🎥 Webinar: Data Understanding Best Practice
Head of Business Analysts, , Senior Principal Data Engineer, , and Principal Data Engineer, , present on delivery best practices for Data Understanding. Data is fundamental to the Quantexa Platform. To maximize its potential, it is crucial to have a comprehensive understanding of data when designing and configuring your Quantexa deployment. Learn the best practices for achieving optimal data understanding and enhancing the effectiveness of your Quantexa solution. Further Reading: https://community.quantexa.com/kb/categories/113-data-source-onboarding https://community.quantexa.com/kb/categories/110-data-source-onboarding-document-design https://community.quantexa.com/kb/categories/111-data-source-onboarding-entity-design https://community.quantexa.com/kb/categories/112-data-source-onboarding-data-quality
🚀 Join Us for Tomorrow's Webinar: Exploring AI's Role in Tackling Data Quality Challenges
In this webinar, Dan Onions, Global Head of Data Management at Quantexa, and Martin Maisey, Head of Data Management EMEA, will delve into the pressing question on every data professional's mind: "How can AI help me?" Unlock the full potential of your data strategy: As AI technologies, particularly LLMs, become increasingly integral to data management strategies, ensuring the quality and reliability of these systems' outputs is paramount. Our experts will explore the critical role of foundational data quality in harnessing AI effectively and responsibly, and address key challenges, such as achieving consistency and accuracy in AI-generated outputs and aligning them with regulatory standards already on the horizon. Attendees will gain insights into practical applications of AI in the real world, understanding how to make AI outputs on data trustworthy across the entire organization. Learn more and register: Webinar | The Biggest Challenges in Data Quality: How Far Can AI Go to Solve Them? In this webinar, Dan Onions, Global Head of Data Management at Quantexa, and Martin Maisey, Head of Data Management EMEA, will delve into the pressing question on every data professional's mind:
📣Upcoming Webinar: The Biggest Challenges in Data Quality: How Far Can AI Go to Solve Them? 📣
In this webinar, Dan Onions, Global Head of Data Management at Quantexa, and Martin Maisey, Head of Data Management EMEA, will delve into the pressing question on every data professional's mind: "How can AI help me?" Unlock the full potential of your data strategy: As AI technologies, particularly LLMs, become increasingly integral to data management strategies, ensuring the quality and reliability of these systems' outputs is paramount. Our experts will explore the critical role of foundational data quality in harnessing AI effectively and responsibly, and address key challenges, such as achieving consistency and accuracy in AI-generated outputs and aligning them with regulatory standards already on the horizon. Attendees will gain insights into practical applications of AI in the real world, understanding how to make AI outputs on data trustworthy across the entire organization. Register Your Place Here: The Biggest Challenges in Data Quality: How Far Can AI Go to Solve Them? (quantexa.com)Join the Conversation: Highlights from Solution & Industry User Groups 💬
Did you miss out on the latest discussions in our Financial Crime, Insurance, KYC and Data Management Specialist User Groups? Here's what you might have missed: Join a group to stay up to date: 💵 Financial Crime 🛡️ Insurance 🙋♀️ KYC - Know Your Customer 💻 Data Management📣Master Data Management UI Demo & Feedback Sessions
In the coming weeks, we'll be running demo & feedback sessions on our new Master Data Management UI. You'll get to see an exclusive demo of our new UI and provide your feedback and insights in a small focus group setting. Available Sessions (login required): Session 1: Thursday, 13 June (3:30 PM - 4:15 PM BST) https://community.quantexa.com/events/157 Session two: Wednesday, 19 June (9:15 AM - 10:00 AM BST) https://community.quantexa.com/events/158-exclusive-master-data-management-ui-demo-feedback-session-2 Session three: Thursday, 27 June (3:00 PM - 3:45 PM BST) https://community.quantexa.com/events/159 Don't forget to subscribe to the User Research Panel page to stay up to date with other research opportunities!📽️ Master Data Management UI Demo - Watch now
Missed our recent 📣Master Data Management UI Demo & Feedback Sessions? Below, you can watch a short demo previewing Quantexa’s latest advancements in Master Data Management (MDM) capabilities. ✍️We'd love to hear your feedback! Please take a moment to share by completing a short survey: MDM Demo Feedback Survey For completing the survey, you'll receive our User Research Participant badge + points to climb the Community leaderboard 🤝 You can also leave questions & feedback for in the comments below⬇️
Elevating Data Management: Unveiling the Pillars of a Trusted Data Foundation with Quantexa
Hi Community! We are all well aware that data teams are faced with increasingly complex business challenges and not being able to make the most of their data makes it very hard to reach strategic, tactical and operational goals set by their organizations. The solution to that is building a truly trusted data foundation. As part of Quantexa’s ongoing commitment to providing best-in-class Data Management solutions to address the latter, the team at Quantexa has had a brainstorm of what aspects are crucial when choosing one, and what we – as a team – are focusing on when building our solutions. Let’s go through some of the main components. 1. Quick multi-source data ingestion: A common challenge is the complexity and time required to get data in the platform. To address that, we apply intelligent data cleansing and enrichment processes and accelerate data onboarding with low-code, schema-agnostic, scalable, high-performance data preparation and ingestion for both internal and external data sources. 2. Truly accurate data matching through Entity Resolution: Without a holistic view of your data, it’s impossible to make informed decisions. Our AI-powered Entity Resolution uses transparent and tunable models that are designed to address common problems associated with traditional matching methods such as data availability and quality issues with proven 99% accuracy. 