Blog

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

How to test your data against Benford’s Law 

How to test your data against Benford's Law

One of the most important aspects of data quality is being able to identify anomalies within your data. There are many ways to approach this, one of which is to test the data against Benford’s Law. This blog will take a look at what Benford’s Law is, how it can be used to detect fraud, …

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How You’ll Know You Still Have a Data Quality Problem

Despite a seemingly healthy green glow in your dashboards and exemplary regulatory reports, you can’t help but sense that something is amiss with the data. If this feeling rings true for you, don’t worry – it may be an indication of bigger issues lurking beneath the surface. You’re not alone. In this blog we’ve taken …

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What Connects James Cameron, Data Catalogs and Data Science 101? CTO Insights with Alex Brown

Matt Flenley recently took some time with Alex Brown, CTO at Datactics, to find out what he’s looking forward to in the year ahead.  You mentioned the other day in our team meeting the market trends towards Master Data Management. Is there anything that you had noted here that you wanted to expand on when …

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Top 5 Trends in Data and Information Quality for 2023

Discover the latest trends in data and information quality for 2023, featuring Data profiling, Data Mesh, Data Fabric, Data Governance, and more.

In this blog post, our Head of Marketing, Matt Flenley, takes a closer look at the latest trends in data and information quality for 2023. He analyses predictions made by Gartner and how they’ve developed in line with expectations to provide insight into the evolution of the market and its various key players. Automation and …

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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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