Data modeling is critical for effective information management in organizations. It standardizes and captures essential enterprise information to build a foundation for designing information systems. Data modeling ensures a consistent data view and proactively identifies information-related issues for new and existing projects.
The most pressing challenges of data modeling are clarifying business requirements, maintaining data accuracy, handling complex data, and adapting to evolving business requirements. However, data modeling is neglected in modern platforms, leading to data integrity, extraction, and classification challenges.
This further results in data redundancy and increased time on storage and computation. Businesses can ensure successful data modeling by prioritizing collaboration, communication, stakeholder involvement, data governance, and ongoing documentation while complying with evolving trends.
Virtusa provides a comprehensive data modeling framework to address the analytical requirements of organizations.
Our deep expertise involves building traditional and modern data models on-premise and for cloud platforms. Virtusa’s data modeling process includes:
- Developing a robust business process model (BPM)
- Identifying entities like facts and dimensions
- Creating a BUS matrix to define the relationship between facts and dimensions
- Finalizing the logical and physical data structures
There are two approaches for data model implementation, each serving distinct purposes and catering to specific aspects of data processes.
These approaches are pivotal in enabling organizations to effectively manage information that seamlessly aligns with the business objectives and technical requirements. The two fundamental data modeling approaches are:
Top-down approach
- Develop a comprehensive enterprise-wide data model aligning with business requirements
- Requires a profound understanding of the organization’s specific domain
- Implement an approach that leaves no gaps in capturing essential data elements
- Embrace a broad and ambitious perspective
Bottom-up approach
- Create individual data models for each module specific to the business/functional requirements
- Develop a subset of the model built using the top-down approach
- Validate the dimensions and create an integrated data model
- Begin with a focused and incremental approach
Success stories
Virtusa brings together high-performing, highly collaborative teams that work across disciplines to explore strategies, tinker with technology and create beautifully useful designs. All to create the kind of innovation that truly impacts business.