Introduction
Our client, a multinational US-based investment and financial company specializing in asset, wealth, and investment management, embarked on a transformative journey to enhance its real estate market analytics capabilities. With a focus on collecting and analyzing heterogeneous data sources, the client sought to leverage advanced technologies to drive investment strategy solutions and business analytics.
Analyzing the Problem
The client's primary business requirement was to develop a new solution for loading and processing real estate market data to facilitate investment strategy decisions. The solution aimed to:
- Collect diverse data points from heterogeneous sources.
- Transform data to evaluate asset performance and enable forecasting with a certain level of accuracy.
Initial Challenges
- Managing and processing large volumes of heterogeneous data from diverse sources posed significant challenges, including data integration and transformation complexities.
- Ensuring the solution's scalability and elasticity to accommodate varying data loads and meet on-demand requirements.
- Implementing robust data governance and security measures to protect sensitive information and ensure compliance with regulatory standards.
Our Solution
Cloud Infrastructure: Leveraged AWS S3 for scalable storage and AWS KMS for data encryption, ensuring secure data storage and transmission.
Workflow Orchestration: Utilized Sidekiq as a scheduler to trigger Snowflake and data transformation engines, enabling seamless data processing and workflow automation.
Data Transformation: Implemented a data build tool, DBT, with business rules transformation logic hosted on Azure functions, facilitating efficient data transformation and preparation.
Data Warehousing: Established four data warehouses on Snowflake to store and manage transformed data efficiently.
Reporting and Visualization: Utilized Power BI to provide analytical dashboards for intuitive data visualization and insights generation.
Key Results Achieved
- Enabled seamless data sharing of processed data within minutes to users and applications, enhancing collaboration and decision-making agility.
- Leveraged Snowflake's elasticity of compute and storage to meet on-demand requirements, ensuring optimal performance and resource utilization.
- Leveraged Snowflake's built-in data governance functionality to advocate access to designated users, ensuring data integrity and compliance with regulatory standards.
Conclusion
Through the successful implementation of advanced technologies and innovative solutions, our client achieved significant advancements in real estate market analytics. By harnessing the power of cloud infrastructure, workflow orchestration, data transformation, and advanced analytics tools, the client transformed their data operations, enabling informed investment strategy decisions and driving business growth. The journey exemplifies our commitment to innovation, collaboration, and delivering impactful solutions that empower organizations to thrive in a rapidly evolving digital landscape.
