• Lack of Analytical Dashboard:
  The company lacked a comprehensive dashboard for data visualization and decision-making, making it difficult to gain actionable insights.
• Fragmented Data Reporting:
  Data reporting was scattered across different departments, making consolidation and analysis inefficient.
• Limited Integration:
  The company’s systems, including ERP, HRMS, and QHSE, were not seamlessly integrated, complicating data extraction and analysis.
• Inadequate Alert System:
  There was no automated system for sending alerts on critical SLA/KPI misses, impacting response times and business performance.
• Manual Data Handling:
  Manual processes for data collation and manipulation were time-consuming and prone to errors.
• Inconsistent Data Formats:
  Data came in varying formats, making it difficult to consolidate and analyze efficiently.

To address these issues, a range of automation and analytics solutions were implemented:

• RPA Implementation:
  Robotic Process Automation (RPA) was used to automate Excel report handling and data loading, reducing manual work.
• Custom Windows Service:
  Developed a custom service to connect with enterprise applications, extract data, and update the database in real time.
• SLA/KPI Monitoring:
  Set up a system for tracking SLAs and KPIs, providing timely alerts to ensure performance targets were met.
• Business Intelligence Platform:
  Implemented a robust platform for creating data-driven insights and real-time dashboards.
• ACL-Based Access:
  Role-based access control (ACL) was introduced to ensure secure and efficient data access for different stakeholders.
• Report Sharing:
  Enabled easy report sharing across departments to ensure stakeholders had real-time access to critical data.