Optimizing Inter-company Discrepancy Record Management Process with Effective BPC Implementation

Optimizing Inter-company Discrepancy Record Management Process with Effective BPC Implementation

About the Client


Our client is a Fortune 500 company that designs, develops, engineers, manufactures, markets, and sells heavy machinery, engines, financial products, and insurance to customers via a worldwide dealer network.


Business Challenges


The client was using a manual process to collect, identify, and document inter-company discrepancies:

  • Due to the manual nature of the process, it was cumbersome, time-consuming and prone to human error
  • There were multiple data sources and the data consolidation and data preparation for reporting was managed by a single resource


The Solution


The solution involved the following phases:


Advisory Phase: After reviewing the existing process and analyzing stakeholder requirements, TekLink SMEs recommended the implementation of SAP BPC to automate the process. ASAP methodology was used with the defined phases of Blueprint, Design, Development, Testing, and Go live.


Technical Phase: A BPC model was created to store the required information. A loading process was developed to load and validate the source data. A security process was configured to allow access to the authorized data. A process was implemented to ensure proper distribution of activities among the data owners, reports and dashboards were created to support reporting and analysis activities.

Maintenance Phase: In this phase, the focus was to ensure steady-state maintenance of the solution. Documentation was created and training was provided to the support team.


Outcome and Benefits


TekLink’s BPC implementation saves a significant amount of time and effort for the client. Also, they can now leverage their resources into core tasks as the data consolidation and preparation processes are automated.


The other benefits include:

  • Considerable decrease in the time gap between data collection and consolidation, leading to a faster reporting process
  • Automation eliminates any chance of manual error, ensuring the reports are more accurate
  • The project enabled the data, including the historical information, to be stored in a central repository, thus providing secure and quick access to users when required

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