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Development of a Workplace Analytics SaaS Platform for Real Estate Optimization
  1. case
  2. Development of a Workplace Analytics SaaS Platform for Real Estate Optimization

Development of a Workplace Analytics SaaS Platform for Real Estate Optimization

wesoftyou.com
Real estate
Business services
Financial services

Identifying Challenges in Workspace Optimization and Employee Wellbeing

Organizations often face difficulties in understanding and optimizing their office environments due to fragmented data and lack of comprehensive analytical tools. This hampers their ability to make evidence-based decisions that improve employee satisfaction, reduce costs, and boost overall productivity.

About the Client

A medium to large organization managing multiple office spaces seeking data-driven strategies to optimize workspace utilization, improve employee wellbeing, and enhance business performance.

Goals for Developing an Indoor Workspace Analytics Platform

  • Create a scalable SaaS platform to enable organizations to analyze and optimize their office spaces.
  • Develop analytical capabilities that facilitate data-driven decisions regarding workspace utilization and layout.
  • Enable large-scale data import and comprehensive visualization, including dynamic report generation with charts.
  • Integrate geospatial mapping to facilitate location-aware space planning.
  • Drive cost efficiencies and improve employee wellbeing through optimized workspace strategies.

Core Functionalities for Workplace Data Analysis and Space Management

  • Ability to upload large datasets (up to 500,000 rows) in CSV/XLSX formats for comprehensive analysis.
  • Dynamic PDF report generation with embedded charts (more than 15 chart types) for visual data presentation.
  • Multi-select filters allowing users to refine data views based on multiple criteria simultaneously.
  • Integration with mapping services (e.g., Google Maps) for spatial analysis of office locations and layouts.
  • Analytics tools for space planning, space allocation tracking, and reporting to monitor workspace utilization.
  • User interface designed for ease of use with robust data visualization components and responsive design.

Technology Stack and Architectural Preferences

Backend: Python, Django, PostgreSQL, Elasticsearch, Redis
Frontend: JavaScript, React.js, Chart.js, Redux
Data Processing & Visualization: PowerBI, Google Sheets (or equivalent BI tools)
Cloud-based deployment for scalability and remote access

Essential External Systems and Data Source Integrations

  • HR databases and facilities management systems for real-time data synchronization
  • Mapping services (e.g., Google Maps) for spatial data visualization
  • Large dataset import capabilities (CSV/XLSX file handling)

Performance, Security, and Scalability Considerations

  • Support for importing datasets of at least 500,000 rows without performance degradation
  • High system availability with minimal downtime for continuous analytics access
  • Secure data handling compliant with relevant data privacy standards
  • Responsive and intuitive user interface with fast load times

Anticipated Business Benefits from Workspace Analytics Platform

Implementation of this platform is expected to enable organizations to make informed decisions on workspace utilization, leading to improved employee wellbeing and productivity, cost reductions through optimized space management, and increased profitability. Based on prior similar initiatives, the project aims to support data-driven strategies that can significantly enhance clients' operational performance and workspace efficiency.

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