjustable settings, dynamic range calculations, and real-time data updates, giving the clients the tools they needed to make smart decisions.

How We Tackled the Challenges

Project Glimpse

The global business intelligence market size was valued at USD 29.42 billion in 2023 and is projected to grow from USD 31.98 billion in 2024 to USD 63.76 billion by 2032, exhibiting a CAGR of 9.0% during the forecast. U.S. business intelligence market is predicted to grow significantly, reaching an estimated value of USD 12,821.9 million by 2032.

- Source

Features

Forecast Line Charts
Forecast Line Charts
Range Area Charts
Range Area Charts
Custom Chart Creation
Custom Chart Creation
Yearly Report Generation
Yearly Report Generation
Axis and Tooltip Customization
Axis and Tooltip Customization
Dynamic Range Calculation
Dynamic Range Calculation

Work Process

01
Research and Analysis

We conducted thorough research to understand the client’s business needs and the limitations of existing solutions.

Research-Analysis
02
Design

Our design team created wireframes and prototypes to visualize the custom charts and reports.

Design
03
Development

The development phase involved coding the custom visualizations using Power BI, Visual Studio, and the HighCharts library.

Dashboard Development
04
Testing

Rigorous testing was conducted to ensure the functionality and accuracy of the custom visualizations.

Testing
05
Launch

The final product was launched after receiving client approval, ensuring it met all business requirements.

Launch

  • 01.
    Better Oil reserve Management

    The Power BI solution made it easier for the client to track and predict oil reserve levels accurately.

  • 02.
    Clearer Data Insights

    Custom charts helped the client understand their data better, leading to smarter decisions.

  • 03.
    Faster and More Efficient Operations

    The solution made the organization run more smoothly, speeding up processes and evaluations.

  • 04.
    Improved Investment Decisions

    The client could make better decisions about stock investments, resulting in better outcomes.

Results

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