Strategic Consulting & Advisory
Data Architecture Modernization
The framework modernization that truly unlocks the full potential of your data.
Agile data managementScalability and flexibilityCentralized, cloud-based storageKey clients
Built for next-gen, data-driven enterprises that use data as a strategic asset
Fast digital transformation has left a host of organizations struggling with data silos and fragmented systems. The outdated, patched-together systems end up holding them back, permanently concerned about data quality and governance. And they quickly get tired of slow, inefficient data processing.
Data architecture modernization helps your organization become truly data-driven by revamping how you manage and analyze data. This means centralizing data storage, setting up strong data governance, and using the latest tech for data processing and analytics.
Our approach delivers faster, more accurate insights; it does so through eliminating data silos, ensuring your system is scalable, and improving data quality and security. This helps your team make better decisions, drive innovation, and leads you towards strategic growth.
Where does Solvership’s Data architecture modernization come in?
- Eliminating data silos and fragmentation that lead to data stored in isolated systems or formats, across different departments
- Ensuring the flexibility and scalability needed to accommodate the growing data volumes, diverse data types, and evolving business requirements
- Providing robust data quality management processes and governance frameworks address poor data quality, and improve data integrity and security
- Modernizing slow and inefficient data processing and analysis, which often relies on batch processing and outdated analytics tools
What our clients say
Orbico Group
The presence in 17 markets with more than 40 companies and strong growth in the last few years brought Orbico’s complexity to reporting, analysis, and business decision-making. The data needed to be standardized, consolidated, and enriched with additional analytical attributes, providing a stable platform for quality analysis and planning. For the implementation, we were looking for a reliable local partner who could bring added value to the project and implement it on the IBM platform.
