Data Architecture

Defining your organisational goals and strategy is challenging enough. For a data driven organisation it is common to update the data strategy as well.

The question is how to operationalise this strategy. That’s what we need architecture for. The data architecture in particular enables agility in responding to strategy changes. The data architecture is the common language, understanding and structure of the organisation. Making this explicit in data models, business terminology, business rules and data definitions enables the organisation to understand what needs to be changed how. The data management capabilities that come into play are put in our Enterprise Data Reference Architecture:

LeanData helps to improve the data layer of an organization as it is the glue between Business and IT. The most important part of Business and IT alignment is communication. The key question here is how to communicate between the two.

This is where LeanData provides different concepts that help obtaining value from data.

The ‘Enterprise Data Model‘ framework:

The Enterprise Data Model starts with the subject areas that provide an abstract total view of the organisation. Examples are products, customers, contracts, sales order, work order, invoices and employees. It enables you to see the key data components and where functional domains connect.