There’s a saying, “what you don’t know can’t hurt you.” But, in today’s data-driven world, this saying couldn’t be farther from the truth. Understanding and trusting your data is critical -- whether you’re complying with regulations like CCAR, GDPR, or CCPA, operationalizing privacy policies, or unlocking insights for a competitive advantage. Trillium Discovery seamlessly integrates with Collibra Data Governance to deliver the visibility you need to ensure your data is fit-for-purpose and business rules compliant. With Trillium Discovery for Collibra, you get unprecedented visibility into the health of your data – including a data quality scorecard – right in your Collibra dashboard. Join this webinar to learn how integrating data quality into your data governance platform unlocks the value – and eliminates the risk – hidden in your data, and see the new Trillium Discovery for Collibra in action! Key topics will include: - Benefits -- and challenges -- of data governance - Importance of data quality for data governance - Trillium Discovery’s industry-leading data validation and quality monitoring for Collibra - Powerful new features in Trillium Discovery for Collibra

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3. The journey to
Data Intelligence
Introduction to Collibra

4. 4
69% of organizations say they
struggle to turn data into useful
insight
COLLIBRA OVERVIEW
Source: IDC, Quantifying the Business Value of the Collibra Platform, 2018

5. Solving today’s biggest data problems requires a new approach
COLLIBRA OVERVIEW
• Reduced ability to compete, innovate and grow
• Time wasted on non value add activities
• Intuitive vs data-driven decision-making
• Collaboration impeded by misalignment
• Poor data quality and inconsistencies
• Difficulty in finding and accessing data
• Regulatory and compliance concerns
• No standardization of data
• Complex data environment
Business ImpactData Challenges
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Data
Intelligence
COLLIBRA OVERVIEW

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Data Intelligence is real time, compliant
access to trustworthy data
It is providing the right data, with the
right context to the right user
It is built on collaboration across all
technical and business users. It is
privacy-minded, data democratization.
Data
Intelligence
COLLIBRA OVERVIEW

8. Collibra is the Data Intelligence company
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COLLIBRA OVERVIEW

9. Creating a System of Record for Data Intelligence
COLLIBRA OVERVIEW
CDO CRO/CMO
AI/ML
Analytics
Data
Science
Big Data
Cloud
Data
Management
CIO
Gartner: “by 2021, the office of the CDO will be a mission-critical function comparable to IT,
business operations, HR and finance in 75% of large enterprises.”
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10. Enabling enterprises to turn data into value
COLLIBRA OVERVIEW
Automate Critical Data
Processes
• Close the collaborative gap between
IT and business
• Increase speed, quality and
confidence in decision making
• Help people understand how to use
data and more importantly how not to
use data
• Create shared understanding and
gain better buy-in across the
organization
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Trust Data
• Ensure data is accurate, consistent
and secure, and aligns with strategic
priorities
• Give transparency to complex
processing
• Help people answer the who, the
what, the when and the where of data
• Get trusted data systemically
throughout the organization
Unlock the Value in Data
• Turn data into valuable information
• Gain enhanced user insights and
intelligence
• Align data strategy with organization’s
overall mission and goals
• Connect the right data to the right
process and the right people
• Lower operational costs and drive
revenue

11. Primary benefits of Collibra
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COLLIBRA OVERVIEW
Built for the
business user
Holistic platform
approach
Operating at
scale with ML
Enterprise-grade
flexibility
Designed to
democratize Data
Intelligence for non-
technical users
Dedicated UX team
creating business-
friendly UI for multiple
personas and use
cases
Tightly integrated
applications that work
together to deliver
Governance, Catalog,
and Privacy & Risk use
cases
Common platform
foundation with flexible
integration and
operability approaches
Applying ML models to
learn from user input
and increase efficiency
Automated Data
Classification and
Guided Stewardship
features built on ML
foundation
Federated and flexible
operating model that
transforms to the
business’s current
approach
Flexibility to customize
out-of-the-box
workflows and / or
create custom
workflows

12. Key capabilities required to achieve Data Intelligence with Catalogs
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COLLIBRA OVERVIEW
Required Capabilities
Other
Approaches
Comment
Collibra
Approach
Comment
One integrated platform
Most competitors provide disparate app, poorly
stitched together without a core platform
Collibra builds all apps on top of a single
underlying orchestration platform
Available for the whole
enterprise
Most catalog technology is designed for single
departments within an enterprise
Collibra Catalog is designed for all departments
within the enterprise to collaborate
Applicable to multiple use cases
Most technologies include a fixed operating
model that prescribes workflows, data types,
roles, etc.
Collibra’s technology includes a flexible and
federated operating model that can be
customized for multiple departments / use cases
Built on a governance foundation
Most catalogs include simple indexing for search
and may not be able to find the right data
Collibra Catalog incorporates Governance and
Privacy aspects to ensure that search only
returns the right data (based on user)
Able to catalog datasets, models,
integrations, reports, and more
Most catalogs are only capable of cataloging
enterprise datasets
Collibra Catalog functions as a “catalog of
catalogs” and catalogs multiple asset types
including datasets, APIs, models, etc.
Compatible with native business
terminology
Most catalogs require that enterprises map
existing tools and terminology to the Catalog’s
operating model, which takes weeks
Collibra is built to work with native business
terminology. Users can load metadata directly
from Google Sheets in their own lingo.
Applied AI / ML
Most competitors are not using AI / ML or have
simplistic AI on a fixed set of data types
Collibra uses Google-powered AI/ML to auto-
classify data types and increase efficiency of data
stewards

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Creating Business Value
According to IDC, organizations with teams that use the Collibra platform achieve:
510%
Three-year ROI on
their investment
69%
Less time to locate
data and reports
28%
Lower frequency of
data related errors
23%
Higher gross
productivity by BI
and analyst teams

14. Collibra | Confidential
High
Quality
Data
Data Intelligence needs appropriate Data Quality tools to not only clean the raw data, but also to illustrate
data errors, peculiarities and issues, in order to help compile the best standards and monitor the data
quality over time.
Symbiotic relationship between Data Intelligence & Data Quality
Relevant
Rules &
Policies
Data Quality drives the Data Intelligence platform to ensure the data is cleaned and maintained within
an appropriate data framework which is relevant and pertinent to the business needs.
DQDI

15. Collibra | Confidential
Business
Glossary
Reference
Data
Workflow
& Policies
Data
Profiling
Data
Dictionary
Data Quality
Metrics
Issue
Management
Business
Rules
Business
Glossary
Reference
Data
Workflow
& Policies
Data
Profiling
Data
Dictionary
Data Quality
Metrics
Issue
Management
Business
Rules
Data Intelligence
Data Quality
Data Intelligence &
Data Quality
Synergy
Business
Glossary
Reference
Data
Workflow
& Policies
Data
Profiling
Data
Dictionary
Data Quality
Metrics
Issue
Management
Business
Rules

18. Judy Clark
John Fisher
Business
Mike Jones

19. Integration

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