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 · Live 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 telecom curriculum cover?
The commercial and leadership side of the operator business: telecom strategy, digital leadership, branding and customer engagement, customer focus, business analytics and big data for managers, and negotiation for technology deals. Participants leave able to build a segment strategy, read their own customer data critically, and close the deals that data supports.
Are the programmes aimed at commercial or technical teams?
Commercial and leadership teams first — strategy, marketing, customer experience and analytics leaders in operators moving beyond connectivity revenue. No network-engineering background is required; the programmes work on the decisions those teams own, not the equipment.
In which languages and formats do telecom programmes run?
English and French, delivered in the classroom, as live virtual cohorts or in hybrid format. Any programme can also run in-house for a single operator, tailored to its market and competitive position.
How do we apply for a telecom programme?
Apply for a seat or request the brochure from the programme page. A senior practitioner — the same kind of person who teaches — replies within one business day with the brochure, the dates, and the fee for your format. BIZENIUS takes no online payments; everything runs through that conversation.
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In their words
Knowledge transfer, emphasised throughout
“We worked with BIZENIUS for our Fresh Graduates Programme — they are simply amazing. Knowledge transfer and practical learning were emphasised throughout.”
Kuwait Investment Authority
From the Mandate Record
Mandate № 09 · East Africa
Five gaps, five fixes — the data that reset an SME strategy
The most disciplined credit book in the market had to become its most accessible. The data showed exactly how.
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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.