From Fragmented Systems to a Unified Whole
The organisation was facing multiple challenges: data was stored across different systems and countries, making it difficult to gain a complete overview. Existing ETL pipelines were outdated and difficult to scale, and the need for stronger data governance and regulatory compliance was substantial. Consid was tasked with designing and implementing a central platform that could consolidate all data, create structure and lay the foundation for long-term sustainability.
A Modern, AI-Ready Data Platform
Consid carried out a comprehensive data platform project that combined strategy and technology. The work included needs analysis, advisory support and the development of a new data architecture with a unified data model. Using Azure Data Factory, Databricks and dbt Cloud, ETL processes were automated for faster and more secure handling. Clear governance principles and a management strategy were also introduced to ensure data quality and regulatory compliance. In addition, the platform was made AI-ready, enabling future use of predictive analytics and more intelligent decision support.
