Our best-practise Enterprise Information Management (EIM) Framework
Data governance is the business foundation of data management - changing behaviour to ensure the delivery of trusted and valuable information.
We assist customers to create and enable practical data stewardship foundations to empower advanced analytics; reduce costs and deliver cost-effective solutions to regulatory challenges
Data governance ensures that the right people are involved at every step of the data management process - making decisions, understanding impact, supplying context, prioritising deliveries, and staying informed.
Data Quality ensures that data used for operations and for decision making is fit for purpose.
We help organisations ensure that data is of good quality irrispective of where it enters and how it flows through the enterprise.
Ultimately, high quality data reduces errors and rework, enables accurate planning and revenue enhancement, and is necessary to meet regulatory drivers
Master Data Management is a management discipline supported by technology that combines elements of data governance, data quality and data integration to ensure that the right master data is presented to the right applications at the right time.
We help you to design and govern your master data, identify and consolidate duplicates, and ensure consistent and high-quality master data across your enterprise
Our approach is based on a foundation of sound data governance and data quality to ensure that your master data management initiative is more than just an expensive data consolidation project.
Data Architecture is the technical foundation of Enterprise Information Management - allowing data management specialists to plan and design the technical platform to deliver on EIM and broader business requirements.
We have experience in the delivery of master data architectures, and provide training and support for a variety of disciplines, such as data modelling, that are core to data architecture
Data Modelling and Metadata Management are disciplines that provide context and documentation to data.
We support organisations to deliver governed metadata management that helps them to find and understand data, along with training and certification to build capacity in this emerging discipline.
Data Security protects enterprise information from malicious insiders and hackers
We help companies to define and manage the governance processes necessary to define data security requirements, automate processes and principles necessary to support GDPR, PoPIA and similar data privacy requirements, and protect sensitive data.
Our policy-driven approach to data security ensures the right access, to the right people, at the right time.
Data Integration combines data from multiple separate business systems into a single, unified platform (sometimes known as a single view of the truth)
We assist companies to define a data integration approach, deliver high-performance data integration and data preparation solutions, and provide data integration training and certification
Big Data is the analytics discipline that takes advantage of both structured and unstructured data to deliver previously unknown insights about your customers, your markets, your products and your infrastructure.
We assist companies with the critical challenges of governing the Big Data stack, data engineering ( delivering a quality data pipeline), and training and certification.
Data warehousing consolidates and stores data for high-performance trend reporting of (typically) historical data. Data warehouses store data to allow known questions to be answered quickly and efficiently.
We assist by helping organisations to document, find and secure data in the data warehouse, understand the lineage of data flowing into and through the warehouse; optimise the warehouse through the delivery of quality, high-performance data pipelines and training and certifying data warehousing specialists.
Increasingly, we provide solutions to modernise the data warehouse - particularly with a view on modern cloud platforms.
Business Intelligence and Analytics presents information for analysis and decision making
We help organisations enable secure self-service BI and DataOps and offer training and certification of BI Professionals
Data science uses statistical models, machine learning and AI to support decision making by predicting future trends and outcomes.
We help you to trust the results by ensuring the quality and lineage of the data underpinning your advanced analytics model, help your data scientists and decision-makers to find the data they need, and provide training and certification