Date: 16th November 2017 Location: Data-Driven LDN Theatre Time: 12:30 - 13:00 Speaker: Andrew Joss Organisation: Informatica

1. Data Governance
Reimagined
Andrew Joss
Head of Solutions & Data Governance – EMEA-LA

2. Data used in
specific business
applications
Data used to support
enterprise-wide
business processes
Data powers
digital
transformation
1.0
2.0
3.0
Generational Market Disruption in Data

3. 3 © Informatica. Proprietary and Confidential.
New
Users
325 million
business data users
and growing
Machine
Learning/AI
Data in
the Cloud
New Data
Types
(mobile, social, IoT)
Explosion
in Data
Volume
Over 92% of data
center traffic
will come from
the Cloud
20 billion
connected devices
1 billion workers
will be assisted by
machine learning or AI
15.3 zettabytes
per year
in global data
center traffic
Data 3.0 – Trending By 2020

4. 4 © Informatica. Proprietary and Confidential.
Data is the foundation for digital transformation
New
Infrastructure
New
Applications
New
Users
New
Processes
New
Business
Models
Digital Transformation
Intelligent Data Governance
New
Regulations

5. Drivers of Data
Governance
DATA
INTEGRATION
$
Data is a
strategic
asset
BIG DATA
MANAGEMENT
New data
consumers
CLOUD DATA
MANAGEMENT
Increasing
data-centric
regulations
DATA
QUALITY
Growing volume
and type of data

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Intelligent Data Governance drives business value

7. 7 © Informatica. Proprietary and Confidential.
1. Enable collaboration across stakeholders to collect the knowledge and context
already in your business.
2. Realize governance by connecting policy efforts with the technical and
operational efforts.
3. Enable the data governance stakeholder to act with authority and confidence
to achieve measurable results with searchable and actionable enterprise views.
4. Empower the data governance stakeholder to always be in control by monitoring
and reporting attainment over time in the right business context.
5. Democratize data access for all with the right user experiences spanning non-
technical business users to IT.
Informatica Intelligent Data Governance

8. 8 © Informatica. Proprietary and Confidential.
Technical Data Governance
Enterprise Data Governance
Data Steward
How can I manage
metadata for key
enterprise data assets?
How do I assess and
manage data quality
through the lifecycle?
Data Governance
Office
How can we
implement data
governance
standards, facilitate
change programs,
monitor compliance?
How can I ensure
data managed within
application and
supporting processes
deliver value to the
business?
Data Owner
How can I discover,
understand and trust
data required for my
analysis?
Data Consumer
How can IT enable
business discover
data assets with
verified data quality
and traceability?
Data Architect
Business Data Governance

9. Intelligent
Data Platform
ACLOUD
REAL TIME/
STREAMING
BIG DATA TRADITIONAL
DATA
INTEGRATION
BIG DATA
MANAGEMENT
MASTER DATA
MANAGEMENT
DATA
QUALITY
DATA
SECURITY
CLOUD DATA
MANAGEMENT
Products
Solutions
ENTERPRISE UNIFIED METADATA INTELLIGENCE
Enterprise Cloud
Data Management
CUSTOMER
360
DATA
GOVERNANCE
REFERENCE
360
INTELLIGENT
DATA LAKE
SECURE@SOURCEPRODUCT
360
ENTERPRISE
INFORMATION
CATALOG
SUPPLIER
360
CONNECTIVITY
MONITOR AND MANAGE
COMPUTE
MONITOR AND MANAGE
Usage Operational
Technical Business
UNIFIED METADATA
ENTERPRISE
INTELLIGENCE

10. Intelligent
Data Platform
ACLOUD
REAL TIME/
STREAMING
BIG DATA TRADITIONAL
DATA
INTEGRATION
BIG DATA
MANAGEMENT
MASTER DATA
MANAGEMENT
DATA
QUALITY
DATA
SECURITY
CLOUD DATA
MANAGEMENT
Products
Solutions
MONITOR AND MANAGE
CONNECTIVITY
COMPUTE
CUSTOMER
360
DATA
GOVERNANCE
REFERENCE
360
INTELLIGENT
DATA LAKE
SECURE@SOURCEPRODUCT
360
ENTERPRISE
INFORMATION
CATALOG
SUPPLIER
360
Enterprise Cloud
Data Management
ENTERPRISE UNIFIED METADATA INTELLIGENCE

11. PowerCenter | DQ | MDM
BDM | BG | TDM | S@S
Axon | Informatica Cloud
Informatica
Oracle | DB2 | Mainframes
SQL Server | Netezza | Greenplum
Teradata | Azure DW
Google Big Query | AWS RedShift
Databases
SAP R/3 | Salesforce
Oracle | MS Dynamics | Workday
Applications
Cloudera | HortonWorks
MapR | IBM BigInsights
AWS EMR | Azure HD Insight
Big Data
AWS | Microsoft Azure
Google Cloud Platform
Cloud Platforms
Tableau | IBM Cognos
SAP BusinessObjects
Microstrategy | OBIEE
Business Intelligence
MS Excel | MS Word
MS Powerpoint | Adobe PDF
Flat File | Email
Documents
IBM DataStage | Microsoft SSIS
Talend | Oracle Data Integrator
Other ETL
Unified
Metadata
ENTERPRISE

12. Recommendations on
how to tackle the ‘D’
part of a GDPR initiative

13. 13 © Informatica. Proprietary and Confidential.
Basic questions related to data
Do you know what data you hold, who has access to
it, and for what purpose?
Do you know how
will you manage
consents and data
rights?
Do you know how
you will protect your
data and ensure it
has the appropriate
controls?
Do you know
where all your in-
scope data is?

14. 14 © Informatica. Proprietary and Confidential.
Informatica for GDPR Compliance Efforts
DATA GOVERNANCE: AXON
Policy definitions. Role assignments. Approval workflows for tasks and definitions.
CONSENT MASTERING &
ENACTING RIGHTS
• Single view of the subject
• Store consents and sensitive data
• Provide purpose-based perspectives to
the consuming applications
• Enacting rights: Access, rectify,
objection, portability, right to be
forgotten
MASTER DATA MANAGEMENT
PURGE DATA WITH
ARCHIVING &
ANONYMIZATION
• Persistent and dynamic sensitive data
masking, in production and non-
production environments
• Archive sensitive data in a secure,
easily accessible data store
DATA MASKING & ARCHIVING
SENSITIVE DATA
DISCOVERY & ANALYSIS
• Discover & classify sensitive data
• Data map and data proliferation
• Heat maps to detect high-risk areas
to setup a protection plan
• User access and activity
• Risk monitoring & management
SECURE@SOURCE

15. 15 © Informatica. Proprietary and Confidential.
What business value add is there?
Faster compliance reporting, faster data science,
optimised data risk, drives data as an asset
Faster delivery of
customer centricity and
digital transformation
programmes, data
superset for Market
purposes
Faster and more secure
application testing,
reduce costs through
data minimisation
Faster data discovery
for other policies,
supports breach
prevention initiatives

16. 16 © Informatica. Proprietary and Confidential.
In Summary
• Many organisations have truly woken up to the idea that data is a business asset
• Therefore Data Governance is important, because data is important
• So Trust in data has never been more important
• And we have to deal with the ‘messy reality’ of the way organisations work
• Which means we have to govern all kinds of data
• So Intelligent Data Governance is the only way to go!

17. `
Thank You
Andrew Joss
Head of Solutions & Data Governance – EMEA-LA
ajoss@informatica.com