Customer is the focal point of every business or service organization.
Past and present information about customers is critical for targeting and developing products and services, identifying trends and predicting the future customer base and their requirements.
It is these three elements of customer, product and order/transaction that are critical to every organization and without which they cannot develop a cohesive data architecture.
An enterprise-wide view of customer needs to incorporate two distinct and different types of customers:
Each of these types of customers have different attributes, characteristics, data and marketing objectives.
The Legal Entity Customer data model focuses upon the legally-defined or 'non-human' type of customer such as corporations, companies, partnerships and government organizations.
Legal entity customers have common characteristics and a well-defined, dependable volume of standardized data provided by third-party sources such as Dun and Bradstreet. This data can be applied discretely or combined to provide a broader view of the legal entity customer via analytic techniques.
D&B Metrics | Suits |
Payment Ratings | Liens |
Corporate Relationships | Judgements |
Financial Profile | Legal Form |
Credit Risk | Tax Status |
Stability Scoring | Legal Residency |
Credit Scoring |
The planning, structuring and accumulation of this data requires data models that apply industry best practices, incorporate real-world/third party data and a knowledge of how the business and industry use and interpret data.
This is the where data models are critical for understanding 'legal entity customer'. It is the best-practice data model that provides the representation or 'picture' of that data, its relationships and structure.
In practice developing a comprehensive view of customer requires the integration of existing/legacy data, third-party data and new dimensions of customer previously not considered or implemented.
The Legal Entity Customer model draws upon 25 years of experience dealing with legal entity customers across a variety of industries and integrates third-party data to provide a data architecture establishing a comprehensive view of legal entity customer.
The Legal Entity Customer data model can be seamlessly integrated with other ADRM Software models such as Individual Customer Credit & Collections, Individual Customer, Legal Entity Customer Credit & Collections, Customer Service, and Marketing & Advertising.