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Data Quality
from Precisely
What’s new for Data360 DQ+ customers
Jeff Brown
Agenda
• Highlights of recent features
added to Data360 DQ+
• Roadmap Themes
• Data Integrity Suite Overview
• Q&A
Highlights of recent Data360 DQ+ features
• Address, email, and phone number validation
• Geocoding and reverse geocoding
• Provide company specific announcements
• Display specified dashboards
• Improved searching in multiple product areas
including analysis and rules library
• Query execution history
• Rollback execution status
• Install options to disable Redshift, Vertica, and Synapse
• Support Kubernetes for AWS installations
Precisely Data360 DQ+ Roadmap Themes 2023+
AI / ML
Automated rule
recommendations
ML-based anomaly
detection for data
quality rules
Infrastructure
Ease of deployment
improvements
Optimized job performance
Job scheduling insights
Integrations
Spectrum On-Demand
Integration
Integration with
Data Integrity Suite for:
Data Observability
Data Quality
Data Governance
Precisely leads with a data integrity vision
You’ve struggled with traditional solutions. We believe there’s a better way.
Data access owned by IT Collaboration between IT and business data users
Massive, loosely integrated solutions Just the scalable, interoperable capabilities you need
Data must be brought to the solution Workflows designed for the cloud that run alongside data
Slow, batch ETL processes Streaming data pipelines to the cloud
Separate business and IT metadata Scalable, shared catalog of business & technical metadata
Rules-based data management AI-driven quality rules, alerts, and data enrichment
• Enterprise apps
• Analytics tools
• Precisely industry
apps
• BI dashboards
• AI/ML
• Business Intelligence
• CRM
• Workforce mgmt.
• Data warehouse
• ERP
• Billing Data catalog Intelligence Agents
Deliver data that’s
accurate,
consistent, and fit
for purpose across
operational and
analytical systems
Run quality
processes where
the data lives
Design data
quality pipelines
with a friendly,
intuitive interface
Perform a wide
range of data
quality functions
including
data profiling,
cleansing,
validation,
enrichment, and
matching
Validate address
accuracy and
streamline
enrichment by
appending a
unique,
persistent ID to
addresses
Scales to meet
your
organization's
data needs with
high-
performance
processing
capabilities
Enables data
lineage,
traceability, and
impact analysis
• Enterprise apps
• Analytics tools
• Precisely industry
apps
• BI dashboards
• AI/ML
• Business Intelligence
• CRM
• Workforce mgmt.
• Data warehouse
• ERP
• Billing Data catalog Intelligence Agents
9
Run data quality processes
where your where data
lives. Maintain Data360
DQ+ on-premises or hosted,
while using the suite when
data should not be moved.
#1
10
Implement an expanded set
of modern data sources;
marketing-leading address
validation, geocoding, and
data enrichment.
#2
11
Complement Data360 DQ+
use cases for financial
reconciliation, entity matching,
and issue remediation with
advanced ML-based matching.
#3
12
Access integrated suite services,
including Data Governance,
Data Observability, Data
Integration, and more.
#4
Questions?
Stay up to date with
Precisely knowledge
communities
• Sign up!
• Communities>All Communities and
join the applicable communities
• Be sure to join the applicable
“Product Announcement” communities
What to do next
1
Join the
communities for
your product
family
2
Contact your Precisely
representative to
learn more about the
Data Integrity Suite
3
Watch Trust ‘23
recordings of any
sessions you missed
4
Schedule a follow-up
with Product
Management to discuss
roadmap details
Contact: Jeff Brown
jeffery.brown@precisely.com
Resources
Documentation:
https://support.precisely.com/products/data360-dq/
Contact support:
https://support.precisely.com/contact/
Communities:
https://community.precisely.com/
Trust ‘23 recordings:
https://rc.precisely.com/trust-23-the-data-integrity-summit
Thank you!

