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BIZENIUS

Data Storytelling: Numbers That Move Decisions

Analysis that does not change a decision is a hobby — the analyst’s real product is the argument, and the data is its evidence.

The programme

Organisations are full of good analysis that died in a crowded slide. This programme trains the last mile: shaping findings into one argument with a recommendation, instead of a tour of everything examined; visualisation craft — the chart chosen for the message, stripped of decoration, honest about uncertainty; the narrative structure executives actually follow — answer first, evidence behind, detail on request; and the room itself: presenting numbers under challenge, handling the executive who reads ahead, and closing on a decision. Participants rework a real analysis of their own during the programme; the transformation is usually visible by day two.

What you will do

Shape findings into one argument with a recommendation
Choose and strip charts so each carries exactly one message
Structure the story answer-first, with uncertainty stated honestly
Present numbers under challenge — and close on a decision

Who attends

Analysts and data scientists whose work must persuade; finance and risk staff presenting to committees; managers who commission and relay analysis; anyone whose charts reach executives.

Cohorts bring together board members, executives and the rising leaders behind them — kept deliberately small, so every seat is a peer’s.

Programme agenda

Built for the decisions no textbook prepares you for

I.From analysis to argument
  • The one-sentence finding: what changed, so what, now what
  • Killing the tour: everything examined is not everything shown
  • Uncertainty stated without burying the message
II.The visual craft
  • Chart choice by message: comparison, trend, distribution, flow
  • Stripping decoration: every pixel earns its place
  • Titles that state the finding, not the axis labels
III.The room
  • Answer-first structure for executives who read ahead
  • Numbers under challenge: defending method without defensiveness
  • Closing on the decision: the ask made explicit

Frequently asked

What will I actually work on during the programme?

A real analysis of your own. Participants rework it through the programme — the finding shaped into one argument with a recommendation, the charts stripped so each carries exactly one message, and the story restructured answer-first. The transformation is usually visible by day two.

Is this a data visualisation tools course?

No — it trains the last mile of analytics, not a software package: chart choice by message, decoration stripped, uncertainty stated honestly, and the narrative structure executives actually follow. The craft transfers to whatever tools your team already uses.

Who should attend?

Analysts and data scientists whose work must persuade, finance and risk staff presenting to committees, managers who commission and relay analysis, and anyone whose charts reach executives. It also trains the room itself: presenting numbers under challenge, handling the executive who reads ahead, and closing on a decision.

Is the course available in-house, and in which languages?

Yes — like every BIZENIUS programme, it is available in-house, tailored so participants work on your organisation’s own analyses and committee formats, and delivered in English and French. Sessions run on a rolling calendar, with dates confirmed on request, and fees and quotations are provided on enquiry.

Who teaches this

Practitioners, not presenters.

Led by practitioners who have built and run technology, data and AI capability inside institutions rather than presented it to them: heads of digital and product innovation in banks, data and AI leaders who have taken models into production under governance, and technology risk specialists who advise boards on what the estate can and cannot yet do.

What the bench brings

  • Analytics, business intelligence and data warehousing
  • Credit and enterprise decisioning with data
  • Financial modelling and advanced spreadsheet practice
  • Data governance and management
  • Executive communication and high-impact presentations
  • Negotiation and consultative influence

Where they have practised

Current and former practitioners — people who hold the seat today alongside those who have held it.

Sectors: Banking & financial services · Professional services · Technology & fintech · Oil & gas

Regions: Africa · the Middle East · Europe · Asia · the Americas

How they teach

  • Hands-on labs and worked data sets
  • Case studies of real implementations
  • Group design of business cases and journeys
  • Demonstrations judged by adoption and control
  • Knowledge checks and a personal action plan

Cohorts are kept small so every exercise is worked on the participants’ own situations — in person or live virtual.

The faculty profile for your cohort is sent with the full agenda and the next dates when you enquire.Request brochure →

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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.

Open the dossier →

Teams from these institutions train with BIZENIUS

  • Citi
  • Barclays
  • ExxonMobil
  • Total
  • Gazprom
  • Standard Bank
  • QNB
  • Crédit Agricole
  • Nedbank
  • Absa
  • Raiffeisen
  • Halliburton
  • Baker Hughes
  • ConocoPhillips
  • Ooredoo
  • National Bank of Kuwait
  • Kuwait Finance House
  • Bank Muscat
  • Bank Audi
  • SABB
  • Garanti BBVA
  • Ecobank
  • Arab Bank
  • National Bank of Egypt
  • ADIB
  • Access Bank
  • Afreximbank
  • Repsol
  • QNB ALAHLI
  • Stanbic Bank
  • Equity Group Holdings
  • KCB Bank
  • Lombard Odier
  • NOV
  • Weatherford
  • Subsea 7
  • Al Baraka
  • Banque Misr
  • Burgan Bank
  • Bank ABC

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