Welcome to Quantexa 2.3 | 2.3.0 Release Announcement
In Quantexa 2.3, you will find: Entity Store, a new component in our set of Entity Resolution capabilities; Introduction of Security Model V2, a new way to manage Role-Based Access and Control within The Quantexa Platform; Enhancements to Assess including Path Ranking, a new way to define paths; Support for Elasticsearch 8 and Spark 3.2. Entity Store In 2.3.0, we are introducing Entity Store in beta. Before 2.3.0, all interactions with the Quantexa UI and the Quantexa Mid-tier APIs depended upon resolving Entities on-the-fly (dynamically). The Entity Store allows a persisted or materialized view of Entities to be stored in the system. In this first release, the core Entity Store will load a full set of pre-resolved Entities produced by Batch Resolver, into Elasticsearch. The Entity Store can then be used by Explorer to enable querying of the underlying entities, as a Cache for Resolver to improve performance, and to support the new Entity REST API. Security Model V2 We have introduced a new framework for authentication and authorization across the platform. This gives the platform greater control over the data and features that a user can access and enables easier integration with Identity Providers (IdPs). End-users no longer need to interact directly with low-level Quantexa Roles. They are now able to share their work with Groups that are logical to their organizational structure. For example: UK Fraud Investigators. Using a new User Management Screen, you can now provision users and Groups, collections of users that can be assigned Roles and Dynamic Privileges, to The Quantexa Platform from Identity Providers simply and easily. Path Ranking It is now possible to specify the rules for defining the relative importance of paths, a chain of Documents and Entities that connect two Nodes, when writing Network Scores with Path Ranking, which make the Network easier to analyze by signaling the most significant areas to explore further. Dual Context Sources Dual Context Sources enable scoring logic to be designed that will work in both batch and dynamic, and provides a config-based tool that generates Source steps for both pipelines. This simplifies the deployment of a build with a dual architecture. Support for Elasticsearch and Spark Quantexa now supports Elasticsearch 8 across the platform, except for Offline Indexers and Spark 3.2 is now supported across the platform. Warning: Spark 3.0 is deprecated and support will be removed completely in the next release of the platform. Spring Boot upgrade Spring Boot has been upgraded to version 2.6.8. This results in faster startup times and solves a number of security vulnerabilities found in older versions of Spring Boot. Documentation Site Glossary We have completely revamped and reworked our Documentation site glossary, adding almost 100 new terms. Explore the Glossary to find out more. Other highlights For more control and flexibility when running ETL, Quantexa has has added the ability to generate Resolver Search Loader and Compound Creator scripts at the point where users define a Root Model in Data Fusion. List inputs have been introduced for Entity Attribute functions, to allow for more flexibility and customizability, granting users more ways to define Entity Attributes in Data Fusion, and cater to a wider range of data models. You are now able to collapse the Query Builder in Explorer. This is the next step in improving the user experience of Explorer, allowing users to focus on the results of the query. You will find the full set of Release Notes on the Quantexa Documentation site. If you are unable to access them, you will need to get a user with access to submit a Documentation site access request through the Quantexa Support Portal.
Best Practice Guide For Validating Entity Resolution ✅
When either validating or understanding the Entity Resolution within the Quantexa User Interface (UI) it is recommended to approach the process using the following steps: Understand the Entity Resolution Levels required Do a quick initial screen of the Entity and Documents Use the Entity Lab to check for possible over-linking and under-linking. If you aren't familiar with using Entity Lab, be sure to check out Tips & Tricks for Understanding Entity Lab. Document outcomes and raise any required changes to update the resolution Read the full best practice guide (login required): 2. Best Practice For Validating Entity Resolution - Quantexa Community When either validating or understanding the Entity Resolution within the Quantexa User Interface (UI) it is recommended to approach the process using the following steps: Understand Entity Resolution Levels Required It is critical to initially understand the attitude to both false positive / negative resolution. This is…
Entity Quality: The Good, the Bad and the Ugly 🎭
This article looks at Entity Quality and how to judge it based on business need. It introduces Overlinking and Underlinking as a product of Entity Resolution, and these two concepts are two ends of a continuum. Entity Quality is the bedrock of any Entity Resolution (ER) based solution and has implications up and down the Quantexa stack. Getting this right is an essential part of an effective deployment. In this article we look at the basics of how to frame this problem and highlight that context is king for each solution. Read the full article here (login required): 3. Entity Quality: The Good, the Bad and the Ugly - Quantexa Community This article looks at Entity Quality and how to judge it based on business need. It introduces Overlinking and Underlinking as a product of Entity Resolution and these two concepts are two ends of a continuum. Note: All the examples in this article are fictional to illustrate how to approach Entity Quality. Entity Quality…
pKYC: new blog alert!
