We started by looking at why data matching is a key part of any AML & KYC process. It’s made more complex by the different standards, languages, and levels of quality in the different data sources on which firms typically rely on. It’s expensive too: a recent Refinitiv article states that some firms are spending up to […]
All things AML and FinTech Finance: Virtual Arena – weekly round-up Read More »
There is a lot of anticipation surrounding Artificial Intelligence (Al) and Machine Learning (ML) in the media. Alongside the anticipation is speculation – including many articles placing fear into people by inferring that AI and ML will replace our jobs and automate our entire lives! Dr Fiona Browne, Head of AI at Datactics recently spoke at an IRMAC (Information
IRMAC Reflections with Dr. Fiona Browne Read More »
In late 2019 our Head of AI, Dr Fiona Browne, delivered a series of talks to the Enterprise Data Management Council on AI-Enabled Data Quality in the context of AML operations, specifically for resolving differences in dataset labelling for legal entity data. In this blog post, Fiona goes under the hood to explain some of
Dataset Labelling For Entity Resolution & Beyond with Dr Fiona Browne Read More »
At the recent A-Team Data Management Summit Virtual, Datactics CEO Stuart Harvey delivered a keynote on “Self-Service Data Quality for DataOps – Why it’s the next big thing in financial services.” The keynote (available here) can be read below, with slides from the keynote included for reference. Should you wish to discuss the subject with
Self-Service Data Quality for DataOps Read More »
Yes of course Santa has data quality issues! Everyone has data quality issues. In this article, we outline how Datactics software can help Santa improve the efficiency of his pre-Christmas operations and have a stress free Christmas Eve delivery and a relaxing Christmas Day. Data Quality Firewall, REST API, Data Quality Remediation Datactics provides a
How Datactics helps Santa with his Data Quality issues Read More »
Datactics is pleased to demonstrate AI-Enabled Data Quality in our EDM Webinar. Featuring Datactics CTO, Alex Brown; Dr. Fiona Browne, Head of AI; and CEO, Stuart Harvey covering a practical use case for AI in entity resolution. Co-hosted by EDM Council and Datactics. Watch it online here: https://register.gotowebinar.com/recording/8207973451637805825 This webinar provides an overview of AI and
Datactics demonstrates AI-Enabled Data Quality in EDM webinar Read More »
Here at Datactics, we’ve recently done a number of Transliteration matching tasks helping people with Japanese, Russian Cyrillic and Arabic data sets. Transliteration matching can seem challenging, especially when presented with text that you don’t understand, but with the right techniques a lot can be achieved – the key is to really understand the problem
Entity Match Engine for Customer Onboarding. Challenges and facts from EU banking implementations. Customer onboarding is one of the most critical entry points of new data for a bank’s counterparty information. References and interactions with internal systems, externally sourced information, KYC processes, regulatory reporting and risk aggregation are all impacted by the quality of information
Who are you really doing business with? Read More »
As promised in the first blog on the topic, we’re taking a look at achievable New Year’s resolutions that are within reach, whether you’re a Chief Data Officer overseeing broad strategy or a subject matter expert using data day-to-day, regulations (GDPR Compliance anyone?) are looming. This part takes “I need to exercise more” and turns it into
Ok, data: it’s couch to 5K time Read More »
With Snowflake connectivity, SQL rule wizard and the ability to bulk assign data quality breaks, ADQ 1.4 makes end-to-end data quality management even easier.
