About a-team Marketing Services

A-Team Insight Blogs

ASG Announces New Model for Data Intelligence

Subscribe to our newsletter

ASG Technologies, at its annual EVOLVE customer conference held in Florida last week, announced a dynamic new trust scoring capability for ASG Data Intelligence, its metadata management solution, designed to help Chief Data Officers provide self-service access to trusted data.

With a (patent pending) trust model, the new solution will help data consumers to identify and understand available data and evaluate its potential fit and value for both human and artificial intelligence/machine learning-driven analytics.

As part of its process to develop the new product, the firm conducted market research to explore how organizations think about trust, which factors are the most objective and relevant for measuring trust, and which barriers make understanding data difficult.

Trust historically relies on data quality measures, stakeholder collaboration and crowdsourced reviews. While relevant, this can lead to a partial and even biased understanding of data, where the business impact of trying to use data that is of poor quality or fit isn’t realized until well into the analytics.

“Our analysis concluded, among other things, that trust is multi-faceted, it’s organic and evolves over time, and a “one size fits all” approach for enterprises and their data is impractical,” says ASG.

Instead, the firm attempted to define a next-generation trust model for data understanding – where a data item’s trust is dynamically computed based on the value of one or more facets whose values are determined by logic and metrics within (or external to) the Data Intelligence solution.  Trust scores are measured over time and rich policies drive automated actions such as instantiating workflow when a score falls below (or rises above) a threshold.

“Data management leaders are investing in people, processes, and technologies serving both offensive and defensive data strategies,” says Marcus MacNeill, Senior Vice President of Product Management at ASG. “Data consumers, from data analysts to data scientists with diverse analytics goals and data literacy skills, need to confidently understand and assess available data.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Streamlining trading and investment processes with data standards and identifiers

Financial institutions are integrating not only greater volumes of data for use across their organisation but also more varieties of data. As well, that data is being applied to more use cases than ever before, especially regulatory compliance and ESG integration. Due to this increased complexity of institutions’ data needs, however, information often arrives into...

BLOG

AI is Helping to Solve New ESG Data Challenges: ESG Briefing Review

The peculiar demands that ESG data integration places on capital markets participants requires powerful techniques that are increasingly being provided through artificial intelligence, A-Team Group’s recent ESG Data and Tech Briefing London heard. From data quality monitoring and analytics to supply chain analysis and investment management, AI-based tools are already offering automated solutions to some...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...