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

Broadridge Enhances Investigo Solution with Customized Data Scrubbing Capabilities

Subscribe to our newsletter

Broadridge Financial Solutions, announced today the development of a flexible two-tier Data Scrubbing Service as an enhancement to its Investigo insurance and investment data aggregation solutions.

This enhancement adds a flexible, rules-based, data scrubbing engine to the already robust aggregation capabilities of the Investigo solution. The new Investigo data scrubbing engine identifies unreconciled positions and cash balance conditions and validates specific elements of the custodial data.

Failed validations can be held from posting to the Investigo database until being analyzed by a dedicated team of operations personnel who identify the root cause of the failure. Appropriate action is then taken to address the anomalies in the data. Once corrected, the data is reprocessed for posting to the Investigo database.

“Quality data is the key to successful back-office operations and advisor client interactions. Enhancing data quality encompasses more than just finding and fixing missing or inaccurate data elements. It means delivering comprehensive, consistent, relevant, and timely data for fulfilling mission-critical needs,” said Kevin Normoyle, President – Securities Processing Solutions U.S., Broadridge. He continued, “Poor data quality costs financial services firms and their advisors vast amounts of money, leading to poor decisions and inferior customer service. The Investigo Data Scrubbing Service addresses the most pervasive and challenging data quality issues confronting data aggregation solution providers and the firms they serve.”

The Investigo Data Scrubbing Service:

Tier One: A flexible, rules-based, automated data scrubbing engine.

Automatically identifies unreconciled transactions and missing data elements and applies fixes, when possible, based on a configurable set of rules in the data scrubbing engine.

Tier Two: A manual data scrubbing service performed by a team of dedicated data stewards. All failed validations that cannot be automatically corrected with the automated data scrubbing engine can be held from posting to the database until the failure is analyzed. Once the appropriate action is taken and the failure is corrected, the data is reprocessed for posting to the database.

“The highest level of data quality is obtained when both tiers of the Investigo Data Scrubbing Service are used. Broadridge continues to make significant financial investments to upgrade the Investigo architecture and infrastructure to improve the responsiveness and scalability of our application. We recognize that our customers are highly dependent upon accurate data delivered in a timely manner. Our goal is for Investigo to be recognized as the ‘Gold Standard’ of data,” concluded Mr. Normoyle.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Date: 8 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for...

BLOG

The Year in Data: Agentic AI Points to a Future of Efficiency

Touted as the next frontier of artificial intelligence, agentic AI hogged the data management headlines in 2025. Seemingly ushering the realisation of the no-more-drudge-work predictions that heralded the arrival of general AI years back, agentic AI has certainly become the target of institutional investment and developer innovation in the past 12 months. According to a...

EVENT

TEST Event page 2

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry 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.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...