AWS Redshift powered Marketing Analytics Platform for an Automotive Major

Business Objective

Our client is a leading global provider of mobility solutions. The client wanted to improve overall time to market and accelerate the dashboarding process.

The client also wanted to set up a standard mechanism for data ingestion and improve SQL data processing.

Challenges

Slow time-to-market the reports and dashboards to business users
Lack of standard data ingestion mechanism
Normalized data models have been a bottleneck
SQL heavy data processing slowing down the Development lifecycle
Multiple file ingestion mechanisms

Solution Methodology

Worked closely with business stakeholders and IT stakeholders to drive strategic initiatives and tactical use cases
Leveraged metadata-driven Data Lake Ingestion accelerator to standardize and accelerate data ingestion pipelines
Cloud Data platform using AWS Redshift that feeds in data from different data sources first to Amazon S3 and then to target external tables in Redshift
Leveraged DBT to accelerate ETL development using Jinja templates and Macros
Consolidated file Ingestion patterns

Business Impact

Reduced time-to-market from 4 days to 3-4 hours by redesigning the existing data model and eliminating redundancy
Improved overall business performance by providing actionable insights
Reduced the maintenance cost by implementing a standard data ingestion mechanism

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AWS Redshift powered Marketing Analytics Platform for an Automotive Major

Business Objective

Challenges

Solution Methodology

Business Impact

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