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Informatica Open House Session
Value of Enterprise Governance
2 0 1 8
W e l c o m e t o
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Thank You To Our Sponsor:
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TodayData Governance
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4 © Informatica. Proprietary and Confidential.
Housekeeping
• Open House Forum rules so questions are encouraged
• Please turn phones on silent
• Get in on the conversation
Capgemini @capgemini_austInformatica ANZ @Informatica_ANZ
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Patrick DewaldSenior Director, Data Governance Informatica
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Reimagine Data GovernancePatrick DewaldSenior Director – Data Governance
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Data used in specific business applications
Data used to support enterprise-wide business processes
Data powers digital transformation
1.0
2.0
3.0Generational market disruption in data
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8 © Informatica. Proprietary and Confidential.
Data is the foundation for digital transformation
New Infrastructure
New Applications
New Users
NewProcesses
New Business Models
Digital Transformation
Intelligent Data Governance
New Regulations
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Trends of Data Governance
BIG DATAMANAGEMENT
New data consumers
DATAINTEGRATION
Data is a strategic
asset
DATAQUALITY
Growing volume and type of data
CLOUD DATAMANAGEMENT
Increase in data-centric regulations
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10 © Informatica. Proprietary and Confidential.
Companies reimagining data governance
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Intelligent Data Governance
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12 © Informatica. Proprietary and Confidential.
Data is the foundation for digital transformation
New Infrastructure
New Applications
New Users
NewProcesses
New Business Models
Digital Transformation
Intelligent Data Governance
New Regulations
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13 © Informatica. Proprietary and Confidential.
Top Down
Pushing policies & standards down, controlling and policing…
Singular focus on data
data definitions, data policies, data rules, data committees…
Success = More GovernanceMore policies, rules, standards, committees, roles, workflows…
Next Generation Data Governance
Democratisedgraph
Business Understandingdata & usage
New way of Workingalignment by default
Firs
t Gen
erat
ion
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14 © 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 confidenceto 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.
Intelligent Data Governance
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15 © 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
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IntelligentData Platform
ACLOUD REAL TIME/STREAMINGBIG DATA TRADITIONAL
DATAINTEGRATION
BIG DATAMANAGEMENT
MASTER DATAMANAGEMENT
DATAQUALITY
DATASECURITY
CLOUD DATAMANAGEMENT
Products
Solutions
MONITOR AND MANAGE
CONNECTIVITY
COMPUTE
CUSTOMER360
DATAGOVERNANCE
REFERENCE360
INTELLIGENTDATA LAKE
SECURE@SOURCEPRODUCT360
ENTERPRISEDATA
CATALOG
SUPPLIER360
Enterprise CloudData Management
ENTERPRISE UNIFIED METADATA INTELLIGENCE
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IntelligentData Platform
ACLOUD REAL TIME/STREAMINGBIG DATA TRADITIONAL
DATAINTEGRATION
BIG DATAMANAGEMENT
MASTER DATAMANAGEMENT
DATAQUALITY
DATASECURITY
CLOUD DATAMANAGEMENT
Products
Solutions
ENTERPRISE UNIFIED METADATA INTELLIGENCE
Enterprise CloudData Management
CUSTOMER360
DATAGOVERNANCE
REFERENCE360
INTELLIGENTDATA LAKE
SECURE@SOURCEPRODUCT360
ENTERPRISEINFORMATION
CATALOG
SUPPLIER360
CONNECTIVITY
MONITOR AND MANAGE
COMPUTE
MONITOR AND MANAGEUsage Operational
Technical Business
Unified MetadataEnterprise
Intelligence
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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
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19 © Informatica. Proprietary and Confidential.
AI-Assisted CataloguingConceptual Model
Physical Models
Informatica Axon
EnterpriseDataCatalog
Define
Data Set
Data Domain
Composite Domain
Data DomainData
Domain
Disc
over
AttributeAttributeAttribute
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20 © Informatica. Proprietary and Confidential.
Business & technical lineage automationConceptual
Physical
Informatica Axon
EnterpriseDataCatalog
Document/Enforce
Valid
ate/
Reco
mm
endBusiness
SME
EnterpriseArchitect
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21 © Informatica. Proprietary and Confidential.
Intelligent and Contextual Data Quality Management
IDQ: Rule Implementation and Measurement
Implement
Report
Axon: Definition of Rule, Context, ReportingGovernanceCouncil
Data Stewards
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22 © Informatica. Proprietary and Confidential.
Data Governance – Instructing Data Security
Define security, portability, retention policies
Measure & monitor attainment against policies
Discover relevant data, assess coverage and risk, cost,
alert on deviations/anomalies
Policy
Status
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Data Governance & Compliance for
GDPR
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24 © Informatica. Proprietary and Confidential.
GDPR & why it’s importantWhat is it?
• May 2018, the European Union General Data Protection Regulation (GDPR) comes into full force to enhance protection of personal data
Why is it important?
• Significant impact for organizations and how they manage data with some potentially very large penalties for violations – 4% of global revenues
• Impacts the storage, processing, access, transfer & disclosure of an individual’s data records
Who is affected?
• These protections apply to any organization (anywhere in the world) that processes the personal data of EU data subjects
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When is the GDPR coming into effect?
How do I become compliant?
Where do I start? Who does the GDPR affect?
How do I get consent?
What is Privacy by Design?
What actionable steps should organizations be
taking today?
What about Data Subjects under the
age of 16?
