Implementing EDM and Real-Time Analytics with AWS

A leading US eCommerce API and end-to-end software services provider aimed to enhance their sales, facing both internal and external pressures to boost overall performance. Their strategy involved utilizing a Cloud Data Warehouse (AWS) and Data Analytics.

Challenges

• Consolidate data from industry leaders.

• Improve cutting-edge analytics for industry data

• Establish as an authoritative data provider in the industry

• Enhance slicing and dicing of complex risk management KPIs

• Implement self-service BI across the organization

• Develop a client-centric reporting framework

Results

• Enhanced Data Integration: Streamlined merging of varied data sources for improved quality and accessibility.

• Advanced Analytics: Deeper insights and better decision-making through cutting-edge analytics tools.

• Risk Management Improvement: More detailed analysis of complex KPIs for effective risk handling.

• Self-Service BI Empowerment: User-friendly data exploration and reporting across the organization.

• Client-Centric Reporting: Tailored frameworks for improved client engagement and satisfaction.

Solution

• Migrated various data types from multiple sources (Salesforce, JSON, XML, Java APIs, semi-structured data) using Talend ETL tool to AWS-hosted warehouse.

• Employed Spark with Python for high-performance data loading.

• Utilized KMP Algorithm and POSIX operators for pattern matching and data standardization.

• Implemented real-time data push from sources to target server for Power BI visualization.