Modern Data Warehousing and SDK Embedding
Industry
Real Estate
Service Type
Data Engineering,
BI Analytics
Duration
09 Month
Year
2024-25
Project Overview
Modern Data Warehousing and SDK Embedding is a proprietary data-driven asset management platform designed for the commercial property sector. It helps large organizations enhance data-driven decisions through tablet-based data collection, risk analysis, and comprehensive BI reporting.
Business Challenges
- Data Visualization and Insight Generation: The main challenge for Modern Data Warehousing and SDK Embedding was creating a BI-driven visualization platform to deliver dynamic, actionable insights. The goal was to enable better decision-making through enhanced data visualizations on key asset attributes.
- Data Streamlining and Scalability: The system was facing inefficiencies with manual processes. The need for real-time, automated data integration was imperative to improve accuracy, efficiency, and scalability in data management.
- User-Centric Access and Security: It was important for Modern Data Warehousing and SDK Embedding to provide easy-to-use, non-technical user interactions through Natural Language Querying. At the same time, a robust role-based security and access control system had to be put in place to protect sensitive data.
Solutions
- Automated ETL Pipeline: We streamlined data processing by automating ETL pipelines using AWS Glue and PySpark. This automated process transformed raw data into actionable insights ready for real-time visualization.
- Advanced Visualization & AI-Powered Insights: We designed dynamic dashboards using Amazon QuickSight to provide detailed, real-time monitoring. These dashboards delivered KPIs tailored to Modern Data Warehousing and SDK Embedding‘s business objectives. We also integrated AI-driven question-answering capabilities via Amazon Q, making it possible for non-technical users to explore data easily.
- Unified Security and Data Access Control: To ensure secure and easy access, we enabled Single Sign-On (SSO) integration. We implemented role-based and data-level security using AWS Cognito and IAM, ensuring that users had access only to relevant data, based on their roles.
Results & Outcome
This concise format highlights the key performance improvements clearly and impactfully.
100%
Reduction in manual data aggregation time through automation
2.5M+
Assets are now actively monitored through our solution
65%
Reduction in data latency
100%
ELIAS platform allows users to explore data via natural language queries.
Seamless & Secure
Access achieved through Single Sign-On and AWS IAM
Tech Stack
The Engine Behind ELIAS
AWS Glue
Data Engineering
AWS Lambda
Serverless Functions
Amazon S3
Object Storage
Amazon QuickSight
BI Tool
Amazon Q
Generative AI
AWS Cognito
Security
IAM
User Access Management
AWS API Gateway
API Gateway
Apache PySpark
ETL Script
Empowering organisations with data-driven insights
Contacts
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