What constitutes personal data?
What are the penalties for
non-compliance?
What is the difference between a data processor
and a data controller?
Do data processors need 'explicit' or 'unambiguous’ data subject consent –
and what is the difference?
What is the difference between a regulation and a directive?
Does my business need to appoint a
Data Protection Officer (DPO)?
How does the GDPR affect policy surrounding
data breaches?
Will the GDPR set up a one-stop-shop for
data privacy regulation?
In-scope Data
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26 © Informatica. Proprietary and Confidential.
Informatica for GDPR compliance efforts
DATA UNDERSTANDING & GOVERNANCE: AXON
CONSENT MASTERING & ENACTING RIGHTS
MASTER DATA MANAGEMENT
SECURE DATA
DATA MASKING & ARCHIVING, PURGING
DISCOVERY & ANALYSIS SENSITIVE DATA
SECURE@SOURCE
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Shaping Data Governance
D1.1
Jess
Jon
Danny
Julie
Arnie@capgemini_aust
SYD 20MAR18
CBR 21MAR18
MEL 22MAR18
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29SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
If Data Governance is so strategic and necessary
why do so few initiatives succeed?
SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
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30SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
Lack of Transparency: Processes, Data, Comms
Research: Capgemini Data Management Global Centre of Excellence
Executive Support
All things Data Management
Maintaining Momentum Complicated Data = Complicated Governance
Lost in TranslationWhere do I start?
What are the key challenges your organisation faces to deliver your planned Data Governance capability?
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31SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
All things Data Management
All Data Management boats rise and fall on the to same tide:
For eg: very complicated to be excellent in DG but low maturity in DQ
Example: utility, multiple attempts to set sail with DG, unsuccessful because systems producing core data domains drive division
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32SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
Lack of Transparency
Transparency in policy / Authorisations
Transparency in data: lineage, conflict treatment
Communications: governance processes
Example: asset-intensive multinational – tracking compliance to plan
Example: infrastructure industry –transparency into end-to-end supply chain
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33SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
Executive Support
What kind of support do you need?What’s the best way to make the (data) traffic flow?How senior do your data stewards need to be?
Example: emergency services
Example: electricity distributor undergoing a customer-centric transformation + automation + core systems refresh
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34SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
Maintaining Momentum
Many DG programs start bright but fade quickly, end up a distant point in the broader portfolio of programs and BAU
Example: retailer with new competitive threat, new customer behaviours + need to run more efficiently: DG moved from a bureaucratic IT process to central to new value
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35SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
Complicated Data = Complicated Governance
DG program works OK for traditional structured ‘core’ data world but data dumping on us from everywhere: fast & unstructured & external & context-driven
Example: asset-intensive network operator starting big data journey, can’t just extend current governance approaches to new data platform
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36SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
Lost in Translation
‘The business aren’t complaining so I don’t know what’s wrong’
When they say ‘compliance’ or ‘governance’ that’s when we act
Need to unmask the DG requirement underneath all business requirements:
Customer-related business requirements
Supply chain-related business requirements
Asset management-related business requirements
Financial performance -related business requirements
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37SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
Where do I start?
Does DG always feel important but not urgent?
How do I slice up a bigger challenge into bite sized pieces that bring a clear benefit?
How do I add DG increments to bigger initiatives?
Proactive / continuous improvement versus reactive / playing catch-up
Example: GDPR
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38SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
Intelligent Enterprise Framework helps enterprises determine a comprehensive capability gap analysis to target state, and roadmap
Industry standards, internal & external
reference data
Legal & regulatory
data compliance, e-discovery
Data retention & archiving,
data disposition
Data architecture, data modelling
Data hierarchies,
naming & coding conventions
Master data policies & workflows
DG organisation, decision-making &
accountability
Data exploitation, big data governance
Metadatamanagement,
data lineage & traceability
Data privacy, data protection,
information security, data
maskingData Quality
analysis, improvement, data enrichment
Comms & change: data culture,
DG checkpoints in major programs
Business Glossary (definitions),
classification standards, new data types
CAPGEMINI IE FRAMEWORKENABLING CAPABILITYPROTECTING CAPABILITY
© 2017 Capgemini. All rights reserved.
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39SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
Shaping the right Data Governance voice depends on your focus on strategic and necessary business value points
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PANELYour Path to Data Governance & Compliance
Danny CentenHead of Data Management
Capgemini
Anand RamamoorthyAPJ Segment leader,
Data GovernanceInformatica
Jessie MeleckInsights and Data
Consultant Capgemini
Jonathon WettonDirector Insights &
DataCapgemini
Patrick DeWaldSenior Director Data
GovernanceInformatica
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41SHAPING DATA GOVERNANCE | MAR’18 © 2018 Capgemini. All rights reserved.
Iterate: think big, move small, surf waves
Tips to action
1234
5
Modulate: sing when you need to, shoot when you must
Integrate: one program, applied to all systems, stakeholders, strategy & situations
Infiltrate: go meet your analytics practitioners, listen to your risk managers and your DQ experts, and disrupt the Google ‘best practice’ searchers
Create: if you’re already good, look at governing external / streaming / unstructured / new data
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LA NIAQUE50 years of connecting people and technology into a better way of working 50 years of advisory and delivery excellence
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Thanks for joining us today
Networking & Demo Huts availableGet in contact with us today:
Capgemini @capgemini_austInformatica ANZ @Informatica_ANZ