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Business Intelligence Automation

Objective

A leading Asian Boutique airline had a challenge in deriving intelligence from their application data from different internal and external customer facing business applications. The customer needed a system to visualize XML, CSV, EDIFACT data from their various applications at scale for business analysis and decision making. 

About the Business

Transportation

ASEAN

Consolidate diverse data sources and implement a real-time BI solution

Smart Data Integration for Enhanced Engagement

The airline company partnered with DataLens to implement a scalable data infrastructure, ensuring seamless data integration and analytics capabilities to enhance there BI experience.

Solution Highlights

  • Data Capture

    Automated real-time data capture from various sources.

  • Event Based Triggers

    Event Based Lambda Triggers to validate data

  • Data Quality Checks

    Delta Live tables for validation and error handling.

  • Data Lake Storage:

    Accommodating diverse and voluminous data.

  • Security and Compliance

    Data encryption and RBAC-based access governance.

  • BI Implementation

    Developing and deploying BI models to enhance overall reporting system

Key Outcomes

  • Data Pipeline Automation

    Automated end to end data pipeline for data ingestion and reduced processing time for tasks by 25%

  • Performance Optimization(Effort & Cost)

    Increased overall performance by 40% & reduced the overall system cost by 20%

  • Analytics-Driven Decision Making

    Increased overall data visibility by more than 40% which helped in Utilizing insights derived from the delta lake in order to make operational decisions within the first 3 months