arto laurila cgi_liiketoiminnalle_kriittisten_tietovirtojen_hallinta_cg_in_dynamics_paiva_2016
TRANSCRIPT
© CGI Group Inc. CONFIDENTIAL
Liiketoiminnalle kriittisten tietovirtojen hallinta
Arto Laurila, Lead IT-Architect, CGI
26.10.2016
WHAT IS DATAFLOW?
Business plan
Integration layer
Infrastructure layer
Data Flow actually flows through the business ecosystem, from consumers through various integrations into data base and infrastructure services and
back.
It’s essential that attention is put to data quality, data availability and supporting documentation to ensure that the data usage does not become a
limiting factor in the whole business processes execution and further digitalization.
Database layer
Data quality
Data availability
Digital Customer Experience
CASE VAPO, DATAFLOW MANAGEMENT
Vapo was in a situation where it had a partner for data integrations and another partner for MDM. No one was ultimately responsible of the quality, integrity and usability of data.
Co-operation started with maturity assessment and performing current state – target state analysis. With this information roadmap with clearly defined next steps was created.
CGI is responsible for ensuring connections needed for business development between different systems are in place and function and that the data flow between different systems is coherent, unified, available and up-to-date.
• Data Management (MDM) layer ensures data is of high quality and accessible by right people and systems
• Integration service layer connects background service and business information to electrical channels and takes care of integrations and performance of dataflow between applications
• Digital Experience layer offers an agile and flexible way to develop e-services by using for example Microservices and API Management technologies
• Competence Center combines the above mentioned layers into Data Flow by creating an efficient and reliable platform to manage company’s business critical information.
1
2
3
Transforming from siloed systems and organizations into an
industrial cloud network of digitalized capabilities
4
PAST FUTURE … majority of manufacturing systems in the future
will very probably fulfill either individual customer or partner
needs by a collaborative and agile integrated cloud capabilities
As majority of todays production environments are linearly
organized and optimized within the boundaries
of organizational and system siloes…
Siloed Systems
Monolithic
No API-, or
Data Flow
architecture
Tight licensing
model
Expensive
integrations
Slow T2M
Interoperability
Real-time with
quality
API mngt and
Data Flow
architecture
Cloud and
virtualization
Service
Orientation
Modular and
transparent
CDM
Integrations
Business
Silo
Business
Silo
Business
Silo
Business
Silo
Public API
Data management
AS-IS
Transformation
Enable customers
new digitized
services
Fast data
integrations
due managed
data flows
CGI
Data Flow
and
Integration Office
Integrations
Business
Silo
Business
Silo
Business
Silo
Business
Silo
TO-BE (With Centralized Governance)
Automation
Partner
channels
Social
Media Self
service
Mobile
apps
… Software
Robotics
Digitized
Marketing
Digital Customer Experience
HIGH QUALITY DATA ACCESSIBLE 24/7 BY
RIGHT PEOPLE AND SYSTEMS
On-premise or
Hybrid
Cloud and/or Hybrid
Common Data Model (CDM)
Dynamics 365, PowerApps, Flow and
Common Data Model
Dynamics 365 offers the PowerApps, Flow and Common
Data Model, which will enable fast application creation
from Azure perspective.
CGI Data Flow service model will enchance the Microsoft
Flow and quarantee that the Data is well syncronized, it’s
in good quality and the Data Management perspective
matches to the application tier needs. Also manages the
possible On-Premises deployments.
Also the security perspective is then managed and
secured through the CGI Cyber Security services.
CGI DATA FLOW COMPETENCE CENTER MODEL Transparent and Agile Knowledge Center
Client IT
Nearshore:
PORTUGAL
Business
Units
Client
Business requirements
Budget approval
Service Requests
Service
Director
Lead
Architect
Technical
lead
ONSITE
SERVICE
TEAM
Service
Manager
Aligned onsite / offsite blend Alig
ned lo
cal / n
ear s
hore
/ offs
hore
ble
nd
Enhancements
Service Delivery- Local
Talent Pools
CORE
TEAM Service Delivery
Service Delivery- Offsite
Client Teams
Architecture
Collaboration
Workgroup
Nearshore:
ESTONIA
Offshore:
INDIA
SIAM Technology
Supplier(s)
Data Flow
RESULTS
Clear and critical
development targets
defined
Roadmap to further
development,
next steps defined
HOW
Questionnaire
consisting of eight
sections and evaluated on
a five level scale • Level 1 Not Managed -
Level 5 Strategic
Answers are evaluated
based on: • Current state maturity
level
• Short term (6 month)
state maturity level
• Long term (1 – 2 years)
status maturity level
BASIS: MATURITY ASSESSMENT
WHAT
Workshop
with selected
customer’s key persons
1 2 3
1 2 3
WHO TO?
Companies with currently low maturity level (levels 0-1 / 5)
Companies with several subcontractors and / or fragmented IT environment
Companies who want to speed up business development process
(from data management to integrations to e-channels) and thus create cost savings
CUSTOMER CONCERNS
Data Flow combines traditional Master Data Management and
Enterprise Integration to single Data Flow Service.
Single point of contact through Service Delivery
Full responsibility of agreed scope of integration- and master data
services
Integration platform, master data services and application level
monitoring
Emergency and corrective maintenance
Preventive maintenance with proactive problem identification
Full spectrum of process-, integration and data architecture
Third party guidance and solution audit process for multi-vendor
development environment
DA
TA
FL
OW
S T
HR
OU
GH
BU
SIN
ES
S E
CO
SY
ST
EM
”I want to ensure privacy issues are
up-to-date and information security
is guaranteed”
”Time-to-market process of new
business ideas is too time consuming
and lengthy”
”Integration development process
is too slow”
”Reacting to changes is slow due to
multi-vendor environment”
”Quality of data is not as good as it
should be”
