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Smart Solutions: Data Analytics to
Support Fraud Investigations

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About me
Understanding data
Cleansing data
Data validation & enrichment
Importing data
Analyzing data
Reporting
Monitoring
Agenda
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Jörn Weber
Certified Fraud Investigator
19 years experience - German law
enforcement
since1999 Managing Partner at
corma GmbH:
Solution provider
Partner for corporate security
About me
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About corma GmbH
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Stops suspects by:
analytical investigations
operative investigations
Saves time by:
online research
online monitoring
Increases efficiency &
saves money by:
data analytics
global intelligence
solutions

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Data Modeling
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© corma GmbH

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Workflow
Understanding data
Cleansing / Standardizing data
Data validation & enrichment
Importing data
Analyzing data
Reporting
Monitoring
What are “Smart Solutions”?
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Understanding data
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 It is a challenge to understand data
 What kind of challenge?
 Data quantity
 Data access
 Data integration
 Understand relationships & background
 Bring data into context
Understanding data
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© Dan Roam

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 How does it work?
 In four steps
Understanding data
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© Dan Roam

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Look at the data:
Understanding data
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© Dan Roam

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See the pattern:
Understanding data
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© Dan Roam

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Imagine
Understanding data
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© Dan Roam

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Show – summaries your findings
Understanding data
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© Dan Roam

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Understanding data
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1. Chain of Custody
• Record all your steps
 Software: Hunchly https://www.hunch.ly/
 Plain document
• Store original data in a secure area
• Create “digital fingerprints”: MD5 Hash
• Work only with a copy of the original data
corma Workflow
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2. Identify data format
• Research
 http://www.file-extensions.org
 http://www.filext.com
 http://www.fileinfo.com
 .gpi
 .bqy
 .blb
Understanding data
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Garmin Point of Interest file
BrioQuery database file
ACT! database file

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2. Identify data format
• View (read only)
 http://www.uvviewsoft.com
Understanding data
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2. Identify data format
• Deep view (editable)
 http://www.ultraedit.com
Understanding data
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3. From raw data to smart structured data
Understanding data
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 Develop first ideas for analytical approach

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Understanding data
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Identified & understood data

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Understanding data
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First import & analytics

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Workflow
Understanding data
Cleansing / Standardizing data
Data validation & enrichment
Importing data
Analyzing data
Reporting
Monitoring
What are “Smart Solutions”?
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Challenges
 High data quality required for good
analysis results
 Constantly increasing data quantity
Cleansing/Standardizing data
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“Poor data quality” samples
Cleansing/Standardizing data
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Why should data be cleansed:
 Reliable analysis results are required
 Saves time that otherwise would come
up during the analysis process
 Reduces unwanted deviations &
variations
 Identify entities (person, organization,
address)
 Insights often lead to further findings
Cleansing/Standardizing data
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Fast and flexible handling of large
quantities of data
Flexible import for various data sources
Intuitive research
Analyses, calculations, statistics
Business Intelligence
Ad-hoc reporting
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Solution

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 Combine different data formats
 Fix data quality issues
 Identify missing data
 Better link analysis results
 Application of different tools for
standardized data cleansing
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Solution

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Solution
Develop automated queries

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Benefits
Develop workflow for recurring
processes
Standardize processes (templates)
Benefits:
 Time saving
 Flexible
 Maximize effectiveness
 Team “compatibility”
 Easy to learn

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Workflow
Understanding data
Cleansing / Standardizing data
Data validation & enrichment
Importing data
Analyzing data
Reporting
Monitoring
What are “Smart Solutions”?
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Imagine
Data validation & enrichment
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Geocoding: http://www.gpsvisualizer.com
Data validation & enrichment
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Geocoding: http://www.gpsvisualizer.com
Data validation & enrichment
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Geocoding: http://www.gpsvisualizer.com
Data validation & enrichment
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Whois (historical records)
Data validation & enrichment
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Relationships between Entities
Data validation & enrichment
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Visualization & link analysis
Data validation & enrichment
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Address verification – manually
Data validation & enrichment
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Address verification – service
provider or software for large amounts of
data
 AddressDoctor
http://www.addressdoctor.com
 Experian
http://www.qas-experian.com.au
Data validation & enrichment
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Workflow
Understanding data
Cleansing / Standardizing data
Data validation & enrichment
Importing data
Analyzing data
Reporting
Monitoring
What are “Smart Solutions”?
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Importing data
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Sample import: i2 IBM-Database

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Case study:
Insurance claims audit

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Workflow
Understanding data
Cleansing / Standardizing data
Data validation & enrichment
Importing data
Analyzing data
Reporting
Monitoring
What are “Smart Solutions”?
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Analytics … yes … but structured:
 Identify needed analytical steps
 Develop „questions“ to data
 What has prompted the need for the
analysis?
 What is the key question that needs to be
answered?
 „Create“ evidence out of data
 What can you prove?
 What do you want to prove?
 Visualize your thinking!
Analyzing data
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Analytical techniques
 Chronologies and timelines (understand
timing and sequence of events)
 Sorting (categorizing & hypothesis
generation)
 Ranking, scoring, prioritizing (determine
which items are most important)
 Network analysis – analyze relationships
between entities (people, organizations,
objects)
Analyzing data
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Supporting tools:
 Documenting processes in intranet/wiki
 Select the right tool for each task
 Train the users
 Keep the users “busy”
Analyzing data
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Query - an investigative question,
converted into database search
Analysis Sample: i2 IBM
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How many organizations are known at
this address?
Analysis Sample: i2 IBM
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Analysis Sample (InfoZoom)
Decoding (classification, i.e. phone data)

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Email analysis with Intella

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Timelinemaker
i2 IBM Analyst‘s Notebook
Timeline Charts

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Classic view: Event log
View: Event log Explorer
Windows event log analysis

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Windows event log analysis

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Workflow
Understanding data
Cleansing / Standardizing data
Data validation & enrichment
Importing data
Analyzing data
Reporting
Monitoring
What are “Smart Solutions”?
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Final works starts when single
components are ready
Reporting
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Reporting
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Workflow
Understanding data
Cleansing / Standardizing data
Data validation & enrichment
Importing data
Analyzing data
Reporting
Monitoring
What are “Smart Solutions”?
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Proactively maintain a high, consistent
standard of data quality
Monitoring
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Jörn Weber - jw@corma.de
+49 (162) 1009402
corma GmbH · Hochstr. 2 · D-41379 Brüggen·
Tel: +49 2163 349 0080 · E-Mail: mail@corma.de · Web: www.corma.de
Thank you!