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

Federated Investors Implements Cadis EDM to Improve Data Management

Subscribe to our newsletter

Federated Investors is implementing the Cadis enterprise data management (EDM) platform to increase operational efficiency, reduce risk and manage data across multiple acquisitions that have supported the $370 billion asset manager’s growth in recent years.

The selection of the Cadis EDM, a service oriented architecture (SOA) platform that allows data to be accessed wherever it is rather than moving it all into a central repository, followed a 10-day proof of concept at Federated Investors. This included software installation, sorting out data problems, training staff and proving the business value of the system and its ability to handle increasing data volumes and complexity going forward.

An initial implementation of the EDM at Federated Investors will cover securities master data along with holdings, accounts, indices and benchmarks. Typical implementation times are three to six months with Cadis encouraging customers to define specific business objectives and develop the data platform project by project.

Commenting on the asset manager’s choice of data management solution, Federated Investors’ vice president and principal business strategist Jim Wallace says: “As a company we are continually looking for ways to increase operational efficiency and reduce risk. During the proof of concept, we were impressed by the flexibility of the Cadis EDM platform in handling multiple data sets. By implementing this solution we will allow all departments within our organisation to become much more efficient when enhancing, moving or auditing data.”

Stuart Plane, managing director of Cadis, sees Federated Investors’ desire to improve data management and transparency replicated across many financial institutions. “Federated Investors was looking for a data management platform that could manage across multiple funds and manage growing volumes of data and increasing scrutiny of that data,” he says. “In general, one of the biggest challenges of data management is credibility as it has developed a poor reputation over the past 10 to 15 years with nine out of 10 projects failing to achieve their aim of improving data clarity.”

Plane notes that despite repeated failure, most competition for data management solutions still comes from internal IT departments, but he expects the tide to turn as companies are required to manage ever-larger volumes of data. “We have towards 60 reference sites worldwide, so it’s patently clear that the software works, but the need is to prove that it will still be working well to solve business problems in three to five years’ time,” he says.

Building on the EDM platform’s SOA base, which consumes data from various silos, validates and cleans it, and then publishes it to data consumers, Plane sees the need to continually develop the software to manage growing data volumes. Cadis is working on new ways to visualise big data and is also pushing out its software-as-a-service cloud model that was introduced last year and has found favour with three or four customers.

Plane expects cloud services to become more popular as the data management burden increases, but in the meantime he hopes to sign up two or three more clients for the enterprise version of the Cadis EDM over the next couple of weeks and take the customer base to over 60.

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

Data Fabric vs. Data Mesh: 10 Companies Provisioning Modern Data Architectures for Enterprise AI

As institutions absorb ever greater volumes of data to meet their increasingly complex operational needs and those of regulators, they face a dilemma of how to store and distribute that critical information. Fragmented legacy systems have long been an impediment to the smooth management of data and now corralling multiple-cloud configurations can be added to...

EVENT

RegTech Summit New York

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

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...