Today’s growing complexity to the data ecosystem requires organizations to understand data at the data element level. Challenges in data collection such as open text boxes/free form text fields added to the velocity of incoming data increases risk for organizations. This risk is amplified when those organizations rely exclusively on metadata scanning when it comes to discovering and actioning their data. The need to look deeper than basic metadata becomes even more pronounced when dealing with semi-structured or unstructured data commonly found in file shares and email systems. Maintaining compliance and driving business value often requires scanning actual files, interpreting data, flagging risks, and integrating that risk into a data catalog. Going beyond metadata to the actual data element level ensures that your data catalog is a source of truth, which ultimately allows organizations to create agile Data Governance programs. We’ll walk you through key considerations for going beyond knowing what metadata you have by: • Underlining the importance of an enhanced, AI-driven data discovery tool to better understand your data and how it is being used • Discussing components of an effective Metadata Management strategy including data inventories, data dictionaries, and usage requests • Highlighting how the OneTrust platform embedded with regulatory intelligence helps you to go beyond metadata and address key use cases around unexpected or at-risk unstructured data

1. Enrich your Metadata
Management with
Deep-Level Data
Discovery
Kelsey Naschek
Lead Solutions Engineer
February 2021

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2 | Copyright © 2021 OneTrust LLC
Today’s Speaker
Kelsey Naschek
Lead Solutions Engineer, OneTrust
CIPP/E, CIPM

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01
02
03
04
Agenda
Challenges of Enterprise Data
The Need for Governance
Is Metadata Discovery
Enough?
How OneTrust Helps

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Industry Expertise

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7,500 CUSTOMERS
BOTH BIG AND SMALL COMPANIES
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BE A MORE TRUSTED ORGANIZATION
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PLATFORM TO MANAGE PRIVACY,
SECURITY & DATA GOVERNANCE
Operationalize CCPA, GDPR, LGPD
ISO 27001/27701, NIST and
100s of the World’s Privacy, Security
and Compliance Laws and Frameworks
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Partner With A Company That’s Built To Last
FASTEST-GROWING &
MOST WELL FUNDED
$710 MILLION RAISED
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INFRASTRUCTURE
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48,000% GROWTH RATE

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The Challenge of Big Data

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

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Complex Data Landscapes Must be Documented,
Organized and Governed
+ =
COMPLIANCE
REQUIREMENTS
GROWING
DATA ECONOMY
DOCUMENTATION &
ORGANIZATION

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Build Trust with Consumers through
Transparency & Compliance
INNOVATION
Leverage Data as a Differentiator to
Drive Innovation and Business Value
Data Governance is a Balancing Act
Good Data Governance turns this problem into critical solutions
Build Trust in the Data Through
Quality and Consistency
COMPLIANCE

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The Need for Data Governance

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Understand Data
What does the data mean?
How is it defined technically and by the biz?
How is it classified?
Govern Data
What policies, rules & regs govern the data?
How should the data be treated & protected?
Who should have access? For what purpose?
Trust Data
Is the data accurate?
Where did the data come from?
How was it transformed along the way?
Use Data
How do I use data to drive biz value?
How do I get fast access to the data I need?
And stay compliant while I do it?
Find Data
What data do I have?
Where is the data located?
Should this data be housed there?

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Is Metadata Enough?

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Metadata Only Scratches the Surface
Common errors can range from mismatched column
information to completely incorrect information tables.
Human & Machine Error
Minor tweaks to data, system upgrades or cloud
migration could lead to mutation of data.
Data Drift & Mutation
Unexpected system outages and failures could lead
to database metadata corruptions.
Metadata Corruption

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Metadata is not always meaningful
APPLICATION
DATABASES
NO TABLE/ATTRIBUTE
DESCRIPTIONS
NO DEFINED
RELATIONSHIPS
NUMEROUS TABLES &
ATTRIBUTES

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Accurate Classification Relies on Scanning Actual Data
STRUCTURED DATA
SEMI-STRUCTURED DATA
SQL | RDBMS | XSL
Data Lake| NoSQL |HTML| RDF
RESTRICTED DATA
PERSONAL DATA
DEEP-LEVEL SCANS
OF ACTUAL FILES
UNSTRUCTURED DATA
Email | PDFs | Audio/Video| Images
SENSITIVE &
AT-RISK DATA

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Delivering Value through a Data Catalog
• Systematic record of data
− Technical
− Business
− Process
• AI/ML augmentation
• Nearly impossible to populate
manually
• Inferred business context
• Tagging/classification for regulatory
compliance

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How OneTrust Helps

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DATA CATALOG
Search and collaborate real time
across a centralized view of all
data assets
BUSINESS GLOSSARY
Connect data assets to business terms
& enable collaboration to develop
consistency and trust in data
METADATA MANAGEMENT &
DATA DICTIONARY
Discover & manage an active
map and centralized repo of all
metadata across the organization
DATA LINEAGE & IMPACT ANALYSIS
Visualize the data lifecycle and
relationships across the entire data
ecosystem
DATA POLICY MGMT & MONITORING
Manage & monitor data against data
policies & rules identify gaps & reduce risk
(Privacy, Data Retention, Security,
Access, Data Quality, etc.)
DATA ACCESS/USAGE
PROVISIONING
Automated provisioning of business
access to data in accordance with
data policies
DATA DISCOVERY
All system types, all data types,
deeper than metadata
PRIVACY & SECURITY
Truly integrated privacy, security
& data governance workflows
CONSENT & PREFERENCES
Full visibility into the customer
data you can actually use
Data Governance | Key Use-cases

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Thank you
Learn More - OneTrust.com
Kelsey Naschek
Lead Solutions Engineer
knaschek@onetrust.com

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