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

A-Team Insight Blogs

Datactics Adds Data Quality Manager to FlowDesigner Platform

Subscribe to our newsletter

Datactics has extended its FlowDesigner data quality and matching software with the addition of Data Quality Manager (DQM), a browser-based application that makes the software easier to use and control across a firm with multiple data sources and an existing master data management solution.

DQM works with FlowDesigner to support rapid configuration and management of data quality solutions covering entity, instrument and regulatory data. The application automates the collection of business data from the business lifecycle and provides access to FlowDesigner’s data processing engines, which can process tens of millions of records in memory. It is compatible with multiple data formats and supports the integration of data quality solutions with firms’ existing master data management and data governance systems.

The software also includes Master Record Manager, an element that allows users to set data quality thresholds and manually validate any records that fall below defined levels of accuracy. It also allows the permissioning of DQM users to review and update individual records, as well as view and confirm business rules that have been applied to the data. A business reporting module provides metrics covering levels of data quality across an organisation.

Steve Cowler, chief technology officer at Datactics, explains: “The design goal for DQM was to allow us to integrate easily with client’s existing master data management and data governance systems. DQM builds on FlowDesigner’s strength as a data analyst friendly platform and gives content specialists, as opposed to programmers, the control to integrate data quality projects generated in FlowDesigner into existing business processes and infrastructure with minimal disruption.”

Adding detail on DQM, Stuart Harvey, CEO at Datactics, says: “DQM takes a building block approach that allows users to create data quality and matching processes ranging from proactively monitoring data onboarding to the profiling and remediation of historical data at all levels of an organisation. The software comes with out-of-the-box quality metrics including data completeness, accuracy and data matching to regulatory standards such as the Legal Entity Identifier, as well as to business requirements for data quality such as those outlined in the Enterprise Data Management Council’s Data Management Capability Model. Users can also build their own metrics.”

Datactics’ clients include over 30 global banks and government departments using FlowDesigner and many of these are expected to license the DQM software. To date, the company is working with six firms, a mix of banks and data vendors, on proofs of concept and notes that early adopters of DQM, including CounterpartyLink, which implemented FlowDesigner late last year to accelerate provision of legal entity data to its customers, are reducing the implementation time of data quality projects.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Date: 22 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities...

BLOG

Sanctioned Securities Risk Moves Inside the Portfolio

Sanctions screening in capital markets has traditionally been treated as a specialist compliance concern: one for legal teams, sanctions officers and financial crime specialists to manage through lists, policies and escalation procedures. That view is becoming increasingly difficult to sustain in capital markets, where sanctions exposure can be hidden inside the securities, funds and structured...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

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...