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Nisum Reduces Cloud Costs by 30% with Optimized Functionality in Data Syndication

10/01/2020

Nisum implemented software optimizations to the data processing pipeline to speed up data availability.

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Results:

The redesigned data pipeline can collect, transform, and deliver data to business partners that need it for transactions and decision-making, resulting in:

  • 20% reduction in project development time
  • 5x faster data availability

 

Business Challenge:

A Fortune 500 retail client had unreliable, siloed, and fragmented data, leading to:

  • High costs for cloud infrastructure usage 
  • Long project development times to deliver data
  • Long data processing times 

 

Solution:

Nisum implemented software optimizations to the data processing pipeline, resulting in:

  • Reduced cloud usage costs by consolidating the data in one place using Azure HDInsight for processing, as well as other Azure components, such as Blob storage, ADW, and Polybase
  • Reduced project development times with automated data pipelines using python, shell script, Spark, and CA Workload Automation
  • Reduced data processing times by making the data available to the data science team and other vendors in a few hours vs days

Feel free to contact us for more information on how Nisum can drive results for your company.

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