Geovani CapitalIntelligence, Investigation, Compliance and Training
GC-205 · Professional course

Financial Data Analytics, Dashboard Development and Intelligence Visualization

Financial intelligence functions increasingly depend on the ability to transform large and complex datasets into clear, timely and actionable information.

5 days Classroom, online or in-house QR-verified certificate Next intake 19 Oct 2026

Course overview

Financial intelligence functions increasingly depend on the ability to transform large and complex datasets into clear, timely and actionable information. Effective visualisation enables analysts and decision-makers to identify trends, anomalies, relationships, geographic concentrations and emerging financial crime risks more efficiently.

This Financial Data Analytics, Dashboard Development and Intelligence Visualization course is designed to develop practical capabilities in financial data analysis, dashboard development and analytical storytelling.

Participants will learn how to structure financial datasets, conduct exploratory analysis, identify meaningful indicators and develop interactive dashboards that support financial intelligence, AML monitoring, fraud detection and management decision-making.

The programme places emphasis on practical data preparation, analytical design, dashboard architecture, visualisation principles and intelligence communication.

What you will be able to do

  • Explain the principles of financial data analytics and intelligence visualisation
  • Prepare and structure financial datasets for analysis
  • Conduct exploratory analysis of financial information
  • Identify meaningful financial crime indicators and trends
  • Select appropriate visualisation techniques
  • Design effective financial crime dashboards
  • Develop transaction, entity and risk dashboards
  • Visualise relationships, trends and geographic patterns
  • Apply filtering, segmentation and drill-down concepts
  • Present complex financial information in an accessible format
  • Develop intelligence narratives from data visualisations
  • Apply quality-assurance principles to dashboards and analytical products

Who should attend

  • Financial intelligence analysts
  • Data analysts
  • Business intelligence professionals
  • AML analysts
  • Financial crime investigators
  • Risk professionals
  • Compliance officers
  • Internal auditors
  • Fraud analysts
  • Regulatory and supervisory personnel
  • Intelligence officers
  • Financial-sector data professionals
  • Managers responsible for financial crime analytics

Course outline

Day 1Financial Data Analytics Foundations

Topics

  • Principles of financial data analytics
  • Financial intelligence data sources
  • Transactional data
  • Customer and entity data
  • Account data
  • Geographic data
  • Data quality and validation
  • Data preparation
  • Data cleaning
  • Data transformation
  • Defining analytical questions
  • Developing financial crime indicators
  • Understanding analytical requirements
Day 2Financial Data Analysis and Kpi Development

Topics

  • Exploratory data analysis
  • Transaction volumes and values
  • Customer activity analysis
  • Account activity
  • Geographic distribution
  • Counterparty analysis
  • Time-series analysis
  • Trend identification
  • Outlier and exception analysis
  • Risk segmentation
  • Financial crime KPIs
  • Performance indicators
  • Developing meaningful analytical metrics
Day 3Data Visualisation and Dashboard Design

Topics

  • Principles of effective data visualisation
  • Choosing appropriate chart types
  • Tables and analytical summaries
  • Trend charts
  • Bar and distribution charts
  • Geographic visualisation
  • Network and relationship visualisation
  • Heat maps
  • KPI cards
  • Filters and drill-downs
  • Dashboard architecture
  • User-centred dashboard design
  • Avoiding misleading visualisations
Day 4Financial Crime Dashboard Development

Topics

  • Transaction-monitoring dashboards
  • STR/SAR analytical dashboards
  • Customer-risk dashboards
  • Entity and relationship dashboards
  • Fraud-risk dashboards
  • Geographic risk dashboards
  • Case-management dashboards
  • Intelligence production dashboards
  • Management dashboards
  • Interactive filtering
  • Segmentation
  • Drill-down analysis
  • Dashboard performance and usability
Practical exerciseParticipants design and develop a financial crime dashboard using a simulated dataset.
Day 5Intelligence Visualisation and Analytical Storytelling

Topics

  • Converting data into intelligence
  • Analytical storytelling
  • Developing data-driven narratives
  • Identifying significant findings
  • Visualising complex relationships
  • Combining multiple analytical views
  • Presenting trends and emerging risks
  • Executive-level visualisation
  • Intelligence briefing techniques
  • Dashboard quality assurance
  • Data integrity and analytical caveats
  • Maintaining dashboards
  • Measuring dashboard effectiveness
CapstoneParticipants develop a complete financial intelligence dashboard and deliver an analytical briefing based on the findings.

Fees are per participant in US dollars and cover tuition, course materials and your certificate. Travel and accommodation are not included.

19Oct

Pretoria, South Africa

GC-205 Guaranteed to run
19–23 Oct 2026 · 5 days
USD 1,500per participant · 5 days
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19Oct

Pretoria, South Africa

GC-205 Guaranteed to run
19–30 Oct 2026 · 10 days
USD 3,000per participant · 10 days
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26Oct

Nairobi, Kenya

GC-205 Guaranteed to run
26–30 Oct 2026 · 5 days
USD 1,500per participant · 5 days
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02Nov

Nairobi, Kenya

GC-205 Guaranteed to run
2–6 Nov 2026 · 5 days
USD 1,500per participant · 5 days
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02Nov

Mombasa, Kenya

GC-205 Guaranteed to run
2–13 Nov 2026 · 10 days
USD 3,000per participant · 10 days
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09Nov

Mombasa, Kenya

GC-205 Guaranteed to run
9–13 Nov 2026 · 5 days
USD 1,500per participant · 5 days
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16Nov

Kampala, Uganda

GC-205 Guaranteed to run
16–20 Nov 2026 · 5 days
USD 1,500per participant · 5 days
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16Nov

Kampala, Uganda

GC-205 Guaranteed to run
16–27 Nov 2026 · 10 days
USD 3,000per participant · 10 days
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