Welcome to Quantexa 2.5 | 2.5.0 Release Announcement
We are pleased to announce Quantexa 2.5! Read below for a few exciting highlights. Stream Updates to the Entity Store The Entity Store can now be updated with a streamed ingest of new Documents, and creates a change log describing how the Entity population has changed. In combination with the ability to query the full population of resolved Entities, this update enables near real-time access to the most up-to-date view of your data. Why is this important? Users and downstream systems can now get the latest view of an Entity resolved by Quantexa, enabling business processes that need to access or act upon that update in near real-time - in a Master Data Management solution (MDM), for example - to do so. Deploy and Change Custom Scoring Pipelines through Configuration The addition of Scoring Extension Mode to the Assess Template Generation functionality helps simplify the process of setting up Scoring on a project. With the new Extension Mode, it is now possible to change and add new nodes to a custom Scoring model using configuration files. Why is this important? This significantly reduces the technical skills required for setting up the Scoring pipeline and makes the generation of a custom Scoring pipeline more flexible. Flexible Scorecards: Identify and Aggregate Insights Across Multiple Typologies Assess capabilities and helper functions have been added to support multiple Scorecards on the same level within one Scoring pipeline. Scores can contribute to one or more Scorecards and flexible alerting logic can be set up to include the outcome of multiple Scorecards. Why is this important? This enables the flagging of different types of risks or insights at the same level - for different typologies or different products, for example - and helps an investigator or analyst understand and act upon the full context of the data available. Tune Scorecards with QPython QPython utilities can now interact with Assess configuration files and Scoring pipelines, which simplifies the process of tuning a Scoring model, providing an easy way to conduct a what-if analysis. The interface, using pre-written Python Notebooks, calculates a set of the most common and useful metrics for tuning. The use of Jupyter Notebooks allows the export of the reports for inclusion in the wider model governance process. Why is this important? Scorecard tuning is one of the most important parts of model development, as the model must output the most relevant (e.g., risky or interesting) information for a specific use case. These utilities make the process of Scorecard tuning much more accessible, simple, and quick. It also makes sure that the model addresses the business need and risk appetite of the deployment. Other highlights Speed up and simplify deployment of Explorer with no-code configuration; Merge and split Entities, and override Entity Attributes through the Entity Management Panel (e.g., for Master Data Management solutions); Integrate with Kafka streaming typologies more easily. Share your thoughts on this release in our poll: Which feature of Quantexa 2.5 are you most excited for? To receive updates on every release, be sure to follow the Release Announcements topic: Want to learn more? Check out the Release Notes on the Quantexa Documentation site. If you are unable to access the Documentation site, please get in touch with your Quantexa point of contact or the Community team at community@quantexa.com.
📢 New Education Program Launch 🚀 | Quantexa Technical Foundations Release 2
Education Services is delighted to announce Release 2 of our core technical eLearning Program Quantexa Technical Foundations. The Program is an entry point for users planning to work with our Platform in a technical capacity. This group includes future Quantexa Data Engineers, Scoring Engineers, Platform Architects, Business Analysts, and Project Managers. However, it is also an excellent resource for anyone looking to gain a deeper understanding of the Platform’s capabilities and key technical concepts. What’s new? Release 2 has been redesigned to offer a more efficient learning experience, featuring: A revised scope to reduce completion times, New interactive content and quizzes, Enhanced accessibility features, and Update to Demo version: 2.5.2. Program components: Introduction to Quantexa Decision Intelligence Platform Quantexa Foundations: Core Concepts Quantexa Foundations: Search Quantexa Foundations: Investigations Quantexa Foundations: ETL & Data Fusion Quantexa Foundations: Scoring with Assess What does the Release mean for Quantexa’s Customers and Partners? The updated content and format will enable our Customers and Partners to complete the Program more quickly and with less effort (within 3-4 days), allowing them to swiftly progress to more advanced programs and Academies. The Program has been redesigned to be more engaging and interactive, enhancing learning outcomes. Adding new accessibility features and rewriting the content will make the experience more inclusive for international audiences. When will the Program be available? Release 2 will be available as of June 25 for all new learners enrolled directly into the Quantexa Technical Foundations Program. The Program will be integrated (over the course of July) into all technical programs. Migration of eligible users from Release 1 to Release 2 is planned for July, with the aim of streamlining their learning experience. For further details on the range of programs our Quantexa Academy offers, read the following Community article: Introduction to the Quantexa Academy.
