Specialising in all aspects of data management, we support you in developing your organisation’s data assets to maximise the benefits they can bring.

Data Architecture

Data Architecture defines and designs the data needs of an organisation, by first understanding the organisation’s information requirements. An Enterprise Data Model (EDM) can be produced that uses a standard, common vocabulary to describe the organisation’s data assets (both current and future) and enables development and integration across the technology estate.

Typical deliverables of data architecture are Data models, taxonomies, metadata, data technology architecture, data integration and analytics patterns and standards.

Data Governance

Data Governance is the controlled management of data assets. It provides policies, standards and practices that protect the compliance, integrity and quality of data, and allows data-related issues to be managed to resolution.

Typical deliverables of data governance are policies, standards, metrics and reports, assurance, approvals and issue management and resolution.

Reference and Master Data Management

Reference and Master Data Management is the practice of controlling important, commonly used and shared data that is often frequently used across an organisation, and adds context to transactional or operational information. This data is sometimes called “authoritative” or a “golden record” as it is widely consumed, so needs to be trusted, re-used and able to support business intelligence across the information estate.

Typical deliverables of Reference and Master Data Management are requirements, data models, data definitions, data standards, data quality metrics, data catalogues and repositories.

Data Quality Management

Data Quality Management is the process and practice of ensuring that an organisation’s data can meet its business and information needs. The data quality should be measured, monitored and improved where necessary according to the organisation’s standards.

Typical deliverables of Data Quality Management are data quality standards, data quality metrics, data profiling, assessments and resolution plans.

Metadata Management

Metadata Management is the process and practice of ensuring that metadata is created, stored, used, integrated and controlled to support the organisation’s information needs.

Typical deliverables of Metadata Management are definitions, policies, models, repositories, management, monitoring and governance.

Data Reporting & Analytics

Data Reporting & Analytics is the provision of data to support business intelligence management, enable effective business analysis and decision making. The infrastructure and technology needed to support this activity often needs to draw on other areas of data management, to ensure that the business intelligence is consistent, accurate and of appropriate quality.

Typical deliverables of Data Reporting & Analytics are data models, data warehouses, data lakes, data marts, reports, dashboards, analytical applications, business intelligence architecture, BI and Analytics tools.

Specialising in all aspects of data management, we support you in developing your organisation’s data assets to maximise the benefits they can bring.

Data Architecture

Data Governance

Reference and Master Data Management

Data Quality Management

Metadata Management

Data Reporting & Analytics

Get in Touch

07732 001 005

info@toporchardconsulting.co.uk

Navigation

Services