How to migrate your ERP: a practical guide to process, data, and ROI

If you’re one of the many manufacturers still using outdated legacy software, migrating to a modern cloud-based ERP system might seem like more trouble than it’s worth.

After all, your team has probably learned to live with the current setup. They might have created spreadsheets or manual fixes, or simply accepted having to navigate the system’s quirks.

But the truth is, sticking with an inefficient platform carries many hidden costs. Relying on stopgaps often leads to avoidable mistakes, and decisions made using inaccurate data can damage everything from customer service to forecasting. Crucially, your team also spends valuable time compensating for a flawed system instead of focusing on the high-level work that grows your business.

Manufacturers know they need modern solutions if they are to innovate and stay competitive. Research by ECI suggests that 34% of UK manufacturers are already using or planning to implement a cloud ERP this year – often in an effort to replace legacy software that no longer serves their needs.

In this article, we’ll take you through the process of migrating to a new ERP step by step – from auditing inefficient habits before you start and cleaning your data before you import, to managing internal resources during the implementation and measuring your ROI after go-live. 

Key takeaways

• Upgrading from a legacy system to a modern ERP connects all of your departments to accurate, real-time data while automating routine tasks, cutting lead times and streamlining manual admin work.
• It is crucially important to audit and streamline your existing routines and data before you migrate to a new ERP. Carrying old mistakes and inefficiencies into the new software will defeat the purpose of the migration and cause your staff to revert to bad habits. 
• Appointing a full-time internal champion gives your business the dedicated leadership needed to oversee a successful ERP migration.
• Ensure your new system is delivering a healthy ROI by tracking post-launch metrics like administrative waste, lead times and stock turnover. 

While you might think an ERP migration is simply a case of installing software, in reality the process should start long before the new system goes live. A cloud-based ERP can only work effectively if your existing processes are streamlined and standardised across departments, otherwise the system will simply digitise your previous inefficiencies. 

Employees using legacy software often develop workarounds over time to keep production moving, including unwritten rules, paper notes, messy whiteboards and private spreadsheets. Before migrating to a new ERP, you need to observe and streamline all of these so-called “shadow processes”, separating those that are essential from those that create disorder and confusion. 

Auditing 12 to 24 months of operational logs will show you which processes can be handled by the new software, and which you need to abandon entirely. Staff who are used to doing things a particular way may ask to recreate an old process inside the new system, but these may just be old habits they’ve developed to deal with flaws in the previous software. 

Before agreeing to keep an old routine in place, trace it back to its actual purpose. Ask whether the step directly fulfills a customer need, a legal requirement or an official quality standard. If it doesn’t, it is likely an outdated habit – one that staff keep repeating simply because they’ve always done it that way. As one Reddit user on r/ERP explained:

“An order sits in pending for 24 hours because there used to be a nightly batch job. Turns out that batch job disappeared years ago, but the delay never did...and then you realise inventory reconciliation isn't even happening inside the ERP. There's just one Excel workbook that somebody updates every afternoon...None of that is written down anywhere.”

By removing inefficient or redundant habits before you migrate, you ensure your new ERP is built around lean, effective processes rather than legacy mistakes. According to our data, 96% of manufacturers cite efficiency as their main reason for adopting technology – and a thorough audit of your processes is the best place to start.

Once you have audited your physical processes, turn your attention to the records moving into the new system. Automated software runs on the data you provide for it, so importing inaccurate part descriptions, incorrect stock counts or outdated supplier lists will simply carry old mistakes forward and stop you from seeing any real operational improvement.

First, clean your master records at the source. Standardise conflicting units of measure, remove duplicate part numbers, archive inactive customer accounts and assign clear internal ownership for each category of data. Then, pay close attention to formatting when you move files over. Something as simple as a duplicated quote or a special character inside a part name can corrupt a spreadsheet during import, leaving you with hundreds of blank or inaccurate product records. As one Reddit user writes:

“One of the most blatant data issues I've encountered is blank item descriptions. I've found this to be due to descriptions containing double quotes and the fields being pushed due to that character being the delimiter. It's frustrating as I can't understand how this basic, poor level of data quality was ever accepted.”

