Foresight Analytics: Scaling Investment Consulting with DataOps and AI

60%

reduction in manual data processing efforts

3

Data Sources Automated

2 weeks

to ideate-design-build cycle

About the company

A leading economic hub, employing over 500 workers, handles over 5 million tonnes of cargo annually. It facilitates logistics for numerous ships and tourists, contributing significantly to the region’s economic activity. While not directly mentioned, the economic impact of this hub is substantial, generating billions in GDP and supporting numerous jobs.

The Challenge

Foresight Analytics, a boutique investment consulting firm, faced limitations in scaling their business. Manual data processing and reliance on specific skillsets hindered growth. They sought a solution to automate processes and build a scalable product.

Solution

dataengine partnered with Foresight to understand their challenges and develop a multi-phase plan. This plan focused on:

Data Automation: Automating data extraction and processing from internal and external sources.
Cloud-first Strategy: Implementing a scalable data platform on Microsoft Azure, including a data warehouse, data lake, and data aggregation tools.
Product Development: Providing a roadmap for building a data-driven product to replace bespoke services.

Outcome

60% Automation: Achieved a 60% reduction in manual data processing efforts.
3 Data Sources Automated: Automated data collection from 3 key sources.
2-Week Development Cycles: Reduced the ideate-design-build cycle to just 2 weeks.
Scalable Platform: Established a foundation for future growth with a secure and scalable data platform.
Product Roadmap: Created a roadmap to guide the development of a data-driven product.

Quote

“I have a better idea of what’s possible and would like to expand in the coming months,” Jay Kumar, CEO of Foresight Analytics.