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25 Years of Global Insights: The Definitive Checklist for Investment Management System Success (Part 3 of 3)

Replacing a legacy investment management system is a strategic opportunity and at the same time a significant undertaking. Not only for the organization and its underlying infrastructure but also for the teams driving the transformation. Navigating questions and concerns around vendor contract, budget, operating model, functional requirements, methodology, timelines, and resource allocation can be overwhelming. 


What should the new system be able to support? Which project approach should be adopted? How long is it going to take? How many people do we need and which skillsets will be required? These are just some of the many questions needed to be answered when embarking on a large-scale transformation project. 


About This Series 

Drawing on Dimensional Community’s 25+ years of global implementation experience through our consultancy network, we have identified the patterns that lead to success and the pitfalls that cause delays. While every organization is unique, certain core principles remain universal. 


This 3-part article series provides a strategic framework for your transformation and migration, serving as a practical checklist to guide discussions before, during, and after your go-live. 


  • Part 1: Pre-Project Planning & Foundation: Vendor strategy, operating model, project management, and change management 

  • Part 2: Implementation & Execution: Core phases, data migration, testing, and stakeholder engagement 

  • Part 3: Go-Live & Beyond: Transition planning, post-implementation support, and operational excellence 

Flowchart with three levels: Planning and Preparation, Execution and Configuration, and Critical Success Drivers. Includes strategies and goals.

What is Covered in Part 3 

In this third and final section of this three-part series, we complete the transformation project by addressing the data migration, go-live event and operational life beyond. We dive into the critical importance of a successful data migration and cut-over orchestration to the vital Hypercare period in the first couple of months post go-live. Very importantly, we also address how your organization can evolve from surviving going live to embracing the possibilities of the new system and platform, exploring how to leverage a scalable architecture to evolve your operations, expand your reach, and finally realize the full growth potential and ROI of your investment. 


Specifically in this blog we will address the following topics: 



1. Data Migration - Reliability Through Repetition

At its core, data migration is the systematic mapping of variables from a legacy system to a new platform. While it sounds straightforward in theory, the reality of complex investment data is rarely trivial. Success depends on two pillars: Format Consistency and Migration Iteration.

 

To ensure a successful migration, you must enforce strict consistency across data sources, mappings and file formats, regardless of the asset class. The goal is to create a repeatable engine and process through several trial migrations. The more data you can funnel into a standardized file format with consistent mappings across all asset classes, the more predictable and faster the load process becomes. Highly unstructured formats, such as PDF files requiring manual data entry, introduce unacceptable risks of human error and should be eliminated from the migration scope whenever possible. 


The Iterative "Trial Run" Strategy 

Data migration is not a single event; it is an iterative cycle. It is unrealistic to expect a 100% success rate on the first attempt. Instead, you should plan for a series of trial migrations designed to flush out edge cases and data anomalies. 

  • Trial 1-3: Identify mapping gaps and dirty legacy data. 

  • Trial 4-5: Refine transformation logic and resolve asset-specific exceptions. 

  • Final Pre-Live: Achieve a 100% success rate to ensure a clean cut-over to the new system.

Colorful funnel diagram illustrating data cleansing. Stages: Discovery, Refinement, Validation. Icons and text highlight process to new system.

Each trial run should result in a cleaner dataset and a more refined runbook, reducing the frequency of errors until the process is seamless and ready for the final production go-live. The number of trial runs suggested above should be considered as guidance only. Continue running trials until you can consistently execute successful migrations with minimal issues and acceptable thresholds. 


For additional information and guidance on data migration in SimCorp One, please refer to our case study on our website here


2. The Go-Live Runbook - Orchestrating the Final Cut-over

The transition from implementation to production is a high-precision event that requires more than just a project plan; it requires a detailed runbook. This document serves as a minute-by-minute script for the Go-Live weekend, ensuring every technical and functional dependency is met in the correct order. 


At a very high level, the main aspects to consider are as follows:


Step 1: Promoting the "Golden Copy" 

The foundation of a successful launch is the promotion of your finalized configuration. Rather than manual re-entry, the process should begin with a full installation refresh from your Golden copy installation to the Production (PROD) environment. This ensures that every signed-off configuration, setting, workflow, and security permission is migrated exactly as it was tested in UAT. 


Step 2: Sequential Data Migration 

Once the PROD environment is configured, the final data migration commences. This is the culmination of the iterative trial runs conducted in the previous chapter. 

  • Base and Static Data: Load core structures, security masters, counterparties, and all other base data first. This can with benefit be done in the GOLD environment prior to the migration itself. 

  • Transactional History: Load either the full history or cut-over opening balances, tax-lots, and unsettled transactions. 

  • Valuations: Import market prices and FX rates to establish the starting market value / NAV. 

  • Reconciliation: Ensure holdings and valuation match between the legacy and new system. 


Step 3: The "T-Minus Zero" Processing 

The final step before handing the keys to the business is running the End-of-Day (EOD) processes for the specific date of the data cut-over, usually the Friday. This is a critical validation step: 


  • It confirms that the newly migrated data settles correctly within the system logic. 

  • It generates the initial set of reports, holdings, cash balances, accruals etc. which the business will use to verify and sign-off on the migration. 

