This document discusses Email-Brokers' process for collecting and qualifying web data. They scan over 4 million websites per month in France and Belgium. Their process involves 5 steps: 1) scanning the web, 2) checking and qualifying the data, 3) human checks, 4) final integration, and 5) ongoing monitoring and updates to ensure high quality data. Email-Brokers uses advanced tools and methodologies to standardize, qualify, and assign confidence levels to data to provide their clients with accurate and reliable business information.

1. WEB DATABASE ENGINEERING
EMAIL BROKERS 2015

2. 4,000,000 PROFESSIONAL WEBSITES SCREENED
EACH MONTH IN FRANCE AND BELGIUM
NEXT GENERATION DATA GIVES YOU ACCESS TO COMPANIES IN THE DOMAIN OF E-COMMERCE,
SOCIAL MEDIA PROFILES, TO THEIR PRESENCE AND INVESTMENTS ON THE WEB…

3. FUELLING THE MODERN ECONOMY
DATA
1. DATA IN
BUSINESS
2.
B-TO-B DATA
3. METHODS
AND TOOLS
4. QUALITY
GUARANTEE

4. YOU HAVE
PROBLEMS WITH DATA
Even if you don’t know it!
OBSERVATION: An alarming situation
ACCORDING TO PRICEWATERHOUSE COOPER
The majority of organisations do not assess the quality of
their data and the negative impact it could have on their
business
66% of companies do not have high levels of confidence in
their data

5. OF THIS POOR QUALITY DATA
CAUSES
 Multiple errors in manual entry
 No next generation data (URL – social networks– e-commerce - …)
 Poor data recovery
 Lack of validation of integrated data in management solutions
 Duplicates
 Natural ageing of data (2% per month)
 Relocation
 Bankruptcy
 Change of activity
 Legal, fiscal, financial changes...
 …

6. FOR THE COMPANY
IMPACT
 Expected benefits of projects in CRM, ERP, e-commerce,… overestimated
 No strategy on new methods of communication
 Inaccurate indicators from Business Intelligence
 Worsening quality of results as the data ages
ON FUNCTIONAL PROJECTS

7. FOR THE COMPANY
IMPACT
 Strategy level
 Poor decision-making
 Operational level
 Fall in profits and turnover
 Increased costs
 Unhappy customers
 Eroded potential for client loyalty
 Lower ROI
ON THE COMPANY’S MANAGEMENT

8. THE EXCLUSIVE FEATURES OF EMAIL-BROKERS
DATA AVAILABLE IN B-TO-B

9.  Contact details
 E-mail
 Activity code
 …
BEYOND TRADITIONAL DATA:
 Website
 E-commerce in practice and modalities
 Presence on social networks
 Web-based technologies
 Legal aspects: general conditions, privacy,….
EMAIL-BROKERS OFFERS SEVERAL EXCLUSIVE FEATURES:

10. France
Field Number of hits
url's 2087661
date and time of visit 2087661
Telephones 1212960
Mobiles 486763
Fax 601054
e-mails 2122333
Postal addresses 978 991
Postcodes 1750310
Data to the left of the postcode 984667
Data to the right of the postcode 984331
Towns 1390770
E-commerce index 167751
Siret company numbers 778342
Siren company numbers 937566
Facebook links 628426
Twitter links 351392
General conditions of sale 848729
Confidentiality 129847
Legal notice 646981
Contact link 1110507
Title 1714967
http header 1877621
Technology 1842858
Activity code 888671
Language(s) index/indices 1561376
Belgium
Field Number of hits
url's 509624
date and time of visit 509624
Telephones 277257
Mobiles 134005
Fax 198033
e-mails 498392
Postal addresses 371539
Postcodes 416334
Data to the left of the postcode 186111
Data to the right of the postcode 186216
Towns 385996
E-commerce index 4792
Company registration number 310652
Facebook links 149073
Twitter links 67662
General conditions of sale 19534
Confidentiality 29404
Legal notice 35778
Contact link 305589
Title 457357
http header 483342
Technology 492545
Activity code 276757
Language(s) index/indices 445517
DESCRIPTIONS OF URL DATABASES

11. DATA QUALIFICATION
OUR METHODS AND TOOLS

12.  Experience in the field of over 14 years
 Permanent investment of 4 to 8% of turnover in R&D
 Systematic human control processes
 Tailor-made solutions and tools
 Specific data qualification methodologies.
EMAIL-BROKERS LEADER IN WEB DATA MANAGEMENT,
BASED ON…
HOW DOES IT WORK?

