Data Architecture

Trasforming Data into Strategic Assets

At DaisyLabs, we specialize in designing, managing, and optimizing data architectures tailored to meet our clients’ unique needs.
Our strategic approach is driven by the application of standards, models, risks and security policies that ensure data is collected, stored, managed, and utilized in a secure and consistent manner.

Our Core Competences

Data Modeling: We structure data logic and relationships to ensure data integrity and consistency.
Data Governance: We establish policies to uphold data quality and security.
Data Integration: We collect and combine data from different sources to provide a comprehensive and unified view.
Data Storage: We manage data storage to ensure its accessibility and reliability.
Data Security: We safeguard data against unauthorized access and potential threats.
Data Analysis: We transform data into actionable insights to facilitate strategic decision-making.

Benefits for your organization

Operational Efficiency: We streamline business processes to reduce time and costs.
Informed Decision-Making: We provide accurate and timely informational support to guide strategic decisions.
Security and Compliance: We ensure data protection and compliance to regulations.
Innovation and Scalability: We facilitate quick adaptation to emerging technologies and market demands

How we operate

Initial Assessment: We conduct a thorough analysis of your current data state.
Goal Definition: We set clear objectives in line with your business strategies.
Design: We develop a detailed plan incorporating data models and governance policies.
Implementation: We execute the plan and provide training to ensure effective data utilization.
Solution Maintenance: We support users when your solution in online, with continuous updating, analyzing, modifying, and re-evaluating the solution throughout its lifecycle.

Explore how our data architecture services can elevate your business

Get Inspired. Our Client’s Success Stories.

Take a look at some of our case studies in Data Architecture and see the results we have helped to achieve.

Public Transportation
Advertising & Media

Public Transportation

Transforming Public Transportation Through Data-Driven Innovation

Creation of a Unified Data Architecture

Ensure Data Integrity and Security

Data Analysis and Performance Monitoring

Comprehensive Data-Driven Solutions

The Client.
A leading provider of public transportation services, operating an extensive network that includes buses, trams, and subway lines on a national and international scale.

The Challenge.

Data Centralization: Consolidate various data sets related to transportation, electronic ticketing, and maintenance, into a unified system.
Data Quality: Improve data accuracy by eliminating inconsistencies and duplications in their data.
Planning and Optimization: Enhance maintenance planning process and establish Key Performance Indicators (KPIs) for effective service quality monitoring.

Our Solution.
DaisyLabs developed a comprehensive Analysis System, based on a unified architecture, to centralize operational and service data. We established governance policies to ensure data integrity, quality, and security, and used advanced business intelligence tools to monitor performance and enhance planning.

The Outcome.
The implementation of a robust data architecture revolutionized the client’s public transportation information management, providing a unified and accurate view of operations. This allowed for more efficient planning, more effective service monitoring, and a greater ability to respond to the dynamic needs of the city.

This case study demonstrates how a well-designed data strategy can significantly improve operational efficiency and service quality in a complex context like public transportation.

Advertising & Media

Transforming Digital Advertising: How DaisyLabs Optimized Data Management for Enhanced Campaign Performance

Integrate Data from Different Adv Platforms into a Centralized Data Management System

Ensure Campaign Effectiveness and Budget Optimization

Enhance Data Quality and Consistency with a Scalable Architecture

Enable Data Analysis with Interactive Dashboards and Detailed Reports

The Client.
A digital advertising agency managing campaigns for hundreds of clients worldwide faced significant challenges in data management. Fragmentation of information across various advertising channels (social media, search engines, display ads, etc.) and the lack of a unified view compromised campaign effectiveness and budget optimization.

The Challenge.

Data Fragmentation: Issues of data inconsistency and duplication compromised performance analysis.
Data Quality and Consistency: Improve data accuracy by eliminating inconsistencies and duplications in their data.
Reporting and Analysis: Report generation required considerable time and resources, limiting the ability to respond quickly to client needs.

Our Solution.
DaisyLabs implemented a centralized analytics system to aggregate and harmonize data from all advertising platforms. This was achieved by creating a scalable architecture that integrated all campaign data into a single centralized platform (DWH) through processes (ETL) designed to extract data from the various platforms. It also allowed the data to be transformed to ensure consistency and loaded into the DWH.
DaisyLabs also defined policies for the client that ensured data quality, security, and compliance.
In addition, the implementation of BI tools enabled data visualization, creation of interactive dashboards, and generation of detailed reports.

The Outcome.
The implementation of the Analysis System transformed the data management of the advertising agency, providing a solid foundation for campaign analysis and optimization, demonstrating how a well-designed DWH can significantly improve data quality, operational efficiency, and decision-making capability.