Define business goals

[Skraiem07]

Ticket Description: Understand Task and Business Requirements Title: Define business goals

Description: The goal of this ticket is to thoroughly review the provided dataset description and associated materials to build a comprehensive understanding of the task and the underlying business requirements for the fraud detection project.

Details:

Objective: Gain a solid understanding of the dataset and the business context to accurately define the project's scope and requirements. Dataset: Fraud Detection in Electricity and Gas Consumption Challenge dataset from Zindi link. Outcome: An .md file documenting the task and business requirements in detail. Steps:

1. Review Competition Details:

• Thoroughly read the competition overview and guidelines.
• Understand the problem statement and objectives outlined by Zindi.

2. Analyze Dataset Description:

• Study the dataset description provided by Zindi.
• Review the features, target variable, and data format.
• Examine the starter notebook for additional context and guidance.

3.Understand Business Context:

• Identify key business problems the project aims to solve (e.g., financial losses due to fraud, accuracy in billing).
• Determine the expectations of potential stakeholders (e.g., utility companies, regulatory bodies).

4.Document Findings:

• Create an .md file summarizing the following:
• Overview of the task
• Detailed description of the dataset
• Business requirements and objectives
• Key metrics for success

[joaodefariajunior]

1. Reduction in Financial Losses**:

   • *#Goal**: Decrease annual financial losses due to fraud by 80%.

   • Impact**: Potential savings of up to 160 million Tunisian Dinars annually.

2. Enhanced Revenue**:

   • Goal**: Increase overall revenue by 10%.

   • Impact**: Ensure accurate billing and improved financial performance.

3. Improved Fraud Detection Accuracy:

   • Goal: Achieve a fraud detection accuracy rate of 95%.
   • Impact: Minimize false positives and negatives, leading to more effective fraud prevention.

4. Operational Efficiency:

   • Goal: Automate 90% of the fraud detection process.
   • Impact: Reduce manual workload, enhance productivity, and allocate resources to strategic tasks.

5. Customer Trust and Satisfaction:

   • Goal: Increase customer satisfaction ratings by 15%.
   • Impact: Fair billing practices and reduced erroneous accusations will build trust and improve customer relationships.