Prime Force is an IT consulting company that specializes in enterprise content management. They have worked with Volkswagen on several projects including OnKomm, a corporate website portal, media services, and Car-Net. For the OnKomm project, Prime Force used MongoDB both as a content repository and to store dynamic user-generated content, avoiding overloading the default repository. They have also used MongoDB for the Car-Net project to improve performance, enable offline access, and integrate additional data types. Prime Force believes MongoDB allows projects to be delivered faster and with better scalability.

1. Dr. Martin Mayr
Big Data for the Enterprise Decision Maker
September 26th, 2016
Case Study:
Volkswagen AG.
Prime-Force
meets MongoDB.

2. AGENDA
 Who is Prime Force?
 Skills and competences
 OnKomm @Volkswagen AG
 Additional projects
 What we can do for you

3. WHO WE ARE
Prime Force Group (PFG) is a independent systems integrator
and pan-European consulting company (ECM and WCMS).
Our team of 97 exceptional specialists assists our clients
with all sub-steps of complex IT-projects.
WHOIS PFG

4. COMPETENCE NEAR YOU
CH Basel, Lucerne, Zurich
A Salzburg
D Berlin, Frankfurt, Munich
DK Copenhagen
PL Warsaw
SRB Belgrade

5. WHY WE DO IT
WHYWE DO IT
BECAUSE WE KNOW THAT WE CAN
FASCINATED BY NEW TECHNOLOGIES
WE LOVE THE CHALLENGE

6. HOW WE DO IT
HOWWE DO IT
WITH KNOW-HOW AND TALENT
WITH PASSION AND COMMITMENT
100% SOLUTION FOCUSED

7. WHAT WE DO
WHATWE DO
ECM-/WCMS- STRATEGY CONSULTING
AEM-/CQ-BUSINESS-ANALYSIS/-DESIGN
AEM-/CQ-IMPLEMENTATION
SYSTEM MAINTENANCE/OPERATION

8. SKILLS AND COMPETENCES
PRODUKTPORTFOLIO
 CMS/WCMS (+ Analytics)
 Campaign
 Test &Target (Personalization)
 DMS
 Mobile-App Development
 Front-End-Engineering
 Input-/Inbound Management
 Output Management
 Document and e-Mail Archiving
 Search Engine Implementation
TECHNOLOGIERPARTNER
 Adobe (Service Partner)
 EMC2 (Preferred Partner Program)
 Oracle (Gold Partner)
 MS SharePoint (Gold Partner)
 MongoDB (Advanced Partner)
 Apache Solr

9. MONGODB TECHNOLOGY PARTNER
PRIME FORCE
COMPETENCE

10. WHERE AND WHY WE
USE MONGODB
(SOME USE-CASES)

11. EXAMPLE USECASE VOLKSWAGEN
Curent Prime-Force/MongoDB
Volkswagen Projects
Sub-
Projects
Main-
Projects
Partner Volkswagen
Projects
OnKomm
Corporate
Website
Portal
Media
Services
Car-Net

12. EXAMPLE USECASE VOLKSWAGEN
Curent Prime-Force/MongoDB
Volkswagen Projects
Sub-
Projects
Main-
Projects
Partner Volkswagen
Projects
OnKomm
Corporate
Website
Portal
Media
Services
Car-Net

13. EXAMPLE USECASE ONKOMM
VW ONKOMM
Project Aim
Concept a new company wide
(EMEA, US, Asia Pacific)
standard AEM infrastructure and
relaunch the existing web pages.

14. EXAMPLE USECASE ONKOMM
VW ONKOMM
It’s a comprehensive
content management
solution for building
websites, mobile apps, and
forms. And it makes it easy
to manage your marketing
content and assets.

15. EXAMPLE USECASE ONKOMM
OnKomm Scenario 1:
„MongoDB as Repository (MongoMK)“
MK
Core
JCR oak-jcr
oak-
core
TarMK MongoMK

16. EXAMPLE USECASE ONKOMM
OnKomm Scenario 1:
„MongoDB as Repository (MongoMK)“
Instances
MK
Core
oak-
core
TarMK
(MongoMK)
Publishing
MongoMK
Authoring

17. EXAMPLE USECASE ONKOMM
OnKomm Scenario 2: „MongoDB for dynamic data“
Wanted Problem
• Dynamic data must be
accessed (at entry),
stored and distributed
over all publisher
• User-driven data like
comments and likes
• User data (profiles)
• Publisher synchronization
• AEM: distribution over the
author instance
•  “un-wanted” data
@author
• CRX/JCR Repository is
not designed to store a
huge amount of UGC.

