Advanced analytics services use statistics, machine learning and forecasting to explain why things happen and predict what will happen next, such as which customers may leave, how much stock you will need or which price works best, so decisions are based on evidence rather than instinct.
Traditional reports explain what happened. Advanced analytics explains why, predicts what will happen next and recommends what to do about it. We apply statistical modelling, experimentation and optimisation to help you price, plan and target with confidence.
Move beyond reports to predictive and prescriptive decision-making. At Prominent AI Services LLP, we deliver advanced analytics services end to end, from discovery and data preparation to deployment, monitoring and support, so your teams get dependable results quickly and securely.
Move beyond reports to predictive and prescriptive decision-making.
Ideal for: Manufacturing, Telecom, Insurance, Hospitality. We begin by mapping data sources and business questions, then design a scalable architecture, automate data quality checks and deliver analysis and dashboards in short iterations with business users involved throughout.
We use regression, classification, clustering, time-series forecasting, survival analysis and optimisation, chosen to fit the question and the data. Work is done in Python (pandas, scikit-learn, statsmodels, XGBoost) and SQL, on platforms such as Microsoft Fabric, Databricks and Azure. Results are delivered as reports, scores written back to your systems, or interactive dashboards.
Choose a fixed-scope analytics project, or hire data scientists and data analysts to join your team. When a model needs to run in production, see custom machine learning development.
Have a question your reports cannot answer? Tell us about it, and we will suggest the right analysis and the data needed. Start your AI journey.
Common questions about our Advanced Analytics services.
Predictive analytics forecasts likely outcomes, while prescriptive analytics recommends the best action, often using optimisation or simulation.
Yes. We design experiments, calculate sample sizes and analyse results so decisions are based on statistically sound evidence.
Segmentation groups customers by behaviour and value, enabling targeted marketing, personalised offers and better resource allocation.
Cost depends on the number of data sources, the complexity of the question and whether results must run automatically in production. A focused analysis is a short, fixed-price project; ongoing forecasting is usually delivered as a managed service.
A focused analysis on prepared data often takes three to six weeks. Projects that need new data pipelines or production deployment take longer.
For seasonal forecasting, two or more years of history is ideal, but useful models can be built with less. We check your data first and tell you what accuracy is realistic.
No. We deliver results as dashboards, reports or scores inside your existing systems, with training so your team understands how to use them.
