An investment management company based in Singapore wanted to ingest and process data on cloud-based consolidation engine with roll-up and visualization capabilities. Abzooba’s solution comprised of reporting components (semantic layers & reports/ dashboards) for ~35 views with specialized data store/table structure and data refresh approach.
Updated data from database is reconciled into a consolidated file and uploaded to SFTP for review
US based multinational consumer credit reporting agency wanted to ingest data from their legacy systems into newly developed data fabric. Abzooba created a mirrored copy of database in the Data Fabric which ingests data in production operation, with monthly refresh.
Fully automated process for data ingestion
One of the world’s oldest & largest investment management organization wanted to ingest data from internal systems and third- party broker sources and identify root sales associate for each transaction. Abzooba designed and developed an ingestion framework to execute use cases like trade matching, plan sponsor matching, etc.
Improved the accuracy of the sales crediting process for its sales associates
A leading Auto Insurance provider based in Ohio wanted to optimize costs, automate cluster management and avoid data quality issues for downstream analytics tools like Qlik, Informatica & SAS. Abzooba created data lake in AWS with Elastic Map Reduce or processing data and auto-scaling clusters and provided a centralized administrator for handling big data clusters and analytics workspace.
Net savings of $40K-$50K per month
