Blog

Read up on our technical blogs, covering technology & AI, data management and data quality, and insights from the market.

Battling Bias in AI: Models for a Better World

Battling Bias in AI Models for a Better World

At Datactics, we develop and maintain a number of internal tools for use within the AI and Software Development teams. One of which is a synthetic data generation tool that can be used to create large datasets of placeholder information. This was initially built to generate benchmarking datasets as another method of evaluating software performance, …

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Semantic Analysis of Free Text and Why It Matters

Semantic Analysis of Free Text and Why it matters

Shauna Leonard recently spoke at the Women in Techmakers conference at Queen’s University Belfast. Her talk looked at the Semantic Analysis of Free Text and how it applies to her work with a UK government organisation. Read Shauna’s talk below. What is Semantic Analysis of Free Text? It is the process of drawing meaning from …

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Outlier Detection – What Is It And How Can It Help In The Improvements Of Data Quality? 

Outlier Detection

Identifying outliers and errors in data is an important but time-consuming task. Depending on the context and domain, errors can be impactful in a variety of ways, some very severe. One of the issues with detecting outliers and errors is that they come in many different forms. There are syntactic errors, where a value like …

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Fortnightly Round up: A brand new partnership and upcoming panel appearances

Fortnightly Round up: A brand new partnership and upcoming panel appearances

April is nearly over and we’re back to share with you exciting news about events, new content, and panel appearances! Datactics has partnered with MANTA Datactics’ customers will benefit from the new partnership in addressing complexities around data in motion, by leveraging MANTA’s lineage capabilities alongside Datactics data quality and matching expertise through their Self-Service …

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Data Quality Management – Gain The Competitive Edge

Managing data assets has become a way to gain competitive advantage for businesses and is a keen focus area for regulatory bodies around the globe. With the emergence of data standards and a plethora of technology businesses, the data management landscape has never been so competitive.  The following blog will look at how to maximise …

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Building a Data Fabric with Datactics Self-Service Data Quality

Building a Data Fabric with Datactics Self-Service Data Quality

If you consider data as the lifeblood of your organization, trying to manage it in a static, distributed fashion seems like a challenging and almost futile exercise. Adopting a data fabric or mesh approach is important as it enables better management of data in-motion as it flows throughout the organization. Moreover, it allows for potential …

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Datactics wins Most Innovative Data Quality Initiative at the A-Team awards

Most Innovative Data Quality Initiative Award

Datactics has won the Most Innovative Data Quality Initiative at the A-Team Group’s Innovation Awards 2022 which celebrate projects and teams that make use of new or emerging technologies to deliver high-value solutions for financial services.   Datactics won the A-Team Innovation award for the creation of Rapid Match, a system which allowed financial analysts to …

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How Data Quality Tools Deliver Clean Data for AI and ML

How Data Quality Tools Deliver Clean Data for AI and Machine Learning

In her previous blog Dr Fiona Browne, Head of AI and Software Development, assessed the need for the AI and Machine Learning world to prioritise the data that is being fed into models and algorithms (and you can read it here. ) This blog goes into some of the critical capabilities for data quality tools …

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4 Data Quality Tool Features for Improving Open Datasets

The rise in popularity of open datasets has seen an increase in light of the Covid-19 Pandemic. With more people thirsty for data, there exists a need for technology solutions to ensure open datasets are maintained and reliable.   Open datasets consist of structured data that is machine readable and typically used by individuals, financial services …

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The Importance of Data Quality in Machine Learning

the importance of data quality in machine learning

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 …

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How to Improve Operations with Data Monitoring and Matching

how to improve operations with data monitoring and matching

The National Digital Policing Strategy discusses some of the challenges the police are facing in terms of achieving digital transformation. Among them, legacy technology lock-in, conservative risk appetite and inconsistent understanding of data are listed as key barriers. In our experience, data quality monitoring and matching is key to achieving operational efficiency.  ‘Policing in the …

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“The level of experience within the team is inspiring…” Victoria Wallace: National Apprenticeship Week

the level of experience in the team is inspiring

We thought we would mark Apprenticeship week by involving our very own Systems Administration apprentice, Victoria Wallace, who has been completing her apprenticeship with Datactics alongside studying at Belfast Met.  In this blog, Victoria chats about her experience in technology so far, her apprenticeship, the skills she has been acquiring, and of course, her experience …

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ESG Data & Regulatory Standards: Green Tape ?

ESG data and regulatory standards green tape

Environmental, Social and Governance Factors    “Over the long-term, environmental, social and governance (ESG) issues- ranging from climate change to diversity to board effectiveness- have real and quantifiable financial impacts…” So noted BlackRock  chief executive Larry Fink in the wake of the Paris Climate agreement, following the United Nations’ (UN)  adoption of the Sustainable Development Goals.    Since Fink’s 2016 …

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