End-to-end investment data solution to deliver value to investment data management.
The client is a group of investment specialists that approached InData Labs with a request for a data solution for their real estate investment platform.
The development of a complete data pipeline on the cloud required an end-to-end integration with the web application to process users’ inputs and enable all the investment management features that would allow general partners to thrive on fruitful investment opportunities by crafting a successful investment strategy.
Developing a solution from scratch is always a challenging task, as it requires constant alignment and balance between technical requirements and the customer’s vision of success.
We were challenged to develop a data solution from scratch, considering different data input formats, such as Excel files and PDFs, and their correct processing, enrichment, and integration to enable all the features planned in the web application which was being developed in parallel.
Our main objective was to develop two platforms separately and together simultaneously, ensuring that in the end, our team had a complete, integrated solution enabling functionalities, to provide users with a pleasant experience and a vision of comprehensive assessment of performance and business strategies.
The InData Labs team started with analyzing the customer’s business to get complete understanding of its needs and requirements. The project was phased to deliver a minimum viable product and allow the customer to test their product in real scenarios.
We have completed an MVP development in 6 months by a team of 5 professionals: a Project Manager, an AWS Data Engineer, a Data Analyst, a Business Consultant, and a Technical Supervisor.
Our team has built a reliable cloud infrastructure based on AWS that makes it possible to extract and process users’ investment data to simplify and add value to investment management.
As a result, we’ve provided the client with a managed data service solution for investment management that meets the client’s business needs through optimizations such as decreased data crunching time, reduction of error and security risks, instant access to investment metrics; standardization and ease of processes for fund managers.
The InData Labs team connected the data solution with the client’s web application through API and provided data visualization through a Flask Application. The client can now ingest and consume data in a safe, practical, and efficient way, to craft a successful investment strategy.