Data quality is pivotal for the efficacy and dependability of AI and ML models. In sectors where precision is paramount, like healthcare and finance, the calibre of data can make or break the predictive power of these technologies.

Introducing the latest milestone in our ongoing dedication to conquering data quality challenges: InvestigateDQ's newest major version is here. This release is driven by three core principles deeply ingrained in our mission:

1. Empowering users with user-friendly technology, ensuring that everyone can participate seamlessly.

2. Tackling even the most intricate and demanding data quality issues.

3. Catering to the ever-evolving real-world use cases we encounter today.

While AI and ML are transformative, they are not a replacement for established data quality best practices and tools. It is crucial to understand their capabilities, potential, and limitations, and to approach them as complementary tools rather than replacements. Using AI/ML as the only solution for data quality is akin to patching a boat's leak with tape – it helps but will not solve everything.

Highly effective reporting and data quality management continues to be a hot topic in the industry. We believe that robust data quality management practices not only increase member engagement but also help solidify members’ trust in the company.

Highly effective reporting and data quality management continues to be a hot topic in the industry. We believe that robust data quality management practices not only increase member engagement but also help solidify members’ trust in the company.

Tom Seel is the technology product manager at Investigate DQ and has been involved since its inception. He has worked in numerous complex data migration and data remediation projects and is passionate about all things data. 

In this Q and A, Tom discusses data quality software tool Investigate DQ and how its origins came from data remediation work. 

Organisations who have immediate access to rich and accurate data will advance faster and to a greater extent than their rivals. Investigate DQ's true value is realised in supporting data-driven strategic growth and business transformation.