eCommerce - Business Intelligence

Client Profile:
An eCommerce startup in an emerging and challenging market with multiple revenue streams and geographical locations.

Client's Challenges:
The client was struggling to get a true picture of their business performance due to multiple revenue streams and a reliance on manual processes. Manually extracting information from various tools and correlating it was error-prone, time-consuming, and difficult to manage.

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Client's Requirement:

The client wanted a streamlined process for correlating and presenting data from different data sources in a cost-effective manner. This would provide near real-time information about the business and enable the analysis and expansion of revenue streams.

Divaaco’s Approach 
Divaaco developed a custom ETL solution that automated the data gathering process. This involved extracting, transforming, and loading data into a centralized data storage, which was then used to generate the required reports and dashboards using a BI tool. To keep costs at a minimum, Divaaco used AWS Lambda for running ETLs, AWS RDS, and CloudWatch to operate the solution in a cost-optimized manner.

Challenges:
One of the primary challenges was delivering a cost-effective solution for the startup. Divaaco overcame this challenge by utilizing AWS Lambda for ETLs and AWS RDS and CloudWatch to operate the solution in a cost-optimized manner.

Environment:
AWS, AWS RDS, Lambda,

Benefits to Customer

The solution provided the client with unified reporting, faster delivery of insights, and improved decision-making capabilities. The solution was also cost-effective, allowing the startup to manage their resources efficiently. Overall, the solution provided the client with a streamlined process for correlating and presenting data from multiple data sources, enabling them to make data-driven decisions and expand their revenue streams.