AWS Glue for financial company in Indonesia

Additional information

Source: Web-site of vendor

The project has been delivered on schedule

The budget has not been exceeded

Functionality complies with task

Description

"After experimenting with different ETL frameworks, we ended up using AWS Glue to power our day-to-day ETL processes. As easy as point and click, we are able to define and run ETL jobs in no time without complicated server provisioning. ETL-ing data from our data lake to our Redshift warehouse is just one of use case examples of AWS Glue. The transformed data is then fed to our BI tools to track important key metrics, and it also serves as a basis for our credit scoring models, which have credit scored millions of customers. Last but not least, in a hyper-growth startup like us, being cost-effective is essential. AWS Glue allows us to pay only for computing power that we need to run the jobs. It is amazing that leveraging AWS Glue has enabled our small team of data engineers to run the whole data infrastructure in our company." - Umang Rustagi, Co-founder and COO, FinAccel

Details

Business tasks

Reduce Costs

Enhance Staff Productivity

Ensure Security and Business Continuity

Improve Customer Service

Problems

No control over data access

Inability to forecast execution timelines

Low quality of customer service

High costs

Complex and non-transparent business processes