Why risk taking a chance on poor data for training AI? If it’s keeping you awake at night, read on for a strategy to overcome the nightmare scenarios!
Nightmare on LLM Street: How To Prevent Poor Data Haunting AI Read More »
In 2024, our customers have been busy delivering data-driven return on investment for their respective organisations. We wanted to recognise and praise their efforts in our first-ever Datactics Customer Awards! The oak-panelled setting of historic Toynbee Hall provided the venue for the 2024 Datactics Summit, which this year carried a theme of ‘Data-Driven Return on
Datactics Awards 2024: Celebrating Customer Innovation Read More »
Datactics, a leader in data quality software has achieved ISO 27001:2022 Certification for Information Security Management System. The ISO 27001 certification is recognised globally as a benchmark for managing information security. The rigorous certification process, conducted by NQA and Vertical Structure, involved an extensive evaluation of Datactics’ security policies, procedures, people, and controls. Achieving this
ISO 27001:2022 Certification Success Read More »
Data quality refers to how fit your data is for serving its intended purpose. Good quality data should be reliable, accurate and accessible.
What is Data Quality and why does it matter? Read More »
Chloe O’Kane, Project Manager at Datactics, recently spoke at techUK’s Security and Public Safety SME Forum, which included a panel discussion featuring speakers from member companies of techUK’s National Security and JES programs. The forum provided an excellent opportunity to initiate conversations and planning for the future among its members. Read Chloe’s Q&A from
Insights from techUK’s Security and Public Safety SME Forum Read More »
To save you scrolling through our website for the essential all you need to know info on ADQ, we’ve created this handy infographic. Our quick ADQ in three minutes guide can be downloaded from the button below the graphic. Happy reading! As always, don’t hesitate to get in touch if you’re looking for an answer
Got three minutes? Get all you need to know on ADQ! 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’
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
Shaping the Future of Insurance: Insights from Tia Cheang Read More »
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
The Importance of Data Quality in Machine Learning Read More »
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,
How to test your data against Benford’s Law Read More »
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
How You’ll Know You Still Have a Data Quality Problem Read More »
Alexandra Collins, Product Owner at Datactics, recently spoke on an A-Team webinar on the subject of how to build a data quality control framework. In case you missed it, here is everything you need to know about building a data quality control framework using the latest tools and technologies. What are the drivers of change
How to build an effective data quality control framework Read 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
Top 5 Trends in Data and Information Quality for 2023 Read More »
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
Outlier Detection – What Is It And How Can It Help In The Improvements Of Data Quality? Read More »
Data quality may not be viewed as a particularly attractive topic of conversation at a dinner party or a company event, yet it is a critical step for organisations to maximise the value of their information and subsequent decision-making. It is therefore imperative that data leaders make every attempt to raise awareness and educate on
Why should you care about data quality? Read More »
In March 2022 Datactics took advantage of the offer to visit a local high school to discuss AI Ethics and Machine Learning in production.
AI Ethics: The Next Generation of Data Scientists Read More »
The previous two editions of this blog series provided an overview of the Gartner Magic Quadrant from the perspective of someone relatively new to the world of data management, defining what it really means for a scaling business like Datactics to be recognised by Gartner.
Gartner Blog 3 – Key Insights and Takeaways Read More »
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
Data Quality fundamentals driving valuable Data Insights in Insurance Read More »
