Organizations become trusted brands when they include a data strategy that transforms compliance initiatives into data intelligence. Data Intelligence is built upon compliance and extends to the people, processes and technology involved in the use and transformation of data into tangible business value.

1. 3 Steps to Achieving
Data Intelligence
December 2, 2021

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Today's Speaker
Nick Brandreth
Data Governance &
Security Evangelist,
OneTrust

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01
02
03
Agenda
The Data Landscape
Keys to Bridge the Gap
How OneTrust Helps

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Approximately 7 out of
10 consumers would
share significant data on
their health, exercise
and driving habits in
exchange for lower
prices from insurance,
an increase of 19% from
two years ago
Accenture Global Insurance Consumer Study, 2021
Data is The Competitive Advantage

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The Diverse and Dynamic Data Ask
Smarter Call
Routing
Process
Optimization
Personalization
Sales
Forecasting

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The Modern-Day Data Problem
TODAY’S COMPLEX DATA
ECOSYSTEM
CREATES DIFFERENT
CHALLENGES
THAT POSE THREATS TO
YOUR BUSINESS
Data Lakes
SaaS Systems
Third Party Data
Unexpected Data
Data Sprawl
Large Data Volume Data Breaches
Compliance Risk
Breach of Contract
Policy Violations
Data Processing
Inferred Data
!

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Evolving Data Risk

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BUSINESS VALUE
The Balance Between Compliance and Value
Build Trust in the Data Through
Quality and Consistency
COMPLIANCE
Build Trust and Minimize Risk
Through Transparency & Compliance
Leverage Data as a Differentiator to
Drive Innovation and Business Value
Build Trust in the Data Through
Quality and Consistency
Creates a Business Problem

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Data Intelligence is Built from a Unified Governance Strategy
BUSINESS VALUE
COMPLIANCE
UNIFIED DATA GOVERNANCE PROGRAM

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Keys to Bridge the Gap
And Create a Faster Path to Data Intelligence

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Advantages of Unified Data Governance
Truly Know Your Data Understand the Data
Holistically
Unify Tools and
Processes

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Advantages of Unified Data Governance
Truly Know Your Data Understand the Data
Holistically
Unify Tools and
Processes

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AI/ML Driven Discovery Goes Deeper Than Metadata
STRUCTURED DATA
SEMI-STRUCTURED DATA
SQL | RDBMS | XSL
Data Lake| NoSQL |HTML| RDF
PRODUCT DATA
COMPANY DATA
DEEP-LEVEL SCANS
OF ACTUAL FILES
UNSTRUCTURED DATA
Email | PDFs | Audio/Video| Images
CUSTOMER DATA
Intellectual Property | Patents
M&A Due Diligence| Financial Data
Employee Data
Sensitive PI| Behavioral Data
Third Party Data

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1
2
3
PI In Unexpected Places
From Form Text Fields
Inferred PI
Other Subjects' Data

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Advantages of Unified Data Governance
Truly Know Your Data Understand the Data
Holistically
Unify Tools and
Processes

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Accurate Classification for Compliance and Data Professionals
EMPLOYMENT DATA PII CUSTOMER DATA PERSONAL HEALTH
DATA
SPI NON-PUBLIC MATERIAL
I
IIP MEDICAL RESEARCH
DATA
GDPR, CCPA, HIPPA GDPR, HIPPA CCPA CPRA
CPRA, CDPA, CPA SEC Infosec HIPPA

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Advantages of Unified Data Governance
Truly Know Your Data Understand the Data
Holistically
Unify Tools and
Processes

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Data Governance Can't Be Done in a Silo
Separate tools for privacy, security, and data governance causes multiple business processes,
duplicate data entry and maintenance, and lack of visibility
DATA MAPPING / ROPA
Privacy
IT RISK MANAGEMENT
Security
DATA CATALOG
Data Stewards
PRIVACY TOOL GRC TOOL CATALOG TOOL

