Data Architecture and Modelling
SMS have a senior capability in the delivery of data architecture and
modelling services, our data management practice approaches and methodology have been developed to complement and support our range of enterprise services including:
SMS’s data architecture approaches utilise industry standard architectural frameworks including Zachmann and TOGAF, we have developed an integrated approach to work with:
Enterprise Architecture and Business Process Modelling activities to develop business integrated data models, definitions and views including modelling of Information Subject Areas and Business Logical Entities to align to business process and technology architectures.
Data Governance, Data Strategy and Data Quality initiatives to ensure there is a single enterprise definition of data, that this definition is documented, syndicated and applied appropriately. Data Quality initiatives will develop and monitor enterprise data business rules and quality.
Application Development initiatives to align business context with physical OLTP data model architecture to optimise data storage, quality, business workflow and transactional performance.
Data Warehouse solutions align multiple sources of transactional data to a business activity view optimised for analytics, reporting and mining of business trends and outcomes supporting business decision making. Data Architecture and Models must align to a consistent business definition to ensure the measures delivered add business value and appropriately support decision making.
Integration Services delivery through point-to-point, EAI or SOA integration architectures require a consistent and conformed business and technical definition of data being passed and validated in the integration packages. Data Modelling for integration is an often overlooked component of integration delivery and is a primary component required to drive effective integration requirements, governance and delivery.