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Automated Data Integration and BI Dashboard for Executive Decision-Making
  1. case
  2. Automated Data Integration and BI Dashboard for Executive Decision-Making

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Automated Data Integration and BI Dashboard for Executive Decision-Making

orases.com
Advertising & marketing
Medical
Health & Fitness
Information technology

Inefficient Manual Data Management Hindering Strategic Decisions

Executive leadership relied on inaccurate, manually generated operational reports due to disconnected accounting and project management systems. Manual data transformation in Excel caused inefficiencies, inconsistencies, and stale data, undermining trust in decision-making processes.

About the Client

Integrated marketing, communications, and media agency specializing in science-focused sectors including biopharma, biotech, health tech, and clinical trial recruitment.

Project Goals for Data Integration Solution

  • Automate data harmonization between disparate systems
  • Eliminate manual report generation processes
  • Ensure referential integrity and data accuracy
  • Provide real-time, executive-friendly reporting dashboards
  • Reduce operational costs by removing fulltime manual data handling roles

Core System Functionalities and Features

  • Automated data profiling and quality analysis
  • Data cleansing and standardization workflows
  • Cross-system data mapping and reconciliation
  • Real-time ETL pipeline execution
  • Interactive Domo-based dashboard for budgeting, capacity planning, and burn rate tracking

Technology Stack Requirements

Middleware solutions
Domo BI platform
ETL processing frameworks

System Integration Needs

  • Accounting software (e.g., QuickBooks, Xero)
  • Project management tools (e.g., Asana, Jira)

Non-Functional Requirements

  • High data processing performance
  • Enterprise-grade security
  • Scalable architecture
  • User-friendly interface for non-technical stakeholders

Expected Business Outcomes

Projected 20+ hours weekly savings in report generation, enabling data-driven executive decisions through accurate, real-time operational insights. Elimination of manual data handling roles and establishment of reliable, standardized reporting processes.

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