  • It ensures all automated batch jobs and downstream interfaces are working correctly. 


Flowchart showing three steps: Step 1 has Golden Copy to Prod Environment. Step 2 involves data reconciliation. Step 3 is End-of-Day Processing.

A robust runbook also includes clear "Go/No-Go" decision points. By defining clear entry and exit criteria’s and documenting exactly what success looks like at each stage, the project steering committee can make data-driven decisions during the cut-over window, minimizing risk and ensuring a confident start to live operations. 


3. Hypercare and Operational Stabilization

The first few weeks following a go-live cut-over, often referred to as the Hypercare period, are critical for long-term success. During this phase, the gap between theoretical training and real-world daily operations becomes apparent. Having expert, on-site support available to both business and IT users is essential to maintain momentum and morale. 


On-Demand Expertise for Real-Time Resolution

Engaging a third-party consultancy like Dimensional Community during Hypercare provides added safety guarantee which vendors alone often cannot. While vendors focus on technical issues and errors, our consultants focus on business continuity. 


  • Immediate Intervention: We provide hands-on, over-the-shoulder support to resolve issues the moment they arise, preventing small bottlenecks from turning into systemic delays. 


  • Building User Confidence: By working alongside your team to solve real-world problems in real-time, we reinforce their training. This targeted, on-the-job coaching is the fastest way to transition users from learning to becoming self-sufficient. 


A common pitfall is failing to capture the lessons learned during the first months of live operations. While it is tempting to focus solely on immediate tasks, documenting these early wins and fixes is vital: 


  • Internal FAQ & Knowledge Base: We help compile practical FAQ sheets and cheat sheets based on the actual questions asked during the Hypercare period. 


  • Onboarding Roadmap: By documenting the final workflows and system settings, we ensure that future staff can be onboarded quickly without the knowledge drain that often follows a project team's departure. 


Flowchart showing three panels: Immediate Intervention, Building User Confidence, Capturing Lessons Learned. Focus on support and continuity.

This period of intense, expert-led support ensures that the organization doesn't just survive the go-live but thrives in the new environment with a confident and capable workforce. 

For additional information and guidance on Hypercare support, please refer to our case study on our website here


4. Establishing a Center of Excellence (CoE) for Long-Term Self-Sufficiency

The ultimate measure of a successful transformation is not just a smooth go-live, but the organization’s ability to thrive and continuously develop the business independently long after the consultants have left. We have seen many firms struggle post-implementation because they treat the system as a black box rather than an evolving asset. 


The Risk of Post-Implementation Stagnation 

Without a dedicated internal support structure, organizations often find themselves reliant on the vendor for minor configuration tweaks and data anomalies as well as answering day-to-day questions on operational usage of the system. This can lead to: 


  • Operational Friction: Users struggling with workflows they don't fully understand. 

  • Data Integrity Issues: Market data and/or static data errors that go unresolved for too long. 

  • Diminished ROI: The system’s capabilities remain static while the business’s needs evolve. 


The most successful organizations address this by establishing an internal Business Support Team (BST) or Center of Excellence. This team acts as the internal expert tier between the business users, the system capabilities and the system vendor. 


The key responsibilities of the Business Support Team are: 


  1. First-Line Resolution: Investigating and resolving most daily functional queries and issues, ensuring the business stays productive. 


  2. Request Qualification: Acting as a filter towards the vendor. Instead of raising every issue to the vendor’s helpdesk, the BST qualifies and documents technical issues, leading to faster resolution times and only genuine code defects are requested for the vendor to resolve. 


  3. Continuous Improvement: Over time, this team gains the expertise to configure new workflows and implement minor business requirements independently, significantly reducing total cost of ownership. 


By investing in an internal support team, you ensure that the deep system knowledge gained during the project stays within your organization. This team ensures you are continuously getting the most out of your investment, allowing you to adapt to market changes with agility and confidence. 


For additional information and guidance on how to establish an internal Business Support Team, please refer to our blog here


Conclusion: Turning Complexity into Competitive Advantage

A system migration is more than just a technical upgrade; it is a fundamental evolution of your organization’s operational DNA. As we have outlined in this insight series, success is rarely the result of the technology alone. Instead, it is found in the disciplined alignment of people, processes, and data. 


By shifting your focus from "how" to "why," primarily adopting a Waterfall approach to data dependencies, and prioritizing the empowerment of your internal team, you can transform a daunting task into a strategic opportunity. 


Whether you are navigating the steep learning curve of the configuration phase or orchestrating a high-stakes Go-Live weekend, the objective remains the same, to build a scalable platform for the future, which is more resilient, transparent, and efficient than the legacy system it replaces. 


At Dimensional Community, our 25 years of global experience through our consultancy network have taught us that while no two organizations are identical, the pitfalls of a transformation project are remarkably consistent. Our mission is to help you navigate those pitfalls with confidence, acting as your translator, your advocate and your strategic partner from the first RFP question to the establishment of your own internal Center of Excellence. 


A successful implementation does not just end on the go-live date; it begins a new era of self-reliance and growth. We hope this checklist serves as a valuable roadmap for your next transformation journey. 


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