A Multinational electricity and gas utility company migrates to Oracle cloud replacing SAP

Seamless migration from SAP to Oracle with PCL’s SAP Accelerate Migration Tool

The customer had a massive data volume on their SAP. Examples of such data groups are employee profiles, past performance details of employees, training and learning materials, etc., for more than 5500 employees.
We used our value-added tool SAP Accelerate Migration for a faster and more accurate result and to deliver the solution with much better performance.
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Office Branch


Official Partner


Years of experience

External Applications

In Customer, we interfaced with the following 12 external applications during the process:
1. Learning system
2. Data warehouse: SnowFlakes, MS Power BI
3. Call centre solutions
4. Contract Management
5. Finance: SAP
6. Expenses: Concur
7. Background Check
8. External Agencies
9. Pension Provider
10. Flexible Timing
11. HMRC – Payroll
12. Banks – Payments

Data Migration Approach

Payroll, the backbone of Human Capital Management, is one of the customer’s pillars. Therefore, the critical requirement was that it must be accurate and reliable. Perhaps no other process in customer carries this type of expectation because an error in Payroll directly impacts salary transactions. In addition, payment can be challenging to rectify or rescind once made.
Hence, while implementing Oracle Cloud HCM Payroll, we checked whether its output matches the legacy systems. This process of testing Payroll is called Payroll Parallel Reconciliation. The idea was to
1. Run both the processes – legacy and the new Payroll system, and then compare the outputs.
2. If there is any discrepancy, identify the problem and update the configuration of the Oracle Payroll system.
3. Repeat step 2 for every discrepancy.
Reduce 33% Data Migration Time using PCL-Accelerate-Migrate Tool

Date and duration from contract award to completion of migration

The customer had a time challenge with the project, which was supposed to be finished before the deadline. As per Payroll Implementation best practices, Payroll had to go live in 3 months. If this time limit were not met, the implementation resource requirement and cost would significantly increase.
We followed the following timeline to achieve the objective and meet the deadlines
1. Project Duration: 6 Months
2. Migration Period: 3 Months

Details of the approach, key milestones, and key deliverables

The Challenge
Moreover, the Payroll implementation best practices suggest that the payroll reconciliation process should be run for two consecutive months (two payroll parallel runs) for the customer.
Most Payroll implementations fail because the methods used during payroll parallel runs are inaccurate. The data from both the new Payroll and the Legacy systems are brought to excel sheets and then matched using several VLOOKUP. These methods are prone to error, and the limitations of Excel make the processing extremely slow. Also, comparing elements, balances and payments takes much attention and manual work.
As per Payroll Implementation best practices, Payroll had to go live in 3 months. If this time limit were not met, the implementation resource requirement and cost would significantly increase.

Solution and Approach

PCL deployed a proprietary and innovative solution – the PCL Payroll Parallel Reconciliation tool to eliminate such scenarios.
The automation tool manages to overcome all the difficulties faced in parallel runs regarding comparisons, tolerance and processing. Here are its main features.
1. Risk Mitigation by automating the process of identifying discrepancies
2. Extra Information for Earning/Deduction and Gross to Net Pay data from legacy can be secured in the HCM Cloud and can be purged on a need basis
PCL not only took accountability for Data migration but for Data Cleansing as well.


PCL Payroll Parallel Reconciliation Tool helped reduce the validation time by over 80%. It also improved the accuracy of the process, which means that every discrepancy was quickly identified and required rectification was subsequently performed.
Moreover, there was no additional license cost incurred by the client, as the entire comparison was made in SaaS only.
Time & Effort:
Hence, the Payroll Parallel Reconciliation process was executed at a low cost (low manpower and time requirement), much more efficiently, with low effort (high automation), in lesser time, and with better accuracy than the usual methods. It also ensured the payroll process’s error-free implementation and helped it go live in the target of 3 months.


Reduction in
Validation time


Reduction in
Manual effort


Reduction on
Annual SAP
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