13. 1. SCAN
THE WEB
2. CHECK
& QUALIFY
3. HUMAN
CHECK
4. INTEGRA-
TION
PRODUCTION
5. MONITORING & UPDATE

14. WEB DATA EXTRACTING
1. SCAN THE WEB
1. SCAN
THE WEB
2. CHECK
& QUALIFY
3. HUMAN
CHECK
4. INTEGRA-
TION
PRODUCTION
5. MONITORING & UPDATE

15. ANALYSING THE WEB INTELLIGENTLY
From its dedicated servers, with its specific algorithms, Email-Brokers collects billions of items of data each day and
structures them in its database. Email-Brokers also has the ability to modify its algorithms at any time to identify new
pieces of data.
There are many data mining solutions and very few of them are efficient. Email-Brokers has developed its own, which is made to measure, and
reflects the quality required.
This solution is designed to recognise official data but much more besides. Verifying data – such as details of a company’s headquarters, an activity
or telephone number -, needs context to be provided for the information being extracted and it also needs to provide more than is strictly
necessary.
The more you harvest and structure the information, the more markers you will have to verify the data that is ultimately being targeted.

16. EXAMPLE OF EXTRACTING CONTEXTUALISED DATA
How can you find out if a company practices e-commerce?
In B-to-B, for example, when there is no online payment where can one identify oneself on a client extranet?
Our algorithm scans the sites in search of over 90 markers for this single piece of information: secure pages, redirection towards payment solution,
search for specific key words on the pages or URLs, etc.
During the qualification phase, these 90 markers verify whether there is e-commerce, what type, what payment method, etc.

17. DATABASE AS A RESULT OF MINING
Exemple de base de données :
After this initial stage, Email-brokers has vast quantities of pre-sorted, still raw, non-qualified and non-standardised data at its disposal. This will be
processed during a second stage.

18. THE GENERATOR
2. CHECK, QUALIFY & STANDARDISE
1. SCAN
THE WEB
2. CHECK
& QUALIFY
3. HUMAN
CHECK
4. INTEGRA-
TION
PRODUCTION
5. MONITORING & UPDATE

19. LINKS AT THE HEART OF THE REACTOR
This application has been developed especially and operates outside of the web. It is structured around powerful algorithms
and exists to:
 Standardise data into a single format,
 Qualify data thanks in particular to the contextual information extracted,
 Attribute a confidence level to each piece of data.

20. LINKS IS INSPIRED BY THE MOST ADVANCED QUANTITIVE AND QUALITATIVE
DATA ANALYSIS METHODOLOGIES.
 Eliminate aberrant data
 Correct spelling errors
 Reduce bias
 Etc.
Example database:

21. EXAMPLE OF STANDARDISATION
For telephone numbers, all numbers are formatted according to a single format of the type 0033125496072.
The application will:
 Harmonise the 0033, +33, 02, 2,…
 Clean up the /, spaces, dashes, hyphens,…
 Rule out the numbers that don’t conform to the format as they are incomplete, foreign,…
 Recognise the mobile phone numbers which will need specific validation
 Etc.

22. EXAMPLE OF QUALIFICATION
Among the email addresses extracted from a site, the application “Links” is capable of:
 Identifying official addresses on which to contact the company that are much more varied than contact@... or info@...
 Recognising generic addresses of the main services: HR, recruitment, IT, marketing,…
 Isolating the personal addresses for managerial staff and directors (pierre@...) which must undergo specific
technological and legal processing.

