A data discovery employs a combination of quantitative and qualitative techniques to help organisations identify, understand and visualise the knowledge assets that make up their enterprise data management landscape. A data discovery is a critical first step for organisations embarking upon a strategic journey to better manage, govern and exploit data and digital technology.
We combine user research methodologies with system and data architecture expertise to develop an ontology-based conceptual data model that enables organisations to easily visualise and semantically query business-critical knowledge assets across their enterprise data management landscape. The ontology maps business-critical data assets along with linked dependencies such as IT systems, people, business services and processes, in preparation for developing a more complete common data model.
A common data model (CDM) provides a common language that semantically describes an organisation's enterprise data management landscape, and which can be shared and universally understood between users and digital systems alike. A CDM enables seamless data and information exchange between different applications by providing a uniform set of metadata and standardised & extensible data schemas including entities, attributes and relationships. Once in place, access to and operations on data are governed by the CDM so that all users and applications use the same standardised procedures.
We use the ontology-based conceptual data model developed during the data discovery phase to inform and govern the subsequent development of logical data models (describing how data is logically structured) and physical data models (describing how data is organised and managed in specific systems), including schema definition files, reference data files and metadata catalogues, that together form the common data model. By enforcing the linkage from the ontology to all subsequent data artefacts, we ensure that every piece of data is well-defined and related to an understood business entity or concept.
A common data platform (CDP) is a complete end-to-end enterprise-grade solution for ingesting, processing, analysing and managing structured and unstructured data. Data may be ingested from and consumed by users and digital systems anywhere in the world in real-time, with in-built enterprise-grade security & monitoring, governance & administration tooling, scalability, high availability and high performance. Common data platforms are elastic and cost-effective, and can automatically scale and optimise costs as your storage and compute requirements change.
We take a microservice-oriented architectural approach when designing services to be deployed to common data platforms, baselined against reference architecture and industry standards and guided by the principles of interoperability and reusability. Above all else, we strongly believe in being vendor-agnostic thus we design and build data-driven digital services using open standards and open frameworks agnostic of the target deployment environment. This means that the services we build can be seamlessly deployed to on-premise, public cloud (such as Amazon Web Services, Microsoft Azure or Google Cloud Platform), hybrid-cloud and/or multi-cloud environments with equal ease, thus significantly reducing the risks and costs associated with platform implementation. Furthermore, access to and operations on data managed by the CDP are governed by the common data model, thus providing standardisation and effective data governance.