To save you scrolling through our website for the essential all you need to know info on ADQ, we’ve created this handy infographic. You can download a version of it from the button below the graphic. Happy reading! As always, don’t hesitate to get in touch if you’re looking for an answer that you can’t find here. Simply hit ‘Contact us’ with your query and let us do the rest. Wherever you are on your data journey, we have the expertise, the tooling and the guidance to help accelerate your data quality initiatives. From connecting to data sources, through rule building, measuring and into impr ..read more

Belfast, Northern Ireland – 5th April, 2024 – Datactics, a leading provider of data quality and matching software, has been recognised in the 2024 Gartner Magic Quadrant for Augmented Data Quality Solutions for a third year running.   Gartner included only 13 data quality vendors in the report, where Datactics is named a Niche Player. Datactics’ Augmented Data Quality platform (ADQ) offers a unified and user-friendly experience, optimising data quality management and improving operational efficiencies. By augmenting data quality processes with advanced AI and machine learning techniq ..read more

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Why does FSCS compliance matter? HSBC Bank plc (HBEU) and HSBC UK Bank plc (HBUK)’s January 2024 fine, imposed by the Prudential Regulation Authority (PRA) for historic failures in deposit protection identification and notification, alongside the 2023 United States banking crisis, jointly serve as stark reminders of the importance of depositor protection regulation. Both events, emblematic of the broader challenges faced by the banking sector, underscore the necessity of rigorous data governance and quality for FSCS compliance and depositor protection. HSBC’s penalty, the second largest impose ..read more

What are Large Language Models (LLMs) and GPTs? In today’s rapidly evolving digital landscape, two acronyms have been making waves across industries: LLMs and GPTs. But what do these terms really mean, and why are they becoming increasingly important?  What are Large Language Models (LLMs) and GPTs? As the digital age progresses, two terms frequently emerge across various discussions and applications: LLMs (Large Language Models) and GPTs (Generative Pre-trained Transformers). Both are at the forefront of artificial intelligence, driving innovations and reshaping human interaction ..read more

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In an era where data drives strategic decision-making, data governance and the quality of that data become increasingly vital. Building a business case for data governance can bring a number of enterprise-wide benefits, especially in sectors like banking and financial services, where the risk-focused mindset can sometimes overshadow the potential to become data-driven. However, when it comes to winning buy-in internally, it can be a challenge to communicate the value of investing in a data governance and analytics programme. The success of a data governance programme isn’t just influenced by ..read more

In the digital era, data is essential for every organisation, meaning good data management is needed to empower businesses to make well-informed decisions and operate efficiently. However, this can be a challenging landscape, encompassing catalogs, lineage, observability, master data management, and data quality.  We’re at a point now where institutions’ data estates are rapidly expanding. Stretching from legacy systems to cloud migrations and data warehouses, and spanning relational databases to unstructured documents, the importance of data quality has never been greater. This, coupled ..read more

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We are currently in an exciting area and time, where Machine Learning (ML) is applied across sectors from self driving cars to personalised medicine. Although ML models have been around for a while – for example, the use of algorithmic trading models from the 80’s, Bayes since 1700s – we are still in the nascent stages of productionising ML. From a technical viewpoint, this is ‘Machine Learning Ops’ or MLOPs. MLOPs involve figuring out how to build, deploy via continuous integration and deployment, tracking and monitoring models and data in production.  From a human, risk, and regulatory ..read more