Expertise / Business Intelligence
Business Intelligence
Define the questions, measures and information flows that make reporting relevant to the business.
Discuss your requirements ↓Turn information into useful decisions
Understand the challenge.
Shape the way forward.
More dashboards do not automatically create shared understanding. Teams need agreed definitions, trusted data and a clear link between an indicator and the decision it should support.
We begin with your business objectives and current ways of working. Our advice remains independent of any obligation to recommend a particular software vendor.
How SCP can help
Focused support for your priorities.
- Identify decisions, user groups and reporting priorities.
- Define KPIs, calculation rules, ownership and source requirements.
- Design dashboards and exception views around real use cases.
- Review data quality and outline a reporting roadmap.
- Define measures for lead time, waiting, stock ageing, damage, write-offs and process variation so improvements can be tracked.
- Define end-to-end (E2E) visibility around the decisions teams need to make, with agreed data coverage, update frequency and exception ownership.
- Evaluate predictive planning and anticipatory inventory positioning, weighing potential service benefits against forecast error, excess stock and obsolescence risk.
- Clarify data sources and ownership for emissions reporting: Scope 1 covers direct emissions, Scope 2 purchased energy, and Scope 3 other upstream and downstream value-chain emissions.
- Use AI to support the development and testing of algorithms for complex business problems, combining machine learning, optimisation and business rules where appropriate.
- Frame forecasting, scheduling, inventory and resource-allocation problems around clear objectives, constraints and data; compare algorithm performance with a baseline and validate outputs with business users.
- Design agent-assisted workflows that combine forecasting and optimisation models with current operational data, explain exceptions and route recommended actions to the right decision-maker.
A useful starting point
Choose a recurring exception and ask what evidence the decision-maker needs. Design the measure and the response together, rather than starting with a chart.
Practical outputs
Make the work clear and usable.
The scope and deliverables are agreed around your engagement. Depending on your needs, these could include:
Data source and ownership model
Dashboard concepts and roadmap
Start a conversation
Let’s discuss business intelligence.
Share the challenge, the ambition or the question you are working through.