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Using Trillium
Discovery with
Collibra
Marco de Jong | Data Quality
Housekeeping
Webinar Audio
• Today’s webinar audio is streamed through your computer
speakers
• If you need technical assistance with the web interface or audio,
please reach out to us using the Q&A box
Questions Welcome
• Submit your questions at any time during the presentation using
the Q&A box
Recording and slides
• This webinar is being recorded. You will receive an email following
the webinar with a link to the recording and slides
Agenda
• Introduction
• Data Governance and Data Quality
• Integrated Data Quality for Collibra
• Demonstration
3 Trillium Discovery for Collibra
Introduction
To drive real value, organizations must empower every data
citizen to find the right information, assess its quality and
trustworthiness, and use it confidently to make better decisions.
• Make it discoverable. Help your data users find data that is fit-
for-purpose, discover new datasets crowdsourced by their
peers, or tag data that’s important to them.
• Make it understandable. Give your data users a clear picture
of who owns the data, where it comes from, what it means,
and how reliable it is.
• Make it trustworthy. Help your data users know what data
they can use, how to use it, and when to share it.
4 Trillium Discovery for Collibra
Collibra Data Governance and Precisely Data
Quality
• Collibra ensures the availability, usability, integrity, accuracy, compliance and security of
data by:
• Establish a common understanding of the business
• Putting trusted data assets in the right hands
• Providing insight across the organization
• Precisely DQ covers the integrity, accuracy of data by:
• Assessing the current state of data quality
• Putting rules in place to validate data in ongoing form
• Delivering insights on data to those who need to know
5
Make it trustworthy
Make it discoverable,
understandable
Trillium Discovery for Collibra
Symbiotic relationship between DG & DQ
Collibra needs appropriate Data Quality to not-only clean the raw data, but to illustrate data
errors, peculiarities and issues, in order to help compile the best standards and monitor the
data quality over time
Precisely needs Collibra to ensure the data is cleaned and maintained within an appropriate
data framework which is relevant to the business needs
Relevant
Rules &
Policies
High Quality Data
Trillium Discovery for Collibra6
Integrated Data Quality for Collibra
Business
Initiative:
Improve Policy
Integrity
Verify Policies
Approve New Rule
for Implementation
Investigate &
Monitor
Stewardship
Judy Clark
John Fisher
FinanceData
Steward
CFO
Business
Implement
New Rule
Mike Jones
DataQuality
SME
Raise Issues
Profile Data &
Verify Rule
7 Trillium Discovery for Collibra
Trillium Discovery for Collibra
Collibra Data Governance Center
• Enables non-technical users to define
business policies and data quality rules in
plain language
• Makes data quality performance available
to all users
Trillium Discovery
• Imports DGC business rules so technical user
can convert them to executable data quality
rules
• Profiles the data, executes the business rules,
returns profile statistics and the data quality
metrics back to Collibra
Rulebooks to Rules
Quality test Results
8 Trillium Discovery for Collibra
9
Trillium Discovery for Collibra
Trillium Discovery for Collibra
Trillium Discovery for Collibra
Functionality :
• Business Rule synchronization, bi-directional
• Data Quality Metrics
• Profile Statistics in Collibra
• Failing Rows in Collibra
• Trillium Data Quality Lineage
• Quality Scorecards for:
• Business Rule
• Entity
• Quality Dimension
• Scheduler
• Workflow for Issue Management
10 Trillium Discovery for Collibra
Demonstration
Start assessing your Data Quality in Collibra
12
collibra@precisely.com
Trillium Discovery for Collibra
Empower your businesses to make fast, confident decisions
based on data that is trusted to have maximum accuracy,
consistency, and context

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Trillium Discovery for Collibra

  • 2. Housekeeping Webinar Audio • Today’s webinar audio is streamed through your computer speakers • If you need technical assistance with the web interface or audio, please reach out to us using the Q&A box Questions Welcome • Submit your questions at any time during the presentation using the Q&A box Recording and slides • This webinar is being recorded. You will receive an email following the webinar with a link to the recording and slides
  • 3. Agenda • Introduction • Data Governance and Data Quality • Integrated Data Quality for Collibra • Demonstration 3 Trillium Discovery for Collibra
  • 4. Introduction To drive real value, organizations must empower every data citizen to find the right information, assess its quality and trustworthiness, and use it confidently to make better decisions. • Make it discoverable. Help your data users find data that is fit- for-purpose, discover new datasets crowdsourced by their peers, or tag data that’s important to them. • Make it understandable. Give your data users a clear picture of who owns the data, where it comes from, what it means, and how reliable it is. • Make it trustworthy. Help your data users know what data they can use, how to use it, and when to share it. 4 Trillium Discovery for Collibra
  • 5. Collibra Data Governance and Precisely Data Quality • Collibra ensures the availability, usability, integrity, accuracy, compliance and security of data by: • Establish a common understanding of the business • Putting trusted data assets in the right hands • Providing insight across the organization • Precisely DQ covers the integrity, accuracy of data by: • Assessing the current state of data quality • Putting rules in place to validate data in ongoing form • Delivering insights on data to those who need to know 5 Make it trustworthy Make it discoverable, understandable Trillium Discovery for Collibra
  • 6. Symbiotic relationship between DG & DQ Collibra needs appropriate Data Quality to not-only clean the raw data, but to illustrate data errors, peculiarities and issues, in order to help compile the best standards and monitor the data quality over time Precisely needs Collibra to ensure the data is cleaned and maintained within an appropriate data framework which is relevant to the business needs Relevant Rules & Policies High Quality Data Trillium Discovery for Collibra6
  • 7. Integrated Data Quality for Collibra Business Initiative: Improve Policy Integrity Verify Policies Approve New Rule for Implementation Investigate & Monitor Stewardship Judy Clark John Fisher FinanceData Steward CFO Business Implement New Rule Mike Jones DataQuality SME Raise Issues Profile Data & Verify Rule 7 Trillium Discovery for Collibra
  • 8. Trillium Discovery for Collibra Collibra Data Governance Center • Enables non-technical users to define business policies and data quality rules in plain language • Makes data quality performance available to all users Trillium Discovery • Imports DGC business rules so technical user can convert them to executable data quality rules • Profiles the data, executes the business rules, returns profile statistics and the data quality metrics back to Collibra Rulebooks to Rules Quality test Results 8 Trillium Discovery for Collibra
  • 9. 9 Trillium Discovery for Collibra Trillium Discovery for Collibra
  • 10. Trillium Discovery for Collibra Functionality : • Business Rule synchronization, bi-directional • Data Quality Metrics • Profile Statistics in Collibra • Failing Rows in Collibra • Trillium Data Quality Lineage • Quality Scorecards for: • Business Rule • Entity • Quality Dimension • Scheduler • Workflow for Issue Management 10 Trillium Discovery for Collibra
  • 12. Start assessing your Data Quality in Collibra 12 collibra@precisely.com Trillium Discovery for Collibra
  • 13. Empower your businesses to make fast, confident decisions based on data that is trusted to have maximum accuracy, consistency, and context

Editor's Notes

  1. This build slide show the bi directional nature of the integration. The Business rule description can be automatically shared with Trillium. In Trillium a Technical check of the data can be created by a users. That technical rule can be run (and regularly scheduled to run) and the results can be either viewed in Trillium, or more commonly shared back to Collibra.