Workforce capacity & skills
Explore team workload, working-time patterns, skills coverage and development needs by connecting people and project data in a scoped analytical solution.
Invest in the knowledge already inside your business. Turn scattered data into measurable insights, uncover connections you never imagined and make your next decision with evidence.
Connect information across teams, projects and customer touchpoints. Explore where analytical questions can lead, then build the right data connections and models for your business.
Your business already holds valuable answers. Bring its data together and discover what you could measure, understand and improve.
Explore in detail →Discover how your teams work, where capacity is stretched and which skills your next projects will need.
Explore in detail →Connect time, cost, delivery and customer context to understand what is really moving a project forward.
Explore in detail →Discover who returns, what changes in their behaviour and where a stronger relationship could begin.
Explore in detail →Go beyond the bestseller list. Understand demand, product relationships and the commercial context behind each result.
Explore in detail →Discover what brings customers to you, what helps them buy and what makes them return.
Explore in detail →Move beyond a static answer. Follow the evidence from a business question to a segment, a trend, a model and a better next question.
Explore in detail →Start with the overview. Move into a customer, product group or time period. Keep the definition and source behind the metric within reach.
Explore in detail →Complex records need a clear analytical path. Bring cohorts, encounters, observations and data quality into a view that supports careful investigation.
Explore in detail →A useful insight should not disappear in a dashboard. Define what to watch, what changed, who should review it and what happens after approval.
Explore in detail →Explore analytical interfaces, business dashboards and AI conversations. The application captures use synthetic demonstration data.
The conversational analyst works with permitted data and read-only analytical tools. The model catalogue includes demand forecasting, payment and cash-flow signals, customer churn and value, segmentation, recommendations, anomalies and basket associations. Model output is identified as an estimate and includes context for review. Saved analyses can be rerun to track changes; messages and write actions require separately configured integrations.
Explore in detail ↗Connect catalogue, orders, product availability and customer history to understand online demand. Where tracking and source coverage permit, extend the investigation to conversion steps, abandoned baskets, acquisition channels and campaign contribution. Explore complementary purchases, repeat-order timing and price position. Review attribution limits and data freshness before treating an apparent opportunity as a proven result.
Explore in detail ↗Twelve industry perspectives on the value of connected data. Explore the signals, relationships and opportunities worth investigating.
Understand what sells, where it sells and which stock is tying up working capital.
Explore in detail ↗Connect the customer's next order with availability, account history and collection priorities.
Explore in detail ↗Connect the promise to the customer with materials, operations and the work in progress.
Explore in detail ↗Follow a block, slab or custom product through dimensions, consumption and production.
Explore in detail ↗Make complex cohorts and timelines easier to investigate without losing the source context.
Explore in detail ↗Connect the ledger, open invoices and commercial activity to understand the cash picture.
Explore in detail ↗See where stock is, how it moved and what is preventing the next delivery.
Explore in detail ↗Connect customers, work, people and invoices across the full engagement.
Explore in detail ↗Bring operational records, maintenance resources and purchasing into a connected review.
Explore in detail ↗Connect procurement, resources and reporting with a clear documentary trail.
Explore in detail ↗Connect purchasing, stock and seasonal demand across locations.
Explore in detail ↗Connect online demand, product availability and market context to understand the full commercial picture.
Explore in detail ↗From understanding what happened to exploring why, anticipating change and identifying the next opportunity.
Explore team workload, working-time patterns, skills coverage and development needs by connecting people and project data in a scoped analytical solution.
Compare planned and actual effort, budget use, milestones and handovers. Investigate recurring delays and shared resource constraints across projects.
Explore customer trends, product groups, purchase rhythm, collection history, retention cohorts and reactivation opportunities from one analytical perspective.
Inspect product associations, support, confidence and lift. Find groups purchased by similar customers and missing from a target account.
Explore demand, collection, churn and customer-value models with model context. Compare forecasts with simple baselines and treat predictions as estimates.
Ask business questions through a read-only analytical assistant, follow the evidence and inspect supporting results within the configured access scope.
A hidden opportunity. A recurring cost. A change in customer behaviour. Invest in your data and turn the question that matters into an investigation you can act on.
Discuss your project ↗Email opens in your mail application. No message is sent automatically.Start with a decision you want to improve. We map the relevant data, define a measurable indicator, establish a baseline and test an initial analysis. The first useful insight becomes the foundation for the next step.
Yes. People, project, customer and product data can become new analytical use cases through the appropriate integrations and models. We agree the scope and validate the results with the people who understand the business.