The Road To A Successful PIM Implementation
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The successful implementation of PIM software requires a thorough approach. From more than 20,000 hours of consultancy in PIM experience, we know what a good implementation should look like. Over time, we have therefore standardized our approach.
After identifying the need for a PIM in your organization, getting your PIM team together, and choosing the right PIM tool for you, you are now ready for implementation.
Without a proper plan in place, your PIM implementation runs the risk of becoming ineffective and all the legwork goes in vain. But it doesn’t have to. To help you build a clear and actionable implementation plan,?we present the 4-phase PIM implementation guide.
Phase 1: Analysis Phase – Set Up The Navigation
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Information is collected from each workshop that ultimately leads to a Solution Design Document. This document is used as a guideline for the implementation and, in addition to a description of the implementation, also contains global planning; The navigation is set.
Phase 2: Implementation Phase – On The Way To The PIM Solution
Now that the navigation is set up, the tank is full and the tire pressure is in order, the journey can begin.
Data Model
The implementation starts with the basics:?the data model. ?This model is crucial for a successful PIM implementation. It gives the user an idea of the term PIM by clarifying what an article looks like in the software, what possibilities the software offers to make the process run as efficiently and effectively as possible, what data is available, and at what level it is data is located.
Incoming Data Flows
When the data model has been finalized, the processing of incoming data flows is started. Often an article is created in the ERP system, with a minimal set of characteristics. It is important that this article ends up in the PIM software so that it can be further enriched. But also the supply of data by suppliers is an incoming data stream that must be processed. At the same time, it is a second (or third) validation of the data model.
Data Migration
Data migration is strongly related to incoming data flows. In the initial situation, article data is often spread over several systems. It is important to preserve that data and improve data quality where possible.
For example: in the source system, an attribute is stored as text, in the data model that attribute is defined as a list box. Because there was complete freedom in the data entry of this attribute in the source system, many options have arisen that ultimately imply the same. By addressing this in the data migration, the data for this characteristic becomes more uniform.
Outgoing Data Flows
As soon as the data migration is completed, the export of data is started. An article and thus article data must be available on many platforms (omnichannel). Because PIM becomes a “single source of truth”, it is important that the data from PIM is offered to those different platforms.
Processes
It is important that the PIM process is carefully examined. The PIM software must be supportive of that process and must therefore be set up on the basis thereof. In a workflow, it is determined who is responsible at what time to enrich or validate certain data and when a product can be considered ‘complete’. This is the focus of attention in the final phases of the implementation.
Phase 3: Project Management – Support On The Go
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