The Pharmaceutical Company business data model is a comprehensive business data listing of a typical pharmaceuticals manufacturer. The Pharmaceutical Company Manufacturer Business Data Model organizes data into the categories of Foundational, Transactional, and Informational Data. (You can consider it a data dictionary/data glossary or a business information model.)

The Pharmaceutical Company Business Data Model is not a full-fledged data model in the conventional data modeling sense as it lacks relationship mapping and all the attributes. However, it is a well-crafted business data dictionary/glossary organized into logical categories. As each enterprise is different, our business data model artifacts are a springboard accelerating time to value. It helps business architecture and data teams avoid the “Blank Slate” syndrome of starting from scratch.

Instead, with a pre-built and industry-specific business data model, business and data architects can quickly customize it to their unique needs and reduce painstaking whiteboarding sessions.

(Note: As the business data model is a digital deliverable, we do not accept returns or issue refunds. Please read the full product description and our terms before purchasing.)

Pharmaceutical Company Business Data Model Deliverables:

• Pharmaceutical industry-specific Business Data (Subject Areas and Data Entities) is categorized into Foundational, Transactional, and Informational Data. Each Data Entity features a short description. (Word Format.)
• A Handy eBook on Business Data Modeling, how to create, and leverage it in enterprise transformation.

Business Data Model Overview

A business data model is a business-friendly encapsulation of an organization’s data and is an essential part of business architecture. Cross-mapping business data with business capabilities, value streams, and systems/applications provides insights into data that powers and realizes the core components of business architecture. As one of the core elements of business architecture, it aids in transformation planning by providing a clear image of the current data structure, facilitating a smoother transition to a new operational state.

Data Categories

Business and data architects classify business data into foundational, transactional, and informational categories. Foundational data outlines primary entities (e.g., customers, employees, products), while transactional data emerge from daily operations like sales or interactions. Informational data, the processed and analyzed form of the former two, provides insights and supports decision-making.

Subject Areas and Data Entities

The data model further clarifies by defining subject areas and data entities. Subject areas are broad categories grouping related data (e.g., ‘customer data’), whereas data entities are specific data pieces within these areas (e.g., ‘customer name’). Defining these enhances understanding and simplifies data management and transformation planning.

Implications for Business Facets

The business data model offers value for various business aspects. It provides a holistic view of the data landscape from a business architecture perspective, enabling process design, redesign, and capability enablement. Process optimization identifies data flow bottlenecks, redundant processes, and potential automation points. Capability enablement means realizing capabilities through technology, people, process, and data. For transformation planning, it helps design the desired future state, while in data management, it aids in maintaining data integrity and designing databases. In analytics, it forms the basis for deriving meaningful insights.

Comparison with Other Data Models

While a business data model provides an overview of the data structure within an enterprise, other data models like conceptual, logical, physical, hierarchical, network, entity-relationship, and relational models delve into data structure specifics. Our business data model does not claim to be such an in-depth deliverable, or there is no relationship mapping. The business data model focuses on the ‘what’ and ‘why’ of data in a business context, laying the groundwork for other models, which focus on the ‘how’ of data storage and manipulation.

A well-designed business data model is a strategic tool supporting business architecture, transformation planning, and decision-making. Organizations can optimize processes, plan transformations, manage data effectively, and derive valuable insights by defining and categorizing data.

The Pharmaceutical Company Business Data Model deliverable results from the combined efforts of our business and data architects based on several consulting engagements. Please purchase it and customize it to your company’s needs.

Provisos:

• We cannot accept refunds or returns as the products are digital deliverables.
• Please realize that a generic set of deliverables may or may not be entirely applicable in some circumstances. You will need to customize to the unique needs of your company.
• We do not offer any implied or explicit warranties, and it is sold on an as-is basis.
• The sale does not include customization or implementation help.
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