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Data Quality from Precisely

  • 1. Data Quality from Precisely What’s new for Data360 DQ+ customers Jeff Brown
  • 2. Agenda • Highlights of recent features added to Data360 DQ+ • Roadmap Themes • Data Integrity Suite Overview • Q&A
  • 3. Highlights of recent Data360 DQ+ features • Address, email, and phone number validation • Geocoding and reverse geocoding • Provide company specific announcements • Display specified dashboards • Improved searching in multiple product areas including analysis and rules library • Query execution history • Rollback execution status • Install options to disable Redshift, Vertica, and Synapse • Support Kubernetes for AWS installations
  • 4. Precisely Data360 DQ+ Roadmap Themes 2023+ AI / ML Automated rule recommendations ML-based anomaly detection for data quality rules Infrastructure Ease of deployment improvements Optimized job performance Job scheduling insights Integrations Spectrum On-Demand Integration Integration with Data Integrity Suite for: Data Observability Data Quality Data Governance
  • 5. Precisely leads with a data integrity vision You’ve struggled with traditional solutions. We believe there’s a better way. Data access owned by IT Collaboration between IT and business data users Massive, loosely integrated solutions Just the scalable, interoperable capabilities you need Data must be brought to the solution Workflows designed for the cloud that run alongside data Slow, batch ETL processes Streaming data pipelines to the cloud Separate business and IT metadata Scalable, shared catalog of business & technical metadata Rules-based data management AI-driven quality rules, alerts, and data enrichment
  • 6. • Enterprise apps • Analytics tools • Precisely industry apps • BI dashboards • AI/ML • Business Intelligence • CRM • Workforce mgmt. • Data warehouse • ERP • Billing Data catalog Intelligence Agents
  • 7. Deliver data that’s accurate, consistent, and fit for purpose across operational and analytical systems Run quality processes where the data lives Design data quality pipelines with a friendly, intuitive interface Perform a wide range of data quality functions including data profiling, cleansing, validation, enrichment, and matching Validate address accuracy and streamline enrichment by appending a unique, persistent ID to addresses Scales to meet your organization's data needs with high- performance processing capabilities Enables data lineage, traceability, and impact analysis
  • 8. • Enterprise apps • Analytics tools • Precisely industry apps • BI dashboards • AI/ML • Business Intelligence • CRM • Workforce mgmt. • Data warehouse • ERP • Billing Data catalog Intelligence Agents
  • 9. 9 Run data quality processes where your where data lives. Maintain Data360 DQ+ on-premises or hosted, while using the suite when data should not be moved. #1
  • 10. 10 Implement an expanded set of modern data sources; marketing-leading address validation, geocoding, and data enrichment. #2
  • 11. 11 Complement Data360 DQ+ use cases for financial reconciliation, entity matching, and issue remediation with advanced ML-based matching. #3
  • 12. 12 Access integrated suite services, including Data Governance, Data Observability, Data Integration, and more. #4
  • 14. Stay up to date with Precisely knowledge communities • Sign up! • Communities>All Communities and join the applicable communities • Be sure to join the applicable “Product Announcement” communities
  • 15. What to do next 1 Join the communities for your product family 2 Contact your Precisely representative to learn more about the Data Integrity Suite 3 Watch Trust ‘23 recordings of any sessions you missed 4 Schedule a follow-up with Product Management to discuss roadmap details Contact: Jeff Brown jeffery.brown@precisely.com

Editor's Notes

  1. Speak to Security updates Extending value with Suite
  2. You’ve likely been working on this for a long time, but legacy solutions aren’t serving you today. We have a vision for delivering data with integrity to your business.
  3. Talk to the vision – interoperable, leverage strengths of portfolio – pull together capabilities (e.g. integration with Data Governance) The modular, interoperable Precisely Data Integrity Suite contains everything you need to deliver accurate, consistent, contextual data to your business - wherever and whenever it’s needed. Data Integration: Break down data silos by quickly building modern data pipelines that drive innovation Data Observability: Proactively uncover data anomalies and act before they become costly downstream issues Data Governance: Manage data policy and processes with greater insight into your data’s meaning, lineage, and impact Data Quality: Deliver data that’s accurate, consistent, and fit for purpose across operational and analytical systems Geo Addressing: Verify, standardize, cleanse, and geocode addresses to unlock valuable context for more informed decision making Spatial Analytics: Derive and visualize spatial relationships hidden in your data to reveal critical context for better decisions Data Enrichment: Enrich your business data with expertly curated datasets containing thousands of attributes for faster, confident decisions
  4. Benefits Decrease costs by no longer storing and managing multiple copies of data Improve timeliness of decisions through robust software and enrichment data Reduce time spent on tasks to make the data ready for operations and analytics Gain more accurate and reliable insights, leading to better decision-making and enhanced business outcomes. Ensure compliance with data protection regulations and industry-specific requirements, reducing the risk of fines and penalties. Foster better collaboration between data teams and ensuring that data quality processes align with organizational goals and regulatory requirements
  5. Talk to the vision – interoperable, leverage strengths of portfolio – pull together capabilities (e.g. integration with Data Governance) The modular, interoperable Precisely Data Integrity Suite contains everything you need to deliver accurate, consistent, contextual data to your business - wherever and whenever it’s needed. Data Integration: Break down data silos by quickly building modern data pipelines that drive innovation Data Observability: Proactively uncover data anomalies and act before they become costly downstream issues Data Governance: Manage data policy and processes with greater insight into your data’s meaning, lineage, and impact Data Quality: Deliver data that’s accurate, consistent, and fit for purpose across operational and analytical systems Geo Addressing: Verify, standardize, cleanse, and geocode addresses to unlock valuable context for more informed decision making Spatial Analytics: Derive and visualize spatial relationships hidden in your data to reveal critical context for better decisions Data Enrichment: Enrich your business data with expertly curated datasets containing thousands of attributes for faster, confident decisions
  6. Deliver cost-efficiency, enhanced scalability, and improved data accessibility, facilitating faster and more informed business decisions.
  7. Streamline data quality processes, enhancing data-driven insights and improving business performance.
  8. Reduce operational costs and increase productivity by using ML to extract additional value from existing data
  9. Reduce operational costs and increase productivity by using ML to extract additional value from existing data