Geovani CapitalIntelligence, Investigation, Compliance and Training
GC-202 · Professional course

Crypto Intelligence Analytics, Visualization and Intelligence Reporting

The complexity and volume of cryptocurrency transactions require specialised analytical approaches capable of converting blockchain data into meaningful intelligence.

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

Course overview

The complexity and volume of cryptocurrency transactions require specialised analytical approaches capable of converting blockchain data into meaningful intelligence. Cryptocurrency investigations may involve thousands of transactions, multiple wallet addresses, exchanges, intermediaries and blockchain networks.

This Crypto Intelligence Analytics, Visualization and Intelligence Reporting course focuses on the analytical interpretation and communication of cryptocurrency intelligence. Participants will learn how to organise blockchain transaction data, identify relationships, analyse transaction flows and develop visual representations of complex cryptocurrency activity.

The programme places particular emphasis on transaction-flow analysis, wallet relationship mapping, temporal analysis, network visualisation, investigative timelines and intelligence reporting. Participants will learn how to transform technically complex blockchain information into clear intelligence products suitable for investigators, analysts, regulators and decision-makers.

What you will be able to do

  • Structure cryptocurrency information for intelligence analysis
  • Analyse cryptocurrency transaction patterns and flows
  • Develop wallet and entity profiles
  • Identify relationships between cryptocurrency addresses
  • Conduct temporal and behavioural analysis
  • Map cryptocurrency transaction networks
  • Visualise complex blockchain relationships
  • Identify significant transaction clusters and patterns
  • Develop cryptocurrency investigation timelines
  • Distinguish analytical findings from assumptions
  • Produce structured crypto-intelligence reports
  • Present complex blockchain findings in a clear and accessible manner

Who should attend

  • Crypto intelligence analysts
  • Financial intelligence analysts
  • Blockchain investigators
  • Financial crime investigators
  • Cybercrime investigators
  • Intelligence officers
  • AML/CFT professionals
  • Compliance analysts
  • Regulatory investigators
  • Data analysts
  • Digital forensic professionals

Course outline

Day 1Cryptocurrency Data and Analytical Foundations

Topics

  • Sources of cryptocurrency intelligence
  • Blockchain transaction data
  • Wallet and address data
  • Transaction identifiers
  • Block information
  • Transaction timestamps
  • Inputs and outputs
  • Token transfers
  • Exchange-related data
  • Data structuring and preparation
  • Cryptocurrency analytical datasets
  • Identifying relevant analytical questions
Day 2Transaction and Behavioural Analysis

Topics

  • Transaction-flow analysis
  • Transaction sequencing
  • High-value transaction analysis
  • Frequency and velocity analysis
  • Wallet activity profiling
  • Inbound and outbound flows
  • Dormant and active wallets
  • Transaction concentration
  • Layering indicators
  • Rapid movement of funds
  • Cross-wallet movement
  • Cross-chain activity
  • Identifying unusual transaction behaviour
Day 3Network Analysis and Visualisation

Topics

  • Blockchain relationship analysis
  • Wallet-to-wallet relationships
  • Entity relationship mapping
  • Transaction networks
  • Network nodes and edges
  • Centrality and network significance
  • Clustering concepts
  • Identifying hubs and intermediary wallets
  • Network timelines
  • Graph-based visualisation
  • Building cryptocurrency transaction maps
  • Interpreting network visualisations
Practical exerciseDevelop a visual transaction network from a simulated cryptocurrency dataset.
Day 4Intelligence Visualisation and Analytical Storytelling

Topics

  • Developing investigative timelines
  • Transaction-flow diagrams
  • Entity relationship charts
  • Geographic and jurisdictional analysis
  • Transaction-volume visualisation
  • Network diagrams
  • Dashboard concepts
  • Selecting appropriate visualisations
  • Avoiding misleading visual representations
  • Linking visual findings to analytical conclusions
  • Presenting complex blockchain information to non-technical audiences
Day 5Cryptocurrency Intelligence Reporting

Topics

  • Structure of cryptocurrency intelligence reports
  • Executive summaries
  • Analytical findings
  • Transaction narratives
  • Wallet and entity profiles
  • Network findings
  • Confidence assessments
  • Analytical caveats
  • Evidence versus intelligence
  • Developing actionable intelligence leads
  • Report quality assurance
  • Intelligence briefing techniques
CapstoneParticipants analyse a simulated cryptocurrency network, develop visualisations and produce a structured intelligence report.

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-202 Guaranteed to run
19–23 Oct 2026 · 5 days
USD 1,500per participant · 5 days
Reserve a seat
19Oct

Pretoria, South Africa

GC-202 Guaranteed to run
19–30 Oct 2026 · 10 days
USD 3,000per participant · 10 days
Reserve a seat
26Oct

Nairobi, Kenya

GC-202 Guaranteed to run
26–30 Oct 2026 · 5 days
USD 1,500per participant · 5 days
Reserve a seat
02Nov

Nairobi, Kenya

GC-202 Guaranteed to run
2–6 Nov 2026 · 5 days
USD 1,500per participant · 5 days
Reserve a seat
02Nov

Mombasa, Kenya

GC-202 Guaranteed to run
2–13 Nov 2026 · 10 days
USD 3,000per participant · 10 days
Reserve a seat
09Nov

Mombasa, Kenya

GC-202 Guaranteed to run
9–13 Nov 2026 · 5 days
USD 1,500per participant · 5 days
Reserve a seat
16Nov

Kampala, Uganda

GC-202 Guaranteed to run
16–20 Nov 2026 · 5 days
USD 1,500per participant · 5 days
Reserve a seat
16Nov

Kampala, Uganda

GC-202 Guaranteed to run
16–27 Nov 2026 · 10 days
USD 3,000per participant · 10 days
Reserve a seat