BI / Analytics Consulting
Business Intelligence / Analytics Services
Our analysts provide the following strategic business intelligence consulting services to commercial enterprises.
- Executive engagement – BI / Machine Learning & business strategy
- Readiness assessment
- BI / Analytics strategy – people, processes and technology
- BI / Analytics review, gap analysis and roadmap
- BI / Analytics technology assessment, evaluation and selection
- Cloud BI / Analytics Strategy
- Data and Analytics Competency Centre (DACC) set-up – organisation, programme office and skills
- BI / Analytics project management and advisory
- Data science – machine learning, MLOps, graph analytics and reinforcement learning
- Data management for analytical systems
- Mergers and acquisition – merging and integration of multiple analytical systems
- Operational Analytics – strategy, design and implementation
- Streaming data and real-time predictive analytics and decision services
- Vertical industry Analytics – Insurance, Logistics, Telecoms, Banking, Retail, Airlines, Manufacturing
White Papers
- Finding Your Needles in a Haystack – Personalised Information Delivery for the Masses
- Managing Business Operations Using Event Driven Business Intelligence
- Active Intelligence for the Smart Business
- On-Demand Predictive Analytics – the Route to Intelligent Business
- Managing Business Operations Using Event Driven BI
- Improving Access to Data for Successful BI – Part 1, Part 2, Part 3
- Interactive Data Exploration Using a Context-Aware Analytics Engine
- BI Integration – Building the Real-Time Intelligent Enterprise
- A Model-Driven Approach to Integrated Analytics for:
- The Business Value of Kubernetes in an Analytical Environment
- IoT Analytics Architecture
- Edge Advanced Analytics
- Data Warehouse Automation and Real-time Data – Reducing Time to Value in a Distributed Analytical Environment
- An Analytical Platform for the Smart Enterprise
- Streaming Analytics and Embedded BI – the Route to Always on Smart Business Operations
Education
- Big Data Architecture & Technology for Analytics
- Centralised Data Governance of a Distributed Data Landscape
- Practical Guidelines for Implementing a Data Mesh
- Data Virtualisation and the Logical Data Warehouse
- Embedded Analytics, Intelligent Apps & AI Automation