Information Domain Portfolio
The Information Domain Portfolio is a high-level conceptual framework that categorizes and organizes information within an organization based on business domains. It clearly represents how information is grouped, managed, and utilized across the enterprise. It helps to ensure that information is consistently defined, easily accessible, and aligned with the organization's strategic goals. By creating an information domain model, businesses can enhance data governance, improve data quality, and facilitate better decision-making across the enterprise.
Data Quality Framework
The Data Quality Framework is an outline of the standards, processes, and metrics for ensuring the quality of data within an organization. It encompasses data quality dimensions such as accuracy, completeness, consistency, and reliability, and provides guidelines for data cleansing, validation, and monitoring. By implementing a robust data quality framework, organizations can maintain high-quality data that supports informed decision-making and operational efficiency.
Data Models and Database Schemas
Visual representations of data entities and their relationships, providing a clear structure for data storage and retrieval. Data models ensure consistency and support efficient data management.
Shrewd Data consultants are expert data modelers and database designers. The company has built starter libraries for focus industries: life insurance, financial services, and manufacturing. Examples include: user profile database, eCommerce Hub database, life insurance data lakehouse, and manufacturing data warehouse.
Dataflow Diagrams
The Dataflow Diagram visually depicts the movement of data moves through the system, highlighting data sources, processes, and destinations. These diagrams help in understanding and optimizing data processes.
Data Governance Framework
Policies, procedures, and standards for managing data assets, ensuring data integrity, security, and compliance. This framework provides guidelines for proper data handling and accountability.
Data Integration Architecture
A strategy for combining data from different sources, ensuring seamless data flow and consistency across the organization. This plan supports unified and comprehensive data access.