A large container operator implements centralized data warehouse to improve data quality by 30%

Since 1996, the Client has been the world’s largest container ship and supply vessel operator. As part of a Danish business conglomerate with operations in the transportation, logistics, and energy sectors, the head of clusters required that data from all clusters be compiled and analyzed to identify business trends and performance. The client was having difficulty accurately measuring, collating, and analyzing this data based on the information provided by their team. Our solution was to create a centralized data warehouse that would process and store values from various clusters, allowing for proper analysis and insights.

Besides the complications involved in streamlining the existing infrastructure without disrupting the flow of data, Apexon specialists have discovered that:

• The client was having difficulty analyzing the business trends and performance of their cluster based on the shipment cycle and customer service provided by their team.
• There was no Centralized Data Store collating all these data from different clusters which made it difficult to store and analyze the data.

To address the customer’s requirements, we implemented a centralized data store with capability to collate and handle data volume efficiently.

• Built a centralized data warehouse to process and store the values for 32 KPIs
• Designed data extraction and processing routines to handle the multitude of data types and handle data volume efficiently by applying best practices like application of filters, indexing
• Designed data models to store the values for 11 KPIs
• Built dashboard to render the KPIs