Relevance Assessment

Define Business Requirements: Clearly articulate the specific business requirements and objectives that drive the need for data. Identify the key