Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Unified Data Aggregation and Common Data Model for Business Insights
  1. case
  2. Unified Data Aggregation and Common Data Model for Business Insights

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Unified Data Aggregation and Common Data Model for Business Insights

fireup.pro
Business services

Data Silos and Inconsistent Data Access

Trans.eu faces challenges in gathering information from multiple internal sources, resulting in fragmented and inconsistent data. The lack of a common data reading model hinders efficient data analysis and decision-making. This impacts their ability to provide comprehensive insights and streamline processes.

About the Client

Trans.eu is a company operating in the business services sector, likely providing solutions or services to other organizations. They require a robust data management system to improve data accessibility and analysis.

Project Goals

  • Develop a system for aggregating data from diverse internal sources.
  • Establish a common data reading model for consistent data interpretation.
  • Enable rapid access to data through data read models.
  • Improve data-driven decision making across the organization.

Functional Requirements

  • Data ingestion from multiple internal systems.
  • Data transformation and cleansing.
  • Implementation of a common data reading model.
  • Data visualization and reporting capabilities.
  • Quick data retrieval via data read models
  • User authentication and authorization.

Preferred Technologies

Data modeling tools
Data integration platform
Reporting and visualization tools

Integrations Required

  • Existing internal databases (specify types if known)
  • Other internal applications (specify applications if known)

Key Non-Functional Requirements

  • Scalability to handle growing data volumes.
  • Performance for rapid data retrieval.
  • Data security and access control.
  • High availability and reliability.

Expected Business Impact

By implementing this solution, Trans.eu will gain a unified view of its data, improve data quality, and accelerate data-driven decision-making. This will lead to increased operational efficiency, better insights, and improved business outcomes. The ability to quickly present results of individual inquiries will also improve responsiveness to client needs and inform strategic planning.

More from this Company

Development of Telemedicine Platform for Affordable Healthcare Delivery
Global VOD Service Implementation with AWS Scalability and Optimized Video Delivery
Scalable Banking Platform Modernization with Microservices Architecture
Cloud Migration and Infrastructure Modernization for Scalable Application Deployment
AWS-Based Data Aggregation and Migration Platform for Logistics Data Management