Similarly, resist the urge to amend any data in mid-transit. Always import your records as they are, then update any mistakes in the new software once you are up and running.

Ultimately, cleaning your data is as much about building team confidence as it is about avoiding mistakes. If machine operators or purchasing teams see incorrect inventory figures during their first week using the new platform, they will quickly lose faith in the system and return to their trusted workarounds. Starting with clean, accurate records ensures your team trusts the software as soon as it goes live. 

Once your processes are streamlined and your data is prepared, it is time to configure your new ERP. The biggest cause of delays during this period is scope creep – the temptation to add extra features or custom workflows mid-build. Trying to configure every complex or specialist scenario too early will cause the project to falter and quickly exhaust your implementation budget. To maintain momentum, focus on solving your core pain points first, rather than attempting a total digital transformation overnight. 

Establishing a dedicated leadership group to oversee the migration is another essential way to combat scope creep. An ERP migration cannot be treated as a sideline handed to an IT team or tacked onto a manager’s existing workload. Successful projects require a full-time internal champion – typically a senior operations lead who thoroughly understands how each of your departments run and relate to each other.

Leaders must protect this champion’s time to make sure they are not being diverted onto other projects. Throughout the migration phase, they will need to:

• Liaise with software consultants: Act as the main point of contact for external installers, making sure the software is configured around how the organisation actually works rather than theoretical models.
• Lead user acceptance testing: Run realistic test scenarios with live data to spot glitches, gaps in logic or inefficiencies before the system goes live.
• Train department super-users: Identify key figures in each team and train them early so they can assist colleagues once the software is up and running.
• Handle requests: Evaluate every request from staff for new features during the build, rejecting any non-essential additions that threaten the project’s timeline.

Reaching go-live is a major milestone, but that doesn’t mean the work is over. Even the most carefully configured ERP will take time for staff to adjust to, particularly when the system is replacing inefficient workarounds that staff have become used to. There are several important ways to manage this phase effectively.

During the first few weeks after launch, brief your super-users so they can offer immediate help to anyone who is struggling. When machine operators or inventory teams run into a problem, having a trusted colleague nearby to walk them through the solution prevents frustration and stops staff from reverting to old habits.

Management teams should also set up a quick daily check-in during the early launch period. A short, 10-minute catch-up between department heads and the project champion gives everyone a chance to flag glitches in the system, ask for extra training or highlight small errors right away.

Fixing these minor issues quickly during the first few months shows staff that leadership is receptive, and that the new software can be adapted to make their lives even easier. 

Once you have navigated the initial launch and made any early tweaks, start measuring the new system’s performance against your original objectives. Track core operational metrics over the first 3 to 6 months, including:

• Order-to-shipment times: Are jobs moving through production faster with automated scheduling?
• Stock accuracy and traceability: Has real-time inventory tracking reduced missing parts, emergency orders and physical audit times?
• First-time quality rates: Have digital work orders, CAD drawing attachments and standardised instructions reduced scrap and rework?
• Quoting speed: Are automated Bills of Materials (BOM) tools helping to generate faster and more accurate quotes?

Tracking these metrics will then allow you to calculate your return on investment (ROI) across five main areas:

• Administrative waste: Calculate time spent searching for drawings, chasing updates or re-keying BOMs. Reclaiming just 30 minutes a day across six staff members recovers over 600 hours of capacity a year.
• Mistake costs and scrap: Track hours spent on rework, scrap rates and late order changes. On an £8m turnover, cutting preventable errors in half saves £40,000 a year.
• Working capital and stock management: Measure stock turnover speed and emergency purchase orders. A 10% reduction in inventory levels frees up tens of thousands of pounds previously tied up in warehouse stock.
• Production flow and lead times: Monitor machine downtime, schedule changes, emergency orders and live work in progress.
• Margin control: Compare estimated job costs against final actual costs. Catching cost overruns mid-production rather than weeks after shipping protects profit margins on every job.

Comparing your total annual savings across these five areas against your initial software and rollout costs gives you your true return on investment. With nearly half of manufacturers observing measurable improvements within 12 months of go-live, a well-planned rollout is a far better investment than sticking with legacy software.