We recently shared an article on Perpetual Know-Your-Customer (pKYC) covering 7 lessons taken from real-world deployments of Quantexa. No spoilers on the big 7, but you can expect content covering Graph Analytics, Data Accuracy and Automation. My favourite parts of these deployment-focused articles are when we back up our assertions with real client stories. For our loyal Community users, I’ve added a little more detail below: One bank incorporated 9 different data sources into their pKYC offering – both internal and external – achieving a 95% match rate between customers and external data. Another bank are automatically generating entity profiles that link existing customers to new applicants, rapidly assessing the overall entity against KYC metrics. This increased efficiency is leading them to roll out the Quantexa-based system to thousands of users. Have a read of the article here: pKYC: 7 Lessons Banks Can Learn - Quantexa If you would like more information on these case studies or need advice on embarking upon a KYC adventure of your own, please feel free to reach out!
Advancing Correspondent Banking Insights: Managing Respondent Banks Risk
As a follow up to my previous blog on Managing non-customer risk in Correspondent Banking, I have written a new blog on Managing Respondent Banks Risk. 3 key points from the new blog are: Correspondent Banking Risks: The article explores risks in correspondent banking, covering both macro and micro aspects. FATF Recommendations: FATF advises correspondent banks to manage risks through updated customer due diligence on Respondent Banks, considering their customer types, and profiles, with a focus on leveraging technology. Quantexa's Solution: Quantexa's Decision Intelligence platform, using Entity Resolution and Advanced Analytics, offers a tech-driven solution for understanding and managing risks in correspondent banking. Read more in the new blog: How to Manage Correspondent Banking Risk - Quantexa
📢 New Education Program Launch 🚀 | Quantexa User Foundations Release 2
Education Services is delighted to announce Release 2 of the eLearning program Quantexa User Foundations. Release 2 promises a more engaging and efficient learning experience. With a streamlined scope of information, you'll breeze through the program, without sacrificing depth or quality. Moreover, Release 2 features videos, new interactive content, and extended accessibility features. Program components: Introduction to Quantexa Decision Intelligence Platform 🆕 Quantexa Foundations: Core Concepts Quantexa Foundations: Search Quantexa Foundations: Investigations New in Release 2: New Timeline UI Entity Management Product version 2.5.2 Initially, this new version will be launched as an individual package but it will also form part of the Quantexa Investigations Series: AML Investigator program. Later in 2024, it will be integrated into other education programs as part of the release of the new version of the Technical Foundations. For further details on the range of programs our Quantexa Academy offers, read the following Community article: Introduction to the Quantexa Academy.Tips and Tricks for Understanding Entity Lab
Entity Lab can be quite complex to understand and review when searching for Entity Resolution problems. To help with this, we've compiled some tips and tricks for what to watch out for that may help you quickly understand the health of your entities as well as some common shapes you may encounter, including: Signs of Possible Overlinking Signs of Underlinking Possible Aggregation Issues Read the full article: Tips & Tricks for Understanding Entity Lab (login required) Tips and Tricks for Understanding Entity Lab - Quantexa Community Entity Lab can be quite complex to understand and review when searching for Entity Resolution problems. Below are some tips and tricks for what to watch out for that may help you quickly understand the health of your entities as well as some common shapes you may encounter. Signs of Possible Overlinking Look for lots of…
Why Does Entity Quality Matter? & Best of the Community from March
March Top Picks Why Entity Quality Matters 🔐login required Enter our latest competition: The Knowledge Exchange 📝 New Education Programs: Scala & Spark Bootcamp and Quantexa Data Engineer Velocity Program Quantexa & Xander Talent - New Education Partnership 🤝 Elevating Data Management: Unveiling the Pillars of a Trusted Data Foundation with Quantexa Latest from the Community Library 📖 A day in the life of a... Senior Learning Designer A day in the life of... an Academy Trainee How To Test Your Upgrades 🔐login required Updates to Quantexa Supported Versions 🔐login required Upcoming events 🗓️ 3rd May Community Connect 👋 Join for a demo of top Community features. Best of Q&A ✅ Unable to load Batch Scores to Elastic 🔐login required How to fix image style for investigation icon in the Qx UI? 🔐login required Error creating bean with name 'springSecurityFilterChain' 🔐login required New & Popular Ideas💡 Usability increase using 2 screens for investigations 🔐login required Changing the default settings for Graphic Filters in Data Viewer 🔐login required Make updates to metadata.parquet optional 🔐login required In case you missed it 📣 Welcome to Quantexa 2.6 | 2.6.0 Release Announcement 🏆 Badge of the Month: The Name Dropper Badge Community quick links 🚀 Submit and vote for Ideas in our Ideas Portal 🗣️ Join one of our Specialist User Groups: FinCrime, Insurance, Data Management & KYC 📚️ Browse blogs, articles and guides in our Community Library
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.
Why does Entity quality matter?
You might have read that Entity Resolution (ER) and good Entity quality underpins all Quantexa deployments. But what does that mean? Take a look at our article Why Entity Quality Matters to learn some of the wide-ranging benefits having good Entity quality will bring to your deployment. This includes how Entity quality impacts: Scoring Investigation processes Quantexa Batch performance 2. Why Entity Quality Matters - Quantexa Community You might have read that Entity Resolution (ER) and good Entity quality underpins all Quantexa deployments. The purpose of this article is to detail the wide-ranging benefits having good Entity quality will bring to your deployment. In this article we will look at how Entity quality affects the following areas of a…
