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Customer story: How Azure
turns out to be vital in our
innovation strategy
Geert Truyen, CEO
Geert Truyen - CEO
Founded end 2012
BPO for company high volume
day-to-day mailroom activities, and
back file conversions
Complete end-to-end...
CORE COMPETENCIES
Business Process Outsourcing for company mailroom activities
• Reception and preparation of physical documents to be scann...
• BEST IN CLASS SCANNING
TECH AND OPS
• TRUE ALL-IN-ONE E2E
SOFTWARE SOLUTION
• PROPRIETARY
DEEP NEURAL NETWORKS
BASED HAN...
SCANNING
OPERATIONS
3 BancTec Scanners
1 IBML Scanner
Without any doubt one of the most
professional scanning technology
environments in Belgi...
Powered by dataBANG
Powered by dataBANG
Powered by dataBANG
PROCESS
MANAGEMENT
& CONTROL
PROCESS CONTINEOUSLY MONITORED
WITH AUTOMATIC SENSORS
PRTG TOOL TAKES MEASUREMENTS
CREATES AND UPDATES JIRA ISSUES
EXE/SCRIPTS
REST API
IMMEDIATE
ACTION
ROOT CAUSE
CONTINUOUS
IMPROVEMENTS
CONTINUOUS IMPROVEMENTS
CONTINUOUS INNOVATION
WE USE DEEP NEURAL NETWORK
TECHNOLOGY (DNN) FOR MACHINE
LEARNING (COMPUTERS) TO RECOGNIZE
THE CONTENT OF DOCUMENTS
DocBrain
WE ACHIEVE UNPRECEDENTED ACCURATE
RECOGNITION OF HANDWRITTEN TEXT,
STRINGS OF CHARACTERS, STAMPS,
DOCUMENT TYPES, ETC.
Doc...
THE BUSINESS CASE
BUSINESS CASE - OBJECTIVESOutsidecompany
boundaries
Accommodate customer specific
information of meaningful steps of
every...
• A consistent method to generate “events”,
both for in-house and customer applications, in
order to achieve customer spec...
• Research on available Options
• In-house MS SQL
• Cloud solutions
• Amazon
• Google
• Microsoft
• Research for Partner
B...
• Microsoft Azure
• CODIT
BUSINESS CASE – SELECTION OUTCOME
SOLUTION ARCHITECTURE
SOLUTION ARCHITECTURE
MS SOLUTION COMPONENTS – VERSION 1
MS SOLUTION COMPONENTS – VERSION 1
MS SOLUTION COMPONENTS – VERSION 2
• Involve a partner that is very technically
knowledgeable
• MS Azure technology components are still
evolving (fast)
• MS...
How Azure turns out to be vital for Soludoc's innovation strategy (Geert Truyen, CEO, at Codit's Azure PaaS Event)
How Azure turns out to be vital for Soludoc's innovation strategy (Geert Truyen, CEO, at Codit's Azure PaaS Event)
How Azure turns out to be vital for Soludoc's innovation strategy (Geert Truyen, CEO, at Codit's Azure PaaS Event)
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How Azure turns out to be vital for Soludoc's innovation strategy (Geert Truyen, CEO, at Codit's Azure PaaS Event)

See how Codit helped Soludoc to create a consistent platform with Azure PaaS services.

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How Azure turns out to be vital for Soludoc's innovation strategy (Geert Truyen, CEO, at Codit's Azure PaaS Event)

  1. 1. Customer story: How Azure turns out to be vital in our innovation strategy Geert Truyen, CEO
  2. 2. Geert Truyen - CEO
  3. 3. Founded end 2012 BPO for company high volume day-to-day mailroom activities, and back file conversions Complete end-to-end solutions for demanding requirements
  4. 4. CORE COMPETENCIES
  5. 5. Business Process Outsourcing for company mailroom activities • Reception and preparation of physical documents to be scanned • Scanning of documents • Physical archiving • Destruction of archived physical documents • Software (called dataBANG) for Electronic Document and Data Management • OCR / ICR / DNN • Indexation • Validation • Workflow • To-do lists and case management • Validation application specifically adapted to be used by disabled people • Consulting regarding Electronic Document Management (EDM) solutions • Project implementation and project management services for our end-to-end solutions • Technical realization of integration with customer back office applications • Hosting of the end-to-end solution PhysicalSoftwareSolExpertise
  6. 6. • BEST IN CLASS SCANNING TECH AND OPS • TRUE ALL-IN-ONE E2E SOFTWARE SOLUTION • PROPRIETARY DEEP NEURAL NETWORKS BASED HANDWRITING RECOGNITION SOFTWARE • 100% PAY PER USE MODEL (FULL OPEX) WHAT SETS US APART
  7. 7. SCANNING OPERATIONS
  8. 8. 3 BancTec Scanners 1 IBML Scanner Without any doubt one of the most professional scanning technology environments in Belgium with state-of-the-art integrated document and data management software (dataBANG)
  9. 9. Powered by dataBANG
  10. 10. Powered by dataBANG
  11. 11. Powered by dataBANG
  12. 12. PROCESS MANAGEMENT & CONTROL
  13. 13. PROCESS CONTINEOUSLY MONITORED WITH AUTOMATIC SENSORS
  14. 14. PRTG TOOL TAKES MEASUREMENTS CREATES AND UPDATES JIRA ISSUES EXE/SCRIPTS REST API
  15. 15. IMMEDIATE ACTION ROOT CAUSE CONTINUOUS IMPROVEMENTS
  16. 16. CONTINUOUS IMPROVEMENTS
  17. 17. CONTINUOUS INNOVATION
  18. 18. WE USE DEEP NEURAL NETWORK TECHNOLOGY (DNN) FOR MACHINE LEARNING (COMPUTERS) TO RECOGNIZE THE CONTENT OF DOCUMENTS DocBrain
  19. 19. WE ACHIEVE UNPRECEDENTED ACCURATE RECOGNITION OF HANDWRITTEN TEXT, STRINGS OF CHARACTERS, STAMPS, DOCUMENT TYPES, ETC. DocBrain
  20. 20. THE BUSINESS CASE
  21. 21. BUSINESS CASE - OBJECTIVESOutsidecompany boundaries Accommodate customer specific information of meaningful steps of every processed document outside the boundaries of our own company process chain Generate detailed insight into every processed document along every meaningful step within the process / value chain Insidecompany boundaries END-TO-END
  22. 22. • A consistent method to generate “events”, both for in-house and customer applications, in order to achieve customer specific end-to-end views • A consistent platform to collect the events • Loosely coupled • A consistent way to create/report intelligence BUSINESS CASE – TECHNICAL OBJECTIVES
  23. 23. • Research on available Options • In-house MS SQL • Cloud solutions • Amazon • Google • Microsoft • Research for Partner BUSINESS CASE – SELECTION PROCESS
  24. 24. • Microsoft Azure • CODIT BUSINESS CASE – SELECTION OUTCOME
  25. 25. SOLUTION ARCHITECTURE
  26. 26. SOLUTION ARCHITECTURE
  27. 27. MS SOLUTION COMPONENTS – VERSION 1
  28. 28. MS SOLUTION COMPONENTS – VERSION 1
  29. 29. MS SOLUTION COMPONENTS – VERSION 2
  30. 30. • Involve a partner that is very technically knowledgeable • MS Azure technology components are still evolving (fast) • MS architecture components may have to change in order to reach the technical objectives • Think about your targeted reporting requirements early on (affects data model design) LESSONS LEARNED SO FAR

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