The Data Point Modelling (DPM) method is a data-centric approach, defined by ISO 5116, used for organizing business terms and concepts hierarchically. It presents data in reporting scenarios derived from underlying legal requirements in a business-friendly and non-technical way.
In simpler terms, DPM helps businesses translate complex legal data requirements into reports that are easy to understand and use. It acts as a bridge between legal jargon and practical business application.
Key aspects of the DPM method:
- Data-Centric: It focuses on organizing data points and their relationships.
- Hierarchical Structure: It arranges business terms and concepts in a hierarchical order, making it easier to navigate and understand complex information.
- ISO 5116 Standard: It adheres to the ISO 5116 standard, ensuring consistency and interoperability.
- Business-Friendly: It presents data in a way that is easily understandable by business users, without requiring technical expertise.
- Reporting Focused: It's designed to support various reporting scenarios driven by legal requirements.
Why is DPM important?
- Improved Data Understanding: Helps business users understand complex data relationships.
- Simplified Reporting: Makes it easier to generate reports that meet legal requirements.
- Enhanced Communication: Facilitates communication between legal, technical, and business teams.
- Increased Efficiency: Streamlines data management and reporting processes.
- Regulatory Compliance: Helps organizations comply with legal and regulatory requirements.
Example Use Case:
Imagine a financial institution that needs to report certain transactions to regulatory authorities. These reporting requirements are often complex and defined in legal terms. DPM can be used to map these legal requirements to specific data elements within the institution's systems. This allows the institution to generate reports that are both accurate and compliant, while also being easy for business users to understand.
In summary, the DPM method provides a structured and standardized way to manage and present business data, especially when legal and regulatory requirements are involved. It acts as a translation layer between the technical aspects of data and the practical needs of business users.
