Data Quality

Datactics placed in the 2024 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions 

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’ […]

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Shaping the Future of Insurance: Insights from Tia Cheang

Tia Cheang, Director of IT Data and Information Services at Gallagher, recently delivered an interview with Tech-Exec magazine drawing from her knowledge and experience in shaping the future of the insurance industry at one of the world’s largest insurance brokers. You can read the article here. Tia is also one of DataIQ’s Most Influential People

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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 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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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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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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Data Quality fundamentals driving valuable Data Insights in Insurance

what is driving the demand for self service data quality in insurance

Data in a Changing World The Insurance industry traditionally uses data to inform decision-making and manage growth and profitability across marketing, underwriting, pricing and policy servicing processes. However, like most established financial institutions, insurance companies have many data repositories and different teams managing analytics functions. Traditionally, they also struggle to share this information or communicate

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The Changing Landscape of Data Quality

changing landscape of data quality, the drivers and benefits of a holistic self service data quality platform

The drivers and benefits of a holistic, self-service data quality platform | Part 1 Change There has been increasing demand for higher and higher data quality in recent years – highly regulated sectors, such as banking have had a tsunami of financial regulations such as BCBS239, MiFID, FATCA, and many more stipulating or implying exacting

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Gartner Magic Quadrant Blog 1 – What is the Gartner Magic Quadrant?

gartner, what is the magic quadrant

Last month, we at Datactics were delighted to announce that we had been recognised in this year’s edition of the Gartner Magic Quadrant for ‘Data Quality Solutions’. This is a remarkable achievement for everyone associated with the company, as we make our first appearance on the quadrant, gaining industry recognition for our sophisticated technology and

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Rules Suggestion – What is it and how can it help in the pursuit of improving data quality?  

rules suggestion

Written by Daniel Browne, Machine Learning Engineer Defining data quality rules and collection of rules for data quality projects is often a manual time-consuming process. It often involves a subject matter expert reviewing data sources and designing quality rules to ensure the data complies with integrity, accuracy and / or regulatory standards. As data sources

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Get ADQ 1.4 today!

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.