18. EXAMPLE USECASE ONKOMM
OnKomm Scenario 2: „MongoDB for dynamic data“
1
AEM
Publish
AEM
Publish
User generated content
Comments, likes
AEM
Author
Internal Network DMZ

19. EXAMPLE USECASE ONKOMM
OnKomm Scenario 2: „MongoDB for dynamic data“
1
AEM
Publish
AEM
Publish
2 Stored in repository
and in Replication Outbox
3 Check and
fetch Outbox
content
4 Workflow-based
moderation and
spam check
AEM
Author
Replication to
all publish
Internal Network DMZ
5
5
User generated content
Comments, likes

20. EXAMPLE USECASE ONKOMM
OnKomm Scenario 2: „MongoDB for dynamic data“
1
AEM
Publish
AEM
Publish
2 Stored in repository
and in Replication Outbox
3 Check and
fetch Outbox
content
4 Workflow-based
moderation and
spam check
AEM
Author
Replication to
all publish
Internal Network DMZ
5
5
• User data in internal network
• Everything over author
• Not immediately available
• Slow User generated content
Comments, likes

21. EXAMPLE USECASE ONKOMM
OnKomm Scenario 2: „MongoDB for dynamic data“
Wanted Problem Result
• Dynamic data must be
accessed (at entry),
stored and distributed
over all publisher
• User-driven data like
comments and likes
• User data (profiles)
• Publisher synchronization
• AEM: distribution over the
author instance
•  “unwanted” data
@author
• CRX/JCR Repository is
not designed to store a
huge amount of UGC.
• Store dynamic data on a
mongodb cluster
• Only publisher access
data
•  MongoDB over
AEM Communities
• No Community data in the
• CRX/JCR Repository

22. EXAMPLE USECASE ONKOMM
OnKomm Scenario 2: „MongoDB for dynamic data“
22AEM Author
• Publish instances are clustered with
MongoMK
• Default storage mechanism
• Easy to setup UGC
• UGC is only available on publish
instances
• Publish Farm is not utilized
MongoMK
AEM
Publish 3
AEM
Publish 2
AEM
Publish 1
Author
Content
UGC
Author
Content

23. EXAMPLE USECASE VOLKSWAGEN
Curent Prime-Force/MongoDB
Volkswagen Projects
Sub-
Projects
Main-
Projects
Partner Volkswagen
Projects
OnKomm
Corporate
Website
Portal
Media
Services
Car-Net

24. EXAMPLE USECASE CAR-NET
Car-Net - Overview

25. EXAMPLE USECASE CAR-NET
Car-Net: App-Connect

26. EXAMPLE USECASE CAR-NET
Car-Net: Guide & Inform

27. EXAMPLE USECASE CAR-NET
Car-Net: Security & Service

28. EXAMPLE USECASE CAR-NET
Car-Net – Architecture Overview

29. EXAMPLE USECASE CAR-NET
Car-Net – Architecture V2

30. EXAMPLE USECASE CAR-NET
Car-Net – Architecture V2
• Data also available when
MBB offline
• Better performance
because of faster access

31. EXAMPLE USECASE CAR-NET
Car-Net – Planed Improvements

32. EXAMPLE USECASE CAR-NET
Car-Net – Planed Improvements

33. EXAMPLE USECASE CAR-NET
Car-Net: Summary
Benefits to: Car-Net Project
Reduce cost (70%)
Better Scale (Horizontal, not
Vertical)
Enable Hybrid-Cloud Concept:
Scale non-sensitive data to Public
Cloud
Optimal integration of Geospatial
data (DB-Query: Find all e-car charging
stations next to client (permanent out of
range alert)
Quick-inlcude unstructured data
(Facebook, XING contacts, Apple
Music)
Deliver project faster due flexible
schema

34. WHAT WE CAN DO FOR YOU
HAPPY
CUSTOMERS.
FOR THIS, WE
TAKE CARE.

35. THANK YOU!
Dr. Martin Mayr
Prime Force Group
Jakob-Harringer-Strasse 5
A-5020 Salzburg
Phone: +43 662 261 966 04
Fax: +43 662 234 662 170
Mobile: +43 676 716 66 44
E-Mail: martin.mayr@prime-force.com