FinCrime Detection Pack 0.4 is now available
We are excited to announce version 0.4 of our FinCrime Detection Pack is now available in Early Access. This release introduces new features that will increase flexibility, improve score coverage and optimise score configuration to better capture desired behaviours, characteristics and events. This builds on the functionality released in version 0.3 of the FinCrime Detection Pack. Feature Highlights: You can now apply score logic on a targeted subset of transactions to help you uncover more specific underlying patterns that might otherwise be overlooked. You can now configure transaction score parameters based on the segment a score subject belongs to. This allows you to account for differences and ensure that you are capturing the behaviours and events you’re interested in. You are now enabled to select from a range of appropriate Event Windows to ensure that a score is targeting the desired behaviour or event. Target new risks with additional Score Types You can read more about the release in Detection Pack 0.4 Release (login required) For full details of the release, including compatible Quantexa Platform versions and minor enhancements, please see the Quantexa Documentation site. Release notes Migration guide
Detection Packs 0.3
What are Detection Packs? Detection Packs are a Scoring solution that enables projects to progress more quickly from resolved Entities and generated egocentric Networks to Alerts ready for investigation. Why are Detection Packs important? Using Detection Packs avoids the time and cost associated with writing the same Scores and Pipelines multiple times on different projects. This out-of-the-box Scoring solution provides a set of baseline Scores, so individual projects can focus on developing the complex Scores that match their specific needs. What is in this Detection Packs 0.3 Release? This release adds many new Scores to the FinCrime Detection Pack, and generally improves product maturity with new quality-of-life features. You can read more about the benefits of this Detection Pack release in @Greg_Jones's article (log in required): Detection Packs 0.3 Release For full details of the release, including all of the scores available, compatible Quantexa Platform versions and minor enhancements, please see the Quantexa Documentation site (log in required).
Scoring Concepts Resources
This series of articles explores the foundational concepts behind building a performant and high-quality Batch Scoring solution in Quantexa. Each article breaks down a key component of the scoring process — from network generation and scoreable models to alerting and network pruning — offering practical guidance and design considerations. How will the articles help your team and deployment? Whether you're new to Batch Scoring or refining an existing implementation, this content provides a clear, structured approach to best-practice design. By understanding and applying these concepts, teams can ensure their scoring solutions are efficient, scalable, and investigator-friendly — ultimately driving better outcomes from their Quantexa deployments. Make sure you're signed in to the Community to access the articles. Articles in the series: Scoring Concepts: Run Date Scoring Concepts: In-Scope Customers Scoring Concepts: Scoring Levels and Scorecards Scoring Concepts: Scenarios & Risk Factors Scoring Concepts: Alerting and Re-alerting Scoring Concepts: Write-Once Steps Scoring DAG Design in Assess
Individual Score Tuning Guidance
Tuning happens at different levels of granularity and in the Quantexa scoring model the lowest level of granularity is the individual Score. One or more Scores contribute to a Scorecard and the combined contributions give a total Scorecard value for alerting. The objective of tuning a Score is to show that it identifies intended behavior suitably with the configurations given by business. The recommended approach in Quantexa is above the line (ATL) and below the line (BTL) validation. Guidance for the first stage of tuning which is the individual Score level along with detailed steps of a synthetic worked example are covered in Individual Score Tuning Guidance (login required). Individual Score Tuning Guidance - Quantexa Community Tuning happens at different levels of granularity and in the Quantexa scoring model the lowest level of granularity is the individual Score. One or more Scores contribute to a Scorecard and the combined contributions give a total Scorecard value for alerting. The following guidance will be for the first stage of tuning…Detection Packs 0.2
What are Detection Packs? Detection Packs are a Scoring solution that enables projects to progress more quickly from resolved Entities and generated egocentric Networks to Alerts ready for investigation. Why are Detection Packs important? Using Detection Packs avoids the time and cost associated with writing the same Scores and Pipelines multiple times on different projects. This out-of-the-box Scoring solution provides a set of baseline Scores, so individual projects can focus on developing the complex Scores that match their specific needs. You can read more about the benefits of Detection Packs in 's article (log in required): For full details of the release, including compatible Quantexa Platform versions and minor enhancements, please see the Quantexa Documentation site (log in required).
