Data Quality from Precisely: Trillium Quality & Discovery
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The document outlines recent features and enhancements in Trillium Quality & Discovery 17.1, including support for more data sources and improved performance. It discusses the 2023+ roadmap themes focused on data integrity, user-configurable reporting, and integration with the Data Integrity Suite. The document also provides information on new capabilities for data quality management and encourages users to engage with community resources and contact representatives for further information.
Data Quality from Precisely: Trillium Quality & Discovery
- 1. Data Quality from Precisely What’s new for Trillium customers Jeff Brown
- 2. Agenda • Highlights of recent features added to Trillium Quality & Discovery • Roadmap Themes • Data Integrity Suite Overview • Q&A
- 3. Highlights of Trillium Quality & Discovery 17.1 features • Trillium now supports double the amount of data sources. Key additions include: • Snowflake • Apache Hive • Apache Spark SQL • Google BigQuery • MongoDB • SAP S/4 HANA • Improvement in performance and reliability over previous versions of Trillium • Upgraded platform technologies including support for: • Windows 11 • Windows Server 2022 • RedHat 8
- 4. Precisely Trillium Roadmap Themes 2023+ Trillium Cloud Improvement Reporting and analysis on utilization User configurable reporting notifications Infrastructure Port Control Center to Discovery Center Port Repository Center to Admin Center Updated “Installer” to ease deployments Integrations 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. 8 Run data quality processes where the data lives, including directly in the cloud. Trillium can continue on- premises without redesign. #1
- 9. 9 Extend the functionality of your Trillium environment with strong address validation, geocoding, and data enrichment, available via API or within data quality pipelines. #2
- 10. 10 Leverage metadata and data quality rules across data quality tools, monitor data pipelines based on data profiles, and benefit from ML-based intelligence. #3
- 11. 11 Access integrated suite services, including Data Governance, Data Observability, Data Integration, and more. #4
- 12. Questions?
- 13. 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
- 14. 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
- 16. Thank you!
Editor's Notes
- #5: Speak to Security updates Extending value with Suite
- #6: 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.
- #7: 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
- #8: 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
- #9: Deliver cost-efficiency, enhanced scalability, and improved data accessibility, facilitating faster and more informed business decisions.
- #10: Streamline data management processes, enhancing data-driven insights, and fostering better collaboration, improving business performance.
- #11: Reduce operational costs and extract additional value out of data products that are already being produced in existing products.
- #12: Reduce the number of tools and required skillsets by taking advantage of a single platform.