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

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

Upcoming Webinar: How to organise, integrate and structure data for successful AI

25 September 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are...

BLOG

Data Quality Posing Obstacles to AI Adoption and Other Processes, say Reports

The rush to build artificial intelligence applications has hit a wall of poor quality data and data complexity that’s hindering them from taking advantage of the technology. Those barriers are also preventing firms from upgrading other parts of their tech stacks. A slew of surveys and comments by researchers and vendors paint a picture of...

EVENT

TradingTech Summit MENA

The inaugural TradingTech Summit MENA takes place in November and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions in the region.

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...