Data Transformation and Mapping Assessment (Data Scoping)

Performing a Data Transformation and Mapping Assessment in the data scoping phase of Pricefx data readiness involves evaluating the structure, format, and attributes of the data sources and mapping them to the data model and requirements of Pricefx. Here's a step-by-step guide on how to perform this assessment:

1. Understand Pricefx Data Model: Gain a comprehensive understanding of the data model and structure of Pricefx. Familiarize yourself with the specific data elements, attributes, and relationships within Pricefx that are relevant to pricing analysis.

2. Identify Data Sources: Identify the data sources that will be integrated into Pricefx. This may include internal systems, databases, or external data providers. Understand the structure, format, and attributes of the data in each source.

3. Determine Mapping Requirements: Determine the mapping requirements between the data elements and attributes in the data sources and Pricefx's data model. Identify how the data from the sources should be transformed and mapped to align with the expected format and structure in Pricefx.

4. Evaluate Data Structure and Format: Assess the structure and format of the data in the identified sources. Determine if the structure and format of the data match or can be transformed to match the structure and format required by Pricefx.

5. Analyze Data Attributes: Analyze the attributes of the data elements in the data sources and compare them to the attributes required by Pricefx. Identify any attribute mismatches, missing attributes, or additional attributes that need to be considered during the transformation and mapping process.

6. Define Transformation Rules: Define the necessary transformation rules and logic to convert the data from the source format to the format required by Pricefx. Consider data cleansing, data enrichment, data aggregation, or any other transformation requirements based on the specific needs of Pricefx.

7. Map Data Elements: Create a mapping document that defines the mapping between the data elements and attributes in the source systems and the corresponding data elements in Pricefx. Document the specific transformations, conversions, or calculations required for each mapping.

8. Address Complex Mapping Scenarios: Identify any complex mapping scenarios that may require special attention. These scenarios may involve multiple data sources, data dependencies, or intricate transformations. Develop strategies to address these scenarios effectively.

9. Validate Mapping Requirements: Validate the mapping requirements with the relevant stakeholders, including business users, data owners, and IT teams. Seek their feedback and ensure alignment on the defined transformation and mapping rules.

10. Document Transformation and Mapping Specifications: Document the findings of the Data Transformation and Mapping Assessment in a structured format. Include details such as the identified data sources, their structure, format, and attributes. Document the mapping rules, transformations, and any complex scenarios. This documentation serves as a reference for the subsequent data preparation and integration activities.

By following these steps, you can perform a Data Transformation and Mapping Assessment in the data scoping phase of Pricefx data readiness. This assessment ensures that the data from different sources is transformed and mapped accurately to align with the data model and requirements of Pricefx, facilitating successful integration and accurate pricing analysis.