DataBase Architecture

Why Data Architecture? The absence of data governance standards is a critical failure point for enterprise data in applications such as ERP, CRM and analytics. Cost of managing data increases as data grows exponentially. Implementing these data governance best practices will reduce the risks and increase the trust in organizations.

1. Data Architecture and Data modeling

2. Enterprise Metadata management

3. Prospective data consumer requirement analysis

With these standards in place for a data architecture,

•   Will reduce the total cost of managing data to accommodate exponential growth

•   Ensure Data Quality

•   Ensure Data availability and reusability

•   Separation of Transactional and Reporting data stores

•   Developers approach the designs with an anticipation of downstream data consumption