3. Quality scoring and corrections: Even with the best matching engines, there is always going to be a need for a Data steward’s input: monitoring and continuous data quality enhancement. We provide tools to review the quality score of each entity down to understanding exactly what contributed to a score, quickly identifying source system issues to address. There is also an easy way to correct the data, e.g. merge entities, without needing to adjust the source data, which is incredibly valuable both for immediate use in your analytics and also for any consuming system. 4. The use of Graph Analytics: Connecting data in a meaningful way is a crucial, but the next step is to really uncover the relationships you need for the business problem you are solving. For that our users are able to use advanced Graph Analytics technology to uncover the intricate networks of real-world connections and relationships between entities – building even complex corporate hierarchies or family relationships. Take a look at our video, where , Solutions Lead, shows examples of these capabilities in the Quantexa platform. Find this article interesting? Check out these related posts: Join our Data Management User Group to connect with peers on this topic and share knowledge and expertise on all things data management.Catch up on the latest from our solution & industry user groups 💬
Here's what you might have missed this month from our Data Management, Financial Crime, Insurance, and KYC Specialist User Groups: How Can Decision Intelligence Help Identify Medical Provider Facilitation & Collusion? Reimagining Monitoring and Detection Advancing Correspondent Banking Insights: Managing Respondent Banks Risk If you haven’t already, join a user group today to stay up to date: 💻 Data Management Open the door to a truly connected view across all your data assets from across internal and external sources, improve data quality, build applications, and take control of master data. 💵 Financial Crime Unlock value in order to make smarter and more informed risk and intelligence-based decisions. 🔍 KYC- Know Your Customer Shift back to the core purpose of KYC in understanding the risk associated with prospects, customers and their related activity across the life cycle. 🛡️ Insurance Brings together all things to do with insurance at Quantexa and looks to enable customers, partners, colleagues and insurance thought leaders to share expertise. Find more of the best from the Community this month in our monthly digest: Quantexa's AI roundup & the best from the Community in JanuaryCatch up on the latest conversations from our Specialist User Groups 💬
Here's what you might have missed this month from our Data Management, Financial Crime, Insurance, and KYC groups: Don't miss our new 'A day in the life of... an Investigator' series 🔎 Entity Quality Management for Data Quality? A Tale of Two Investigations: Transforming Financial Crime Risk Monitoring and Investigations Investigating Network Fraud: 4 Key Areas for Investigators If you haven’t already, join a user group today to stay up to date: 💻 Data Management Open the door to a truly connected view across all your data assets from across internal and external sources, improve data quality, build applications, and take control of master data. 💵 Financial Crime Unlock value in order to make smarter and more informed risk and intelligence-based decisions. 🔍 KYC- Know Your Customer Shift back to the core purpose of KYC in understanding the risk associated with prospects, customers and their related activity across the life cycle. 🛡️ Insurance Brings together all things to do with insurance at Quantexa and looks to enable customers, partners, colleagues and insurance thought leaders to share expertise. Find more of the best from the Community this month in our monthly digest: 📚A day in the life of a... Technical Lead & Best of Community from November
Entity Quality Management for Data Quality?
Data quality is one of the major challenges that organizations suffer from, consuming up to 50% of data users time, costing up to 30% loss in revenue and destroying trust in data. In today's data-dependent business environment, the urgency for impeccable data quality is driven by a confluence of market forces. Fears of reputational damage due to data mishaps, the competitive pressure from digital-first competition, and an array of stringent regulations are pushing companies to reassess their data management strategies. Quantexa's Entity Quality Management (EQM) solution enhances the efficiency and effectiveness of data remediation by tailoring campaigns to align with evolving business needs. It directs remediation activities through the efficient remediation channels, from hands-on steward workflows to automated prompts in customer portals and CRM systems. Validated in production environments, Quantexa's EQM solution has integrated more than 80 data sources, achieved a 9% rate of deduplication, and uncovered 2.5 million matches that competing solutions overlooked. Simultaneously, it has effectively identified cases of overmatching and facilitated the prioritization and support of 1,000 merge reviews on a weekly basis. How does it work? Quantexa's Entity Quality Management solution seamlessly ingests a wide array of data, irrespective of its origin, embracing both internal and external sources with a model-agnostic approach that ensures rapid integration. It employs sophisticated AI/ML models to automatically parse, cleanse, and standardize data, laying the groundwork for a consistent and reliable data foundation. Source records are then transformed into an accurate single entity view, thanks to Quantexa's scalable and highly-accurate entity resolution capability. The solution assesses each record, applying a set of rules designed to identify and rectify any anomalies, such as historical overlinking, underlining, potential duplicates, and various attribute inconsistencies, enriching the data's integrity and reducing false positives. The user experience is elevated through interactive dashboards that provide dynamic visualizations, breaking down data by various quality indicators, technical specifications, and business attributes, thus enabling a thorough understanding of data quality and the focused identification of areas for remediation. By leveraging Quantexa’s EQM solution, organizations achieve situational awareness of data quality across the enterprise, enabling a focused approach to remediation. As a result, businesses can prioritize their data quality efforts efficiently, targeting areas of most significant impact and aligning remediation tasks with current business priorities and operational demands. Integration with key enterprise services facilitates a seamless and effective data quality management process.
