1. / French Container Shipping Company Reduces Data Failure Issues by 75%
Overview

Poor data quality can have a severe impact on business decisions and growth. Accurate and relevant data is imperative for actionable insights. The customer wanted to streamline their data pipeline to report and measure country-level agency performance and efficiency accurately.

Problem

The customer, a worldwide shipping group using 200 routes between 420 ports in 150 different countries, had various problems with their data.

  • Lack of data quality checks
  • Lack of a centralized data repository
  • Inability to standardize data feed from different agencies
  • Poor quality of ingested data which caused inconsistency while processing with historical data
Solution

Apexon came up with a customized solution to improve the customer’s overall data ecosystem, including:

  • Designing a complete data analysis, processing, and load pipeline using Informatica and Ab Initio tools
  • Implementing Informatica MDM and data quality checks to maintain data quality in the central repository
  • Building Cognos Reporting with a dashboard view, sorting KPIs by domain, agency, balance scorecard, etc.
  • Setting data load frequency at weekly, monthly, quarterly, and yearly rates  Establishing a centralized location for all agency performance reports, prepared according to different performance and KPI metrics
Impact

The comprehensive solution deployed by Apexon gave the customer various benefits.

  • 75% reduction in process failures due to data issues
  • Significant improvement in data consistency and quality
  • Better compliance with government regulations leading to better business reputation and reduction of penalty charges to zero

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