BUSINESS ANALYTICS
& DECISION INTELLIGENCE
Your business already produces the data. We turn it into analytics your teams read daily: dashboards and KPIs on how the business is performing, forecasts on where it is heading, and recommendations leaders can act on.
From Data to Decision
Data from the systems you already run, modelled once, then published as dashboards, KPI reporting and forecasts that finance, sales and operations use to decide.
Business Analytics Services
Our business analytics solutions group into five capabilities, each answering a business need rather than a technical one, on a data foundation that keeps them consistent.
Dashboards & Data Visualization
Teams lose the first half of every meeting agreeing on whose number is right. One dashboard per audience — executive, department, operational — built on shared definitions, so the discussion starts at what to do about the number.
KPI Tracking
Targets, actuals and variance tracked against the KPIs each team owns, with an alert when a measure moves outside its usual range, so performance is visible between reporting cycles.
Business Reporting
Recurring finance, sales and operations reports produced from one source instead of rebuilt by hand each month, with self-service access for the routine questions.
Predictive Analytics & Forecasting
Planning on last quarter’s numbers means reacting late. Predictive analytics solutions built on your own history — demand, revenue, churn, capacity — with what-if comparison, so plans are set against a range of likely outcomes rather than one guess.
Decision Intelligence
Insight only counts when someone acts on it. Analysis arrives with a recommended action and its trade-offs, so the decision can be made in the meeting where it was raised.
Trusted Data Foundation
Analytics is only as good as the data beneath it. We connect the systems you already run — CRM, ERP, finance, operational applications — into a modelled, governed data layer, so every dashboard, report and forecast above it agrees.
Business Analytics Use Cases
Where business analytics earns its keep, department by department. Each one states the problem, the analytics approach and the outcome.
Financial Performance
Finance rebuilds the same schedules by hand every close, and the business reads results weeks after the period they describe. We model revenue, cost and margin from the finance system once, then publish variance against plan by entity, product and cost centre.
- Variance visible during the period
- One set of numbers per entity
- Less manual work at every close
From Data to Decision
Five stages, each one feeding the next. No data science background required to follow it.
Data Collection
We connect the systems that already hold your business data — CRM, ERP, finance, operational tools — and bring it together on a schedule.
Nothing downstream works until the same data arrives reliably.
Analysis
That data is modelled into measures the business recognises: revenue, margin, pipeline, cycle time, headcount, attrition.
This is where definitions are agreed, so every later view counts things the same way.
Insights
The measures become dashboards and reports showing what happened, what changed, and what sits outside its normal range.
Performance and trends, in the language of the team reading them.
Recommendations
Each finding is paired with what it implies: which segment to prioritise, where capacity is short, which forecast to plan against.
Options arrive with their trade-offs attached, not as a chart to interpret.
Business Decision
The call is made by the people accountable for it, with the numbers and the options already in front of them.
What follows becomes data for the next cycle.
Outcomes We Work Towards
What an analytics engagement is built to produce. The size of each depends on your data, your systems and the decisions you are trying to improve, so we scope it with you rather than publishing a benchmark figure.
Faster Decisions
Leaders see performance without waiting for the next report.
Trusted Numbers
Shared definitions, so figures agree across teams.
Everyday Adoption
Dashboards teams open daily, not ones built then abandoned.
Time to Value
Delivered in phases, starting with the decisions that matter.
Our Business Intelligence and Analytics Toolkit
Azure
Secure Azure foundation for data.
AWS
Global AWS data and AI services.
Google Cloud Platform
Scalable GCP analytics and ML.
Related Solutions
Business analytics turns business data into KPIs, forecasts and recommendations for a decision. Three neighbouring offerings cover the ground either side of that.
Data & AI
The broader data and AI capability: data platforms, engineering and intelligent automation. If the question is how to build and run the data estate rather than what the numbers say, start there.
Explore Data & AIEnterprise Intelligence
Connects enterprise data, documents, knowledge and AI into one organisational picture. Business analytics answers with measures and forecasts; enterprise intelligence widens the question across the whole business.
Explore Enterprise IntelligenceAI Solutions
Custom AI applications and agents that act inside your workflows. Analytics tells you what to do; these are for automating the doing once the decision is settled.
Explore AI SolutionsLooking for advanced analytics?
You are on the right page. The deeper predictive and decision-intelligence work — forecasting models, scenario comparison, churn and capacity prediction — is part of this offering rather than a separate one. Industry-specific analytics is set out on the retail, fintech, manufacturing, healthcare and logistics pages.
Ready for Decision Intelligence?
Tell us which decisions are slow or contested today. We will align the KPIs, data models and dashboards to those decisions, then hand your teams something they use daily.