- Case Study -
Custom Indexing, an Evolution of Index Investing
Mid-sized Canadian investment manager.
A newly established custom indexing division of a large financial organization required an analytical data platform to build and maintain custom indexes for its growing customer base.
Advanti led the build-out of a large, diverse, and sophisticated indexing data platform, allowing the client to achieve critical mass quicker, scaling from 25 to 200 indexes with predictable costs.
We provide a wide array of cutting-edge services required to fully build a fast data pipeline.
We offer a "simple" approach to designing so called complex systems with an emphasis on Design and DevOps.
Index investing has changed
General indexes have a single methodology, one rule for what they own and how they rebalance. General indexes are a one size fits all. Like general indexes, custom indexes also invest and rebalance according to a defined methodology, but the methodology is personalized by an investors preferences and constraints, they are very flexible and so must the data that is brought together in order to create a custom index.
Serverless matches flexibility
Advanti developed a serverless data infrastructure that bring together all of the necessary data for comprehensive custom indexing to occur, we used Lambda, DynamoDB, Glue, ECR, EKS, Terraform, and SageMaker to create a mission-critical back-end database used by a modern lightweight UI and Python for real-time analytics.
A single and reliable solution
After deploying the platform, built to perform consistently across multiple environment environments, Advanti's client was able to provide users of the database with a cloud-native platform for building custom indexes, including storing and tracking "idea universes", all based on a single source of data.