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

A-Team Insight Blogs

Kiltearn Partners Implements Indata IPM Epic to Centralise Data Management

Subscribe to our newsletter

Edinburgh based investment firm Kiltearn Partners has implemented Indata’s iPM Epic platform to centralise data, deliver data management efficiencies and support business intelligence.

The firm was founded in 2011 and has been using Indata’s Intelligent Portfolio Management (iPM) technology since 2013 to support front-to-back office needs including order management, compliance, portfolio modelling, accounting, performance and reporting. Substantial growth from less than $1 billion to over $7 billion of assets under management in the past few years led the firm to re-evaluate its investment systems and select Indata’s iPM Epic software as an enterprise data management platform. iPM Epic includes big data technology tools and integrates with iPM to centralise data across the firm.

Stuart Gunderson, chief operating officer at Kiltearn Partners, says: “The strength of Indata’s iPM Epic system is that it allows us to extend our capabilities to be able to capture and work with data in ways that are beneficial to our operations and marketing efforts. Operationally, we are now better equipped to streamline our outside data feeds through Epic. Epic also provides tools to centralise data. This creates many efficiencies and eliminates the inefficient and labour intensive process of trying to extract data from different systems and bring it together for analytical or business intelligence purposes.”

Avoiding sometimes lengthy implementation processes associated with stand alone enterprise data management systems, Kiltearn Partners installed and deployed the iPM Epic solution in about a month.

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

AI Won’t Replace Compliance Professionals, but the EU’s AMLA Will Change How They Work

As the EU’s new Anti-Money Laundering Authority raises expectations around AML, firms are moving beyond transaction monitoring towards behavioural intelligence. Adam McLaughlin, Director of Financial Crime at Fenergo, argues that whilst AI will become central to that transition, human judgement remains the deciding factor. Historically, financial institutions have approached anti-money laundering as a process centred...

EVENT

Data Management Summit New York City

Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...