About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Datactics Brings AI-Powered Augmented Data Quality Solution to Market

Subscribe to our newsletter

Datactics, a provider of data quality software solutions, has productised the Augmented Data Quality Solution (ADQ) it previewed in June 2023 and is working with customers on an upgrade rollout. The solution is designed to make faster and more efficient AI-powered data quality accessible and beneficial to all through an enriched user interface and more expansive implementation of machine learning functions.

ADQ covers the spectrum of end-to-end data quality management including data profiling, cleaning, matching and remediation without the need for coding, and uses the power of AI to provide meaningful data quality insights on data breaks, causes and outliers. By reducing manual effort and increasing accuracy the solution also eliminates potential delays in data remediation workflows.

“ADQ makes use of the power of machine learning in a very practical way that will help a data governance professional do their job faster and better,” says Stuart Harvey, CEO at Datactics. “It can improve data quality time to value for an analyst struggling to choose the most efficient rules for complex data via automated rule suggestion. Having created rules to measure and remediate broken data, ADQ can be used to further root cause analysis by understanding whether data quality improvements are making a difference over time.”

ADQ includes machine learning extensions that will allow Datactics’ customers to deliver data quality improvements faster, more efficiently and with maximum business impact. Users will benefit from improved profiling, including outlier detection and automated rule suggestion. A new feature, Insights Hub, allows customers to benefit from histories of data quality ‘break/fix’ activities and to perform analysis into which remediations are having the most substantial business impact. It also integrates with data catalogues and lineage systems such as Alation and Solidatus, accommodating both cloud-only and hybrid data architectures.

Harvey says several international clients are already using the system live, and it will be rolled out to other new and existing customers throughout 2023 and into 2024.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Generative and Agentic AI in Financial Markets: What the Data Really Shows

Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at buy-side and sell-side institutions across the USA, UK and Canada, reveals a market in transition: from...

BLOG

12 Leading Providers of Semantic Layers in Modern Capital Markets Data Stacks

Reconciling fragmented financial data across disparate trading systems, risk engines and regulatory reporting pipelines is a challenge that frequently results in conflicting analytical outputs, costly reconciliation cycles, and elevated operational risk under frameworks like BCBS 239 and FRTB. The enterprise response has been a move away from continuous database consolidations towards centralised semantic layers. Positioned...

EVENT

Data Management Summit London

Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...