Geovani CapitalIntelligence, Investigation, Compliance and Training
GC-AR-801 · Professional course

Data Analytics and Business Intelligence for Recovered Asset Monitoring

An asset recovery data analytics course that shows finance teams how to clean, reconcile and analyse asset data to monitor and report recovered assets.

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

Course overview

Asset recovery agencies and asset management offices hold more data every year: seizure records, valuations, bank balances, rental income, disposal proceeds and court outcomes. Too often that data lives in separate spreadsheets that disagree with each other, so management cannot answer simple questions such as how much has been recovered, what it is worth today and what it costs to hold. This asset recovery data analytics course gives finance and monitoring staff the skills to fix that.

Participants learn to build a reliable asset dataset, reconcile it with the general ledger and case management records, and analyse it with Excel, Power Query and Power BI. The course covers data quality rules, exception reporting, ageing and holding-cost analysis, and simple indicators of performance for each asset class. Work is done on a realistic anonymised dataset of seized and forfeited assets, so every technique is practised on the kind of records participants manage at work.

The result is a team that can produce accurate, timely figures on recovered assets and spot problems such as missing assets, stale valuations or idle funds before an auditor does.

What you will be able to do

  • Design a single, consistent dataset for seized, frozen and forfeited assets
  • Apply data quality rules and resolve duplicates, gaps and inconsistent values
  • Reconcile asset records with case files, bank statements and the general ledger
  • Analyse asset ageing, holding costs and value changes by asset class
  • Build exception reports that flag missing, stale or high-risk records
  • Create interactive reports in Power BI for managers and boards
  • Interpret analytical results and explain them to non-specialists

Who should attend

Aimed at finance, monitoring and data staff in asset recovery and asset management bodies who work with asset records and want to analyse them with confidence. Working knowledge of Excel is expected.

  • Finance officers in asset recovery agencies
  • Asset management office staff
  • Monitoring and evaluation officers
  • Management accountants
  • Data and records officers
  • Internal auditors
  • Treasury officers managing recovered funds

Course outline

Day 1Asset Recovery Data Foundations

Topics

  • The data lifecycle from seizure to disposal
  • Core data fields for each asset class
  • Unique identifiers and linking keys
  • Common data problems in recovery agencies
  • Data ownership and stewardship
  • Confidentiality and access controls
Practical exerciseReviewing a sample asset register and listing its data quality failures.
Day 2Cleaning and Structuring Asset Data

Topics

  • Power Query for importing and shaping data
  • Standardising names, dates and currencies
  • Removing duplicates
  • Handling missing values
  • Lookup tables for asset classes and statuses
  • Documenting transformation steps
Practical exerciseTurning three inconsistent spreadsheets into one clean asset table.
Day 3Reconciliation and Exception Reporting

Topics

  • Reconciling the asset register with case records
  • Matching cash balances to bank statements
  • Linking disposal proceeds to the ledger
  • Exception rules and thresholds
  • Investigating unmatched items
  • Reconciliation sign-off
Practical exerciseReconciling a quarter's recovered funds and explaining every unmatched item.
Day 4Analysing Value, Cost and Performance

Topics

  • Ageing analysis of held assets
  • Holding and maintenance costs
  • Value erosion over time
  • Recovery rates by asset class and case type
  • Trend and variance analysis
  • Simple indicators for management
Practical exerciseShowing which asset classes lose the most value while awaiting a court decision.
Day 5Business Intelligence Reporting

Topics

  • Data models in Power BI
  • Measures and calculated columns
  • Designing management reports
  • Filters, drill-downs and security roles
  • Refreshing and versioning reports
  • Presenting insights to decision-makers
CapstoneBuilding and presenting a recovered asset monitoring report from the week's cleaned dataset.

Course outcome

Participants leave with a clean, reconciled asset dataset method and a working Power BI report they can adapt for their own institution.

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-AR-801 Guaranteed to run
19–23 Oct 2026 · 5 days
USD 1,500per participant · 5 days
Reserve a seat
19Oct

Pretoria, South Africa

GC-AR-801 Guaranteed to run
19–30 Oct 2026 · 10 days
USD 3,000per participant · 10 days
Reserve a seat
26Oct

Nairobi, Kenya

GC-AR-801 Guaranteed to run
26–30 Oct 2026 · 5 days
USD 1,500per participant · 5 days
Reserve a seat
02Nov

Nairobi, Kenya

GC-AR-801 Guaranteed to run
2–6 Nov 2026 · 5 days
USD 1,500per participant · 5 days
Reserve a seat
02Nov

Mombasa, Kenya

GC-AR-801 Guaranteed to run
2–13 Nov 2026 · 10 days
USD 3,000per participant · 10 days
Reserve a seat
09Nov

Mombasa, Kenya

GC-AR-801 Guaranteed to run
9–13 Nov 2026 · 5 days
USD 1,500per participant · 5 days
Reserve a seat
16Nov

Kampala, Uganda

GC-AR-801 Guaranteed to run
16–20 Nov 2026 · 5 days
USD 1,500per participant · 5 days
Reserve a seat
16Nov

Kampala, Uganda

GC-AR-801 Guaranteed to run
16–27 Nov 2026 · 10 days
USD 3,000per participant · 10 days
Reserve a seat