🎓️ Scoring Academy Pilot - Meet George, a recent graduate! 🎓️
Quantexa's Academy team has been hard at work with our recent Scoring Academy Pilot, aimed at data engineers and data scientists to get a broad overview of our Assess scoring framework. The three months Scoring Academy pilot has seen over 10 students and has been an invaluable opportunity for our Academy team to test out this brand new program, gain useful feedback and make small adjustments where necessary before full launch. The Scoring Academy will see the light in April 2023, delivered by our LMS and providing virtual desktops to get hands on experience. When enrolling the upcoming Scoring Academy, students will learn how to set up scoring pipelines, write different types of scores, develop unit tests & interrogate generated scoring data. While we wait for the launch of the exciting Scoring Academy, we have had the opportunity to talk to a couple of the students who participated in the pilot and successfully graduated. Today, we want to share with you the conversation we had with @George_van_Rensburg, Data Engineer at NextWave Infinium. Keep reading below to find more about George's experience and what to expect in the future Scoring Academy. 1. Please let us know a bit about yourself and your professional background. Any fun fact you would like to share? 😊 Professionally I would classify myself as a Software Developer / Data Engineer. I started my career as a developer at a bank in South Africa. It mostly consisted of work on a legacy system, but I did get some exposure to Big Data while I was there. After that I moved into the consulting space working for a client in the UK. The role involved a lot of Data Engineering and working with Big Data while utilising PySpark. I decided to emigrate to the Netherlands and that’s how I joined Infinium. 2. What do you enjoy most in your role? Being challenged daily and the problem-solving that’s required. 3. Tell us about your Quantexa journey so far. I haven’t been on a Quantexa project yet, but I’ve completed both the Data Engineer Academy and Scoring pilot since I joined Infinium in July 2022. 4. You recently graduated on the Quantexa’s Scoring Academy pilot. Congratulations! Could you describe your experience on the Quantexa Academy in three words? - Challenging - Fulfilling - Interesting 5. How did you find the Scoring Academy pilot? What did you enjoy most during your time as a learner? I enjoyed it. It was nice to delve deep into scoring as I felt it was more of a quick overview in the Data Engineer academy. 6. Is there anything you would like to have seen more of within the Scoring Academy pilot or any improvements that could be made? - Additional mentions of the configuration settings - General revision of the test questions, sometimes ambiguous due to the language used - An event score task included 7. How do you envision putting your Scoring knowledge into practice? Any projects that come to mind? My colleagues have been tasked with creating several scores on a project. Thus, it will be extremely beneficial to share what we’ve learned on the Scoring Academy pilot with them and implement it in future projects. 8. Do you have any advice for future Quantexa Academy learners? Don’t expect everything to make sense at the start. Some things will become a lot clearer when you can see the whole picture. 9. Have you heard about the new Quantexa Community and do you think it will become a valuable resource in your day to day? Yes. Slack was a great resource, but limited due to 6 months of history and a not-so-great search function. Questions and answers are also better organised, which is very helpful. Do you have any questions or comments around the future Scoring Academy? Would you like to enroll when available? Just let us know in the comments below 😊Scoring Concepts: Alerting and Re-alerting 📖
Alerting is the name for the process that comes after Scorecard creation and before Task loading into a Quantexa Deployment. Alerting decides which Subjects in the Scorecard output should alert to the end-users. Re-Alerting is an Alerting process that occurs after the first Alerting cycle, when new Scorecard data becomes available. Re-alerting logic compares a Subject's Scorecard output with all previous Scorecard outputs. The aim of this process is to ensure that there is new material risk that an Investigator would like to review. It is strongly encouraged that all deployments with Batch Scoring implement Alerting. Read about the Alerting Framework, Alerting Threshold, and Score Types in Scoring Concepts: Alerting and Re-alerting. Read the full article (login required): 4. Scoring Concepts: Alerting and Re-alerting - Quantexa Community This article builds upon the concepts introduced in Scoring Concepts: Scoring Levels and Scorecards. Alerting is the name for the process that comes after Scorecard creation and before Task loading into a Quantexa Deployment. Alerting decides which Subjects in the Scorecard output should alert to the end-users. Re-Alerting…🎓️ Scoring Academy Pilot - Meet Johnathan, a recent graduate! 🎓️
