Struggling with Unreliable Data? Learn How to Build Trust in Data for Better Decisions
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This document summarizes a webinar on building trust in data for better decision making. It provides information on the webinar format, including that questions can be submitted through the Q&A box and attendees will receive a recording and slides by email after. It also notes that 84% of CEOs are concerned about data quality according to a Forbes/KPMG survey. The webinar will discuss challenges in data integrity like integrating siloed data and cleansing data from multiple sources, and best practices companies are using for accuracy, consistency and context. It introduces Precisely as a leader in data integrity solutions that deliver trusted data through products for data integration, quality, location intelligence, and enrichment.
Struggling with Unreliable Data? Learn How to Build Trust in Data for Better Decisions
- 1. Struggling with Unreliable Data? Learn How to Build Trust in Data for Better Decisions Panel Discussion
- 2. Housekeeping Webinar Audio • Today’s webcast 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. If we don't get to your question, we will follow-up via email 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. 84% of CEOs are concerned about the quality of the data they’re basing their decisions on. Source: Forbes Insights & KPMG
- 4. Data integrity redefined Data with maximum accuracy, consistency, and context for confident business decision-making
- 5. Challenges in Achieving Data Integrity
- 6. What challenges do organizations face with data integrity? Integrating siloed data from legacy systems to the cloud Profiling, understanding and cleansing data from multiple sources Managing the proliferation of location data Augmenting internal data with third-party datasets
- 7. Results from polling/registration 138 121 46 39 25 What is your top data integrity priority? Responses Integrating data from multiple sources Improving data quality Seeing relationships and patterns in data Adding location insights to data Enriching data with location or demographics
- 8. What best practices are businesses implementing to ensure the data has accuracy, consistency, and context?
- 9. Trends in Data Integrity
- 10. Data Monetization Machine Learning Algorithms & Context Graph Data Democratization Streaming Data through Kafka Cloud-native Deployments Dynamic Demographics
- 12. The global leader in data integrity Trust your data. Build your possibilities. Our data integrity software and data enrichment products deliver accuracy and consistency to power confident business decisions. Brands you trust, trust us Data leaders partner with us of the Fortune 100 90 Customers in more than 100 2,000 employees customers 12,000 countries
- 13. ACCURACY CONSISTENCY CONTEXT On-premises, Hybrid Cloud & Cloud Insurance Cloud Data Warehousing Retail Banking & Financial IT Operations Solutions Customer 360 Data Integration Data Quality Location Intelligence Data Enrichment Foundation INTEROPERABLE | INTELLIGENT | DYNAMIC Telco Government Healthcare Data Governance The Precisely Data Integrity Suite
- 14. Thank you!
Editor's Notes
- #9: Based on your experience working with customers, what best practices have you seen customers deploy to address: Data quality challenges (Navin) Data integration challenges (Matt) Data enrichment (Andy) Location intelligence challenges (Clarence)
- #14: In the center of the diagram, you can see the core competencies of the suite – data integration, data quality, location intelligence, and data enrichment. Each of those offers unique capabilities that solve data challenges – capabilities like data profiling, spatial visualization, integration of data into a cloud data warehouse, and more. You can choose just the capabilities you need to solve your challenges. Beneath those capabilities you see a foundation that integrate the suite’s capabilities when they are implemented together. As future releases of the suite are delivered, you’ll see additional work done on the foundation to enhance interoperability, expand the way it applies machine learning to tough data integrity challenges, and dynamically response to its environment – taking the suite’s ability to deliver data integrity to the next level. The suite integrates at all levels with today’s leading data technology providers. Our certified integrations and strategic relationships with partners like Collibra, Databricks, and Snowflake ensure more than just coexistence, but technical and workflow integration with the market-leading technology your business runs on today. And the suite offers APIs that enable developers to expand on its capabilities. So, your in-house team can build solutions to your unique requirements. But let’s talk a bit more about the suite’s core capabilities.