Business Analytics and Insights
Analytics that pays for itself — predictive modelling, segmentation, scoring and churn programmes built into a profitable business analytics practice.
Format
Classroom · Virtual
Upcoming sessions
Pick a session to applyADMISSIONS OPENThe programme
An analytics team that produces reports instead of profit is a cost centre wearing a data badge. This programme builds the analytical competencies behind a genuinely profitable business analytics project: predictive modelling, market segmentation methods, customer scoring and profiling models that deploy cleanly, and churn programmes that measurably limit defection. Participants work with the statistical concepts, analytical methods, software and tools of the trade — including text mining for unstructured data — and connect each to a commercial outcome: better market knowledge, effective cross-selling campaigns, and predictive projects that lead to higher profitability. The cohort works through how analytics integrates into a broader big data project and sharpens decision-making accuracy across the organisation.
What you will do
Who attends
- Product design and development teams
- Business and data analysts
- Marketing teams
- Loyalty, retention and customer management leads
Programme agenda
Built for the decisions no textbook prepares you for
I.Analytics that pays
- Creating a profitable business analytics project
- Methods and processes for an effective analytics implementation
- Analytics for better accuracy in decision-making
II.Models that predict
- Predictive modelling and valid predictive projects
- Market segmentation methods
- Customer scoring and profiling models
III.Keeping and growing customers
- Churn programmes that limit defection
- Effective cross-selling campaigns
- Value from customer and market knowledge
IV.Tools and technique
- Statistical analytics concepts
- Analytics software used to maximum effect
- Text mining for unstructured data
- Analytics inside a broader big data project
Frequently asked
What does the Business Analytics and Insights course cover?
It builds the competencies behind a genuinely profitable business analytics practice: predictive modelling, market segmentation methods, customer scoring and profiling models, and churn programmes that measurably limit defection. It also covers text mining for unstructured data and how analytics integrates into a broader big data project.
Who is the programme designed for?
Product design and development teams, business and data analysts, marketing teams, and loyalty, retention and customer management leads. Every method is connected to a commercial outcome — better market knowledge, effective cross-selling campaigns and predictive projects that lead to higher profitability — so it suits teams accountable for results as much as for analysis.
Can BIZENIUS deliver this analytics training in-house or in French?
Yes. BIZENIUS delivers the programme in English and French, and an in-house edition can be tailored to your data, tools and commercial priorities. Sessions run on a rolling calendar with dates confirmed on request, and fees and quotations are provided on enquiry.
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Knowledge transfer, emphasised throughout
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Take the brochure with you.
One request — the full agenda, the faculty and the next cohort dates, sent personally by the admissions team.