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Data Governance Can't Be Done in a Silo
A central tool allows for data to be discovered and populated at once, then used for different
purposes, streamlining different views & actions for different stakeholders
ROPA IT RISK MGT CATALOG
All part of the same continuum

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Example: Processing for a New Purpose
Business wants to use
customer data for a new
purpose that it wasn’t
collected for
1
Business request for
usage needs to trigger
a PIA because it is a
new purpose
2
Check the ROPA for the
legal basis for processing
that data – depending on
the legal basis:
3
Update policies
pertaining to that data
processing
Get updated consent
before new use of data
Once PIA is approved &
proper privacy updates
made, access is given
4
May only be able to
give access to data
collected after updates
because of the new
purpose

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Example: Processing for a New Purpose
Business wants to use
customer data for a new
purpose that it wasn’t
collected for
1
Business request for
usage needs to trigger
a PIA because it is a
new purpose
2
Check the ROPA for the
legal basis for processing
that data – depending on
the legal basis:
3
Update policies
pertaining to that data
processing
Get updated consent
before new use of data
Once PIA is approved &
proper privacy updates
made, access is given
4
May only be able to
give access to data
collected after updates
because of the new
purpose

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Example: Processing for a New Purpose
Business wants to use
customer data for a new
purpose that it wasn’t
collected for
1
Business request for
usage needs to trigger
a PIA because it is a
new purpose
2
Check the ROPA for the
legal basis for processing
that data – depending on
the legal basis:
3
Update policies
pertaining to that data
processing
Get updated consent
before new use of data
Once PIA is approved &
proper privacy updates
made, access is given
4
May only be able to
give access to data
collected after updates
because of the new
purpose

23. 25 | Copyright © 2021 OneTrust LLC
Example: Processing for a New Purpose
Business wants to use
customer data for a new
purpose that it wasn’t
collected for
1
Business request for
usage needs to trigger
a PIA because it is a
new purpose
2
Check the ROPA for the
legal basis for processing
that data – depending on
the legal basis:
3
Update policies
pertaining to that data
processing
Get updated consent
before new use of data
Once PIA is approved &
proper privacy updates
made, access is given
4
May only be able to
give access to data
collected after updates
because of the new
purpose

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Establishing a Trust Fabric to Drive Data Intelligence
Truly Know Your Data Understand the Data
Holistically
Unify Tools and
Processes

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How OneTrust Helps

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BUILT FOR:
Infosec, Privacy, GRC,
Sourcing & Vendor Teams
BUILT FOR:
Infosec, Audit, Risk &
Compliance Teams
BUILT FOR:
Security, Data, Analytics
& Technology Teams
BUILT FOR:
Privacy, Security, IT
& Legal Teams
BUILT FOR:
Marketing, Privacy, Media
& Engineering Teams
BUILT FOR:
Ethics, Compliance,
HR & Legal Teams
BUILT FOR:
Sustainability, Finance,
Legal & Procurement Teams
KNOW YOUR DATA
KNOW YOUR LAWS
AI AND ROBOTIC AUTOMATION
OneTrust Athena
Make Trust a Competitive Advantage with OneTrust

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OneTrust Data Intelligence Software
ACTUAL DATA
METADATA
CATALOG
BUSINESS
SEMANTICS
GOVERNANCE
KNOWLEDGE GRAPH
Apply Data Model for the Business:
Define Risk / Govern the Use of Data:
Scan & Enrich Data
Create Data Inventories
REPORTS & ANALYTICS
DATA LINEAGE
PRIVACY RIGHTS (DSAR) AUTOMATION
COGNITIVE SEARCH
RISK MANAGEMENT
DATA POLICY ENFORCEMENT
ASSETS PROCESSES VENDORS
DATA
ELEMENTS
DATA
SUBJECTS
•••
GLOSSARIES TAXONOMY BUS. UNITS
REGULATIONS POLICIES
•••

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