DISCOVER UNDERSTAND EVOLVE Presenting a use case taking unstructured data into OCR, Entity Extraction, Case Management and simple to use Visualisations.

2. Making Sense of the Chaos of Data

3. Steve Bradbury – Head of Fraud and Data Division
• Over 25 Years in Data
• Fraud/ Risk experience since 1992
• Fraud experience gained at American express (12 years), HSBC (5 years), Thomas cook (5 years) Consultancy (5 years)
• Roles – Head of Fraud, Chief Data Scientist, Head of Data and MIS EMEA, Senior Technical Manager, Fraud Investigator
• SME ACROSS INVESTIGATION/ INSIGHT ENGAGEMENTS SPECIALISING IN
FRAUD, DATA KNOWLEDGE, INSIGHT AND ANALYSIS, LEADERSHIP, CLIENT
FACING DEMONSTRATIONS/ ENGAGEMENT, ASSET TRACING, CORRUPTION,
LAW ENFORCEMENT, DATA ENRICHMENT, TECHNOLOGY.
• DEVELOPED SOCIAL MEDIA INSIGHT AND REPORTING ACROSS CRIMINAL
AND TERRORISM NETWORKS USING CUTTING EDGE TECHNOLOGIES.
• RESEARCHED, PROPOSED AND DELIVERED INNOVATIVE TECHNICAL
SOLUTIONS.
• MULTIPLE GEOGRAPHICAL AND INDUSTRY EXPERIENCED – CARD, BANKING,
RETAIL, ONLINE GAMING, LAW ENFORCEMENT, GOVERNMENT,
INSURANCE, TELECOMS, DARK WEB, NATIONAL TRADING STANDARDS
SCAM CHAMPION, 419’S
• SUCCESSFUL INVESTIGATION OF LARGEST CARD FRAUD CASE IN
EUROPE (SEE MY SESSION AT 1500 IN THIS ROOM)
• DESIGN AND DELIVERY OF GLOBAL AML/ RISK REPORTING
• DESIGN AND ROLL OUT OF EUROPEAN FRAUD DECS
• REDESIGNED ALL FRAUD REPORTING FROM ANTIQUATED
MAINFRAME TO SQL
• DELIVER EXTENSIVE BI PROJECT TO AMEX JV (HARDWARE,
SOFTWARE, PEOPLE, REPORTING, DATA FEEDS)
• CREATED FIRST OF ITS KIND CUSTOMER CRISIS RECOVERY
PROGRAM

4. Agenda
• DISCOVER
• UNDERSTAND
• EVOLVE
• SOME DATA STATS I’M TRYING TO SHARE IN JUST 30 MINUTES.

5. Discover
• OBVIOUSLY THE FIRST PART OF ANY BI ANALYTICS PROJECT IS UNDERSTANDING WHAT THE BUSINESS
OBJECTIVE IS AND WHAT DOES SUCCESS LOOK LIKE.
• SECOND TO THIS IS THE DISCOVERY PHASE –
• WHAT DATA DO YOU HAVE?
• WHAT TECHNOLOGY WILL YOU USE?
• WHAT DO YOU NEED TO KNOW ABOUT THE DATA.
CASE STUDY
ONE THE LARGEST EUROPEAN TRAVEL AGENCIES WENT INTO ADMINISTRATION.
• THE DATA –
• 26 COMPLETE PC DUMPS – 3.2TB OF DATA
• 14 FILING CABINETS

6. Discover
FIRSTLY WE NEED TO SEE WHAT THE 3.2TB OF DATA CONTAINS
THE RESULT -
1.7TB OF PERSONAL DATA – MUSIC, PHOTO’S, ETC
SEVERAL THOUSAND PROTECTED FILES
THIS LEAVES US 2.5TB OF DATA AND 14 FILING CABINETS OF
HARD COPY DATA

7. Discover
CRACK IT AND OCR
ONCE WE CRACKED THE POTENTIALLY USEFUL FILES WE USED
OPTIMAL CHARACTER RECOGNITION TOOLS TO IMPORT ALL THE
DATA INTO A SINGLE PLATFORM.
WORKING CLOSELY WITH THE ADMINISTRATORS WE GAINED
KNOWLEDGE OF THE BUSINESS, THE KEY PLAYERS, WHAT CAUSED
THE FINANCIAL ISSUE, AND REVISITED THE BUSINESS GOALS.

