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Data Management & Architecture Transformation
Data Management & Architecture Transformation
$100M HOME SERVICES COMPANY
Background
- $100M home services company faced challenges with data silos and manual data processing
- The existing data infrastructure was fragmented, leading to inefficient data management and decision-making.
- Lack of centralized data storage and automated data flows hindered timely access to insights
- Company needed a scalable solution to integrate data sources, automate ETL processes, and enable data visualization
- Engaged with our team to design and implement a modern data architecture and automation solution
Contributions
- Established a centralized data lake to house all operational data
- Automated ETL (Extract, Transform, Load) processes to ensure real-time data availability and reduce manual workloads
- Configured Power Automate flows to streamline data ingestion and transformation, improving process efficiency
- Integrated the data lake with analytics tools to support advanced predictive modeling and decision support systems
- Developed custom data visualizations and reporting tools
Results
- Achieved a single source of truth for all company data, improving overall data quality and decision-making speed.
- Reduced time spent on data management by 50%, enabling staff to focus on value-added activities.
- Provided the foundation for scalable growth in analytics, supporting future initiatives and strategic decision-making.
- Improved data quality and consistency by establishing standardized data processes and governance