How Bluepi Migrated International Travel House to AWS for Scalability, Security, and Growth
12 December 2023
Boosting Online Jewelry Sales with Hyper-Personalized Interventions & Data-Driven Insights
12 December 2023
From Siloed Data to Profitable Insights: BluePi Transforms Real Estate Search Portal with KPI Consolidation and Data Democratization
Executive Summary:
This case study examines how BluePi successfully helped a real estate search portal overcome data silos, define and consolidate key performance indicators (KPIs), and democratize data access across the organization.
Background:
The real estate portal relied on disparate data sources for various functions, leading to manual analysis, siloed reporting, and inconsistencies in KPI definitions. This fragmented data landscape hindered informed decision-making and efficient campaign management.
Challenges and Objectives:
- Siloed Data: Disparate data sources across departments created limited visibility and hindered collaboration.
- Broken Reporting: Inconsistent and siloed reports hampered overall insights and strategic understanding.
- Unclear KPIs: Lack of standardized KPI definitions resulted in confusion and misalignment across functions.
- Manual Data Analysis: Time-consuming manual data collation and aggregation limited data utilization.
- Data Inaccessibility: Restricted access to data hindered decision-making at various levels of the organization.
Solution:
BluePi implemented a comprehensive solution encompassing:
- Data Consolidation: Integrated diverse data sources into a central repository using Snowflake, creating a single source of truth.
- Data Ingestion and Integration: Employed AWS Data Migration Service and Databricks with PySpark to efficiently ingest and integrate data.
- Augmentation with Third-Party Data: Enriched data with relevant third-party sources for deeper insights.
- Standardized KPIs: Defined and consolidated KPIs across all departments, ensuring consistency and alignment.
- Data Democratization: Implemented role-based access control (RBAC) and a data catalog to enable data discovery and utilization across diverse teams.
- Multi-Tiered Processing: Enabled flexible data processing for various use cases, including AI/ML applications.
- Centralized Access and Usage Control: Provided secure and controlled data access based on user roles and permissions.
Business Value Delivered:
The Impact: Measurable Success and Enhanced Relationships
- Unified Data Platform: Consolidated data from various sources, facilitating cross-functional analysis and collaboration.
- Single Source of Truth: Established a reliable and consistent data source with standardized KPI definitions.
- Data-Driven Decision Making: Enabled informed decision-making through comprehensive data insights and standardized KPIs.
- Improved Campaign Management: Optimized campaign performance with data-driven insights and targeted strategies.
- Reduced Time to Market: Streamlined data access and processing, accelerating time for new initiatives.
- Data Accessibility: Empowered all stakeholders, from senior management to the frontline, with access to relevant data.
BluePi’s solution delivered tangible benefits to the DTH company:
Technology Deployed:
- Snowflake: Data warehouse for storing and analyzing data
- Databricks + PySpark: Big data platform for data processing and analysis
- S3: Cloud storage for managing large datasets
- AWS Data Migration Service: Tool for migrating data from multiple sources
- Tableau: Data visualization tool for creating insightful dashboards and reports
- Boosted revenue and profitability.
- Enhanced marketing effectiveness and reach.
- Data-driven strategic decision-making.
- Fortified relationships with channel partners and consumers.
Conclusion:
BluePi’s data consolidation, KPI standardization, and data democratization efforts significantly transformed the real estate portal’s data landscape. By creating a unified data platform and empowering diverse teams with data access, the project facilitated informed decision-making, improved campaign performance, and reduced time to market for new initiatives. This case study demonstrates the potential of data-driven approaches in achieving competitive advantage and driving business growth across industries.
