What is Data Quality and why does it matter?
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 »
Got three minutes? Get all you need to know on ADQ!
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 »
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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What are Large Language Models (LLM) and GPTs?
Data remediation: Identifying and correcting errors, inconsistencies and inaccuracies in data to ensure quality and accuracy.
What are Large Language Models (LLM) and GPTs? Read More »
Net Promoter Score: H1 2024
Please find our latest Net Promoter Score below. Not seeing a form? Please contact your account manager for more information.
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Preparing Your Data for AI: Register for our webinar with BigID
The impact of Large Language Models (LLMs) cannot be overstated. In just twelve months, the use of generative AI in everyday life has become commonplace, with GPT-aided processes embedded in apps and websites enhancing and augmenting everything from school essays to startup pitch decks. In their respective roles as Chief Data Officer at BigID, and
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5 Steps to Build the Case for Data & Analytics Governance
The task of creating a compelling business case for data and analytics governance is often complex and daunting. In this blog, we break down the big picture into five simple steps to follow and turbocharge your data management strategy. Why is data and analytics governance important? Data and analytics governance is crucial for organisations
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Typical deployment architecture
Our platform is highly configurable and supported by our expert DevOps team.
Typical deployment architecture Read More »
Additional support
Alongside our Deployment options we provide a range of support.
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Solution configuration and building
Leverage our team’s expertise to support your delivery.
Solution configuration and building Read More »
Requirements
Datactics software components offer flexibility, allowing users to access the rule building studio from various environments, providing convenience and adaptability. Installations require:
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 is Data Remediation?
Data remediation: Identifying and correcting errors, inconsistencies and inaccuracies in data to ensure quality and accuracy.
What is Data Remediation? Read More »
Top 5 Trends in Data and Information Quality for 2023
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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What is Data Integrity? Why is Data Integrity Important?
Data integrity is the process of maintaining the accuracy and completeness of data over its entire life cycle and how it is applied..
What is Data Integrity? Why is Data Integrity Important? Read More »