23. OTHER EXAMPLES OF QUALIFICATION
 Thanks to the contextual data extracted during phase 1, it is possible to identify the different sites or headquarters
from among the other addresses: distributors, parent company, partners,…
 The effective and genuine activities of a company are not necessarily those declared on the official company register.
Email-Brokers is set to identify it through semantic analysis of the job profiles, by examining key words, the website’s
title, etc.
 Websites with the suffix “.fr” belonging to foreign-owned companies will be treated separately.
 Etc.

24. AS PART OF THIS PROCESS, A CONFIDENCE LEVEL IS ATTACHED TO EACH
ITEM OF DATA
Data that is irregular, subject to risk or conflict will either be ruled out immediately or will undergo subsequent checks.
Only data that is judged to be trustworthy via an indicator system will be approved.

25. DATA IS DEEMED TRUSTWORTHY IF IT MEETS THE FOLLOWING 7 CRITERIA…
PERTINENCE
PRECISION
FRESHNESS
COMPARABILITY
ACCESSIBILITY
COHERENCE
CLARITY

26. OUTSOURCING
3. HUMAN CHECK
1. SCAN
THE WEB
2. CHECK
& QUALIFY
3. HUMAN
CHECK
4. INTEGRA-
TION
PRODUCTION
5. MONITORING & UPDATE

27. HUMAN CHECKS
Any data that is missing or that does not reach the required quality coefficient will be required to undergo a further stage
of certification.
It shall be subject to a human, manual check.
This stage is carried out in partnership with a number of approved companies.

28. LAST STEP BEFORE PRODUCTION
4. FINAL INTEGRATION
1. SCAN
THE WEB
2. CHECK
& QUALIFY
3. HUMAN
CHECK
4. INTEGRA-
TION
PRODUCTION
5. MONITORING & UPDATE

29. ALL DATA IS VALIDATED AND CERTIFIED BEFORE BEING INCORPORATED
INTO THE DATABASES

30. THE VIRTUOUS CIRCLE
5. MONITORING & UPDATING
1. SCAN
THE WEB
2. CHECK
& QUALIFY
3. HUMAN
CHECK
4. INTEGRA-
TION
PRODUCTION
5. MONITORING & UPDATE

31. CONTINUOUS QUALITY CONTROL
This means we are able to guarantee frequent updates.
Our data is regularly used by our clients, on average 5 to 6 times per month.
We also subject to monthly monitoring (see Step #1).

32. WHO CAN DO IT BETTER?
WHAT QUALITY CAN WE
GUARANTEE?

33. METHODOLOGIES, TOOLS & DATA
DATA ANALYSIS IS AN ONGOING, STANDARDISED PROCESS, DIVIDED UP INTO VARIOUS PHASES.
There is no other Web Data Management company with expertise than can rival ours, nor with methods that are as tried and tested.
Our bases evolve constantly and are always being updated.
CAN WE GUARANTEE 100% QUALITY? NO… BUT 99.99%... ABSOLUTELY!

34. ELEMENTS OF THE QUALITY MANAGEMENT TOOL
INSTITUTIONAL
ENVIRONMENT
PRODUCTION
PROCESSES
USER
NEEDS
STATISTICAL
PRODUCTS
SUPPORT
PROCESSES
MANAGEMENT
SYSTEMS &
LEADERSHIP

35. ABSOLUTE LEGALITY OF THE DATA HARVESTED
And whenever we come into contact with personal data (pierre@...), it is processed manually.
French and Belgian lawmakers are very demanding when it comes to the protection of privacy.
We only use data that is publicly available and can be used freely.
As a reminder, generic data (such as emails info@...) fall under the opt-out regime.

36. WHO ELSE COULD CLAIM CLIENTS AS WELL KNOWN
AND DEMANDING?
VERY HIGH LEVEL CLIENTELE

37. IN CONCLUSION…
GOOD DATA LEADS TO
GOOD DECISIONS

38. WILLIAM VANDE WIELE
THANK YOU FOR YOUR
ATTENTION
CEO
wvw@email-brokers.com
Avenue du Chili
1000 Brussels
Tel: +32 (0)486 88 58 71
VAT BE: 0476 769 351