To save you scrolling through our website for the essential all you need to know info on ADQ, we’ve created this handy infographic. You can download a version of it from the button below the graphic. Happy reading! As always, don’t hesitate to get in touch if you’re looking for an answer that you can’t […]
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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 »
Data remediation: Identifying and correcting errors, inconsistencies and inaccuracies in data to ensure quality and accuracy.
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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
Preparing Your Data for AI: Register for our webinar with BigID Read More »
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 in
5 Steps to Build the Case for Data & Analytics Governance Read More »
Our platform is highly configurable and supported by our expert DevOps team.
Datactics software components offer flexibility, allowing users to access the rule building studio from various environments, providing convenience and adaptability. Installations require:
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 »
Data remediation: Identifying and correcting errors, inconsistencies and inaccuracies in data to ensure quality and accuracy.
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 »
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 »
ETL refers to the process of extracting data from a source system, transforming it into the desired format, and loading it into a target system.
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.