We recently shared with you the experience of one of the first students who recently graduated in the new Quantexa Scoring Academy pilot, aimed at data engineers and data scientists to get a broad overview of our Assess scoring framework. The Scoring Academy will see the light in April 2023, delivered by our LMS and providing virtual desktops to get hands on experience. When enrolling the upcoming Scoring Academy, students will learn how to set up scoring pipelines, write different types of scores, develop unit tests & interrogate generated scoring data. While we wait for the launch of the exciting Scoring Academy, we have had the opportunity to talk to another of the students who participated in the pilot and successfully graduated. Today, we want to share with you the conversation we had with @JohnathanJacobs , Data Engineer at NextWave Infinium. Keep reading below to find more about Johnathan's experience and what to expect in the future Scoring Academy. 1. Please let us know a bit about yourself and your professional background. Any fun fact you would like to share? 😊 I have over 6 years of experience in bank consulting in the data space. I have worked in Regulatory Reporting, Anti-Money Laundering, Client Due Diligence, and Data Warehousing. Professionally, I have primarily worked with SAS, PL/SQL, and Scala – though most of my personal projects are in C++. My passion for programming started with developing mods for games I liked when I was about 13, which accounts for the fact that I do hobby game development in my free time. 2. What do you enjoy most in your role? As a consultant I get to be involved in a wide variety of clients and projects, which means that I’m always learning. It’s exciting to always be in the position to have the opportunity to learn, and to share my own knowledge. 3. Tell us about your Quantexa journey so far. I have completed both the Quantexa Data Engineer academy, as well as the Scoring Engineer Academy pilot; in about 7 and 3 weeks (respectively). 4. You recently graduated on the Quantexa’s Scoring Academy pilot. Congratulations! Could you describe your experience on the Quantexa Academy in three words? - Exciting - Tough - Rewarding 5. How did you find the Scoring Academy pilot? What did you enjoy most during your time as a learner? I found it interesting. It was an exciting mix of practical and theoretical knowledge that allowed me to “stretch my legs” mentally. 6. Is there anything you would like to have seen more of within the Scoring Academy pilot or any improvements that could be made? - I feel that the theory test could be refined. Questions are in general vague in comparison to the specific answers required. - There were a few pieces of esoteric configuration strings that were not present in the learning material. It would be greatly advantageous if they were mentioned, as they were needed. 7. How do you envision putting your Scoring knowledge into practice? Any projects that come to mind? Currently, my main aim is to share the scoring knowledge that I have gained. I have colleagues who are implementing scores on various projects who don’t currently have the time to go through the Scoring Academy pilot. With the knowledge from the academy, and their experience, we can work together to gain a deeper understanding and improve implementations. 8. Do you have any advice for future Quantexa Academy learners? Quantexa is a complex platform that takes time to learn. Don’t get hung up on trying to understand everything all at once, the key is to incrementally learn and understand. 9. Is there anything in particular you would like to see on the Quantexa Academy that’s not available at the moment? There is a module that goes over Event Scores, though only in theory. While I can understand the content might be too similar, I believe that the additional practice of implementing it would be worthwhile. 10. Have you heard about the new Quantexa Community and do you think it will become a valuable resource in your day to day? Yes, the new Quantexa Community is quite the step up from the Slack support channel that we relied on. Although the feedback might not feel as immediate, the additional search and discovery features over slack make it a much better platform for learning and sharing knowledge. Do you have any questions or comments around the future Scoring Academy? Would you like to enroll when available? Just let us know in the comments below 😊