8. Understand
SEARCH THE DATA
USING KEY WORDS AND PHRASES WE UNDERTOOK ENTITY
EXTRACTION TO AID THE INVESTIGATION.
WORKING CLOSELY WITH THE ADMINISTRATORS WE GAINED
KNOWLEDGE OF THE BUSINESS, THE KEY PLAYERS, WHAT
CAUSED THE FINANCIAL ISSUE, AND REVISITED THE BUSINESS
GOALS.
ONCE INGESTED SEARCHING ACROSS THE DATA AIDS
INVESTIGATION AND ANALYSIS.
ONCE LEADS ARE FOUND CASE FILE CREATION STORES LEADS
AND DRIVES FURTHER INVESTIGATIONS.
IN THIS INSTANCE SOME 40 CASE FILES WERE CREATED.

9. Evolve
VISUAL THE DATA
USING CASE FILES AND VISUALISATION SEARCHES
ALLOWS INVESTIGATORS TO CLEARLY SEE DATA IN A
NON TECHNICAL ENVIRONMENT.

10. Evolve
THE RESULT
THROUGH THIS INVESTIGATION INTO THIS LARGELY FAMILY RUN TRAVEL AGENCIES MILLIONS OF EURO’S OF ASSETS WERE UNCOVERED.
THE TRAVEL AGENCY WAS REMOVED FROM ADMINISTRATION AND ALL DEBTS WERE SETTLED.
PRESENTING THE DATA IN SIMPLE TO UNDERSTAND VISUALISATIONS WITH THE ABILITY TO EMPOWER A NON TECHNICAL AUDIENCE
WITH KEY BI SAVED THIS COMPANY AND PREVENTED MULTIPLE CLIENTS AND COMPANIES LOSING MILLIONS OF EURO’S.
DATED TECHNOLOGY WAS REPLACED AND STRICT CONTROLS AND BUSINESS RULES WERE APPLIED.
THE COMPANY IS STILL SUCCESSFULLY TRADING TODAY.

11. The Dark Web – Its not that scary
– THE DEEP WEB CONTAINS 7500 TERABYTES OF INFORMATION. THE SURFACE WEB, IN
COMPARISON, CONTAINS 19 TERABYTES OF CONTENT.
– MORE THAN 200,000 DEEP WEB SITES CURRENTLY EXIST.
– TOGETHER, THE 60 LARGEST DEEP WEB SITES CONTAIN AROUND 750 TERABYTES OF DATA,
SURPASSING THE SIZE OF THE ENTIRE SURFACE WEB 40 TIMES.
– THE TOTAL QUALITY OF THE DEEP WEB IS 1,000 TO 2,000 TIMES GREATER THAN THE
QUALITY OF THE SURFACE WEB.
– 550 BILLION INDIVIDUAL DOCUMENTS CAN BE FOUND ON THE DEEP WEB COMPARED TO
THE SURFACE WEB’S 1 BILLION INDIVIDUAL DOCUMENTS.
– 95% OF THE DEEP WEB IS PUBLICLY ACCESSIBLE, MEANING NO FEES OR SUBSCRIPTIONS.
Source - https://hewilson.wordpress.com/what-is-the-deep-web/statistics/

12. UK Social Data Stats
39+ MILLION USERS
20+ MILLION USERS
21+ MILLION USERS
14+ MILLION USERS
65+ MILLION PEOPLE – 60+ MILLION INTERNET USERS

13. Evolve
THE FUTURE
• DATA ENRICHMENT IS A KEY PART OF ANY DATA
INVESTIGATION.
• SOCIAL DATA IS GROWING EXPONENTIALLY YEAR ON
YEAR.
• IT IS ESTIMATED ONLY 5% OF SCAM VICTIMS TELL THEIR
BANK WHILE 75% TALK ABOUT IT ON SOCIAL MEDIA.
• SOCIAL MEDIA IS KEY TO BUILDING KYC.
• OPEN SOURCE SUCH AS COMPANIES HOUSE IS ALL
INGESTIBLE TO ENRICH YOUR DATASETS.
IF YOU DON’T LOOK AFTER YOUR CUSTOMERS
SOMEONE ELSE WILL.

14. Come and Say Hello
PLEASE COME AND VISIT US AT OUR BOOTH
TALK TO US ABOUT -
- THE GRSC DATA PLATFORM
- FRAUD
- ANALYTICS
- AML/ KYC
- SOCIAL MEDIA ANALYTICS
- THE DARK WEB
- COMPLIANCE
JOIN ME AT 1500 IN THIS ROOM FOR A 30 MINUTE TAKE AWAY SESSION WITH SOME COOL FRAUD STUFF THROWN IN

15. I WELCOME YOUR QUESTIONS