Why You Need This
- Allows organization to perform better conduct scenario tests and data impact analysis
- Enhance your organization Information management
- Enable Management to see risks before its occurs
- You can take proactive measure on point of risks and opportunities categorically.
How We Deliver
Standard and Principles of Data Architecture: Establish Standard and Principles of Data Architecture for Architecture Design, Management Approach and Decision Making.
Data Model
Conceptual: Set highest standard of data architecture hierarchy that groups together related data entities by subject area.
Logical: Describing all the entities for each subject area and their attributes, relationships at the detailed level including field lengths, data rules etc.
Physical: Ready for utilization within physical products and tools e.g. MDM / C 360
Data Dictionary: Categorical data entities by subject area
CRUD Matrices: Table that show link between Matrix of data and business processes and user roles.
Outcomes
Data Architecture has the following benefits:
- Availability of a map that charts your business' current data landscape that will aid in issue resolution, organizational impact assessment and scenario planning
- Set Benchmark of Data Management across the organization. Data standards to be used as a benchmark across the organization thereby enabling standardization
- Enable Standardized traceability Mechanism and tool for data footprint;
- Establish roadmap for Auditing in case of any change in data landscape due to business change.
- Establishes data ownership within the business, leading to improved data quality;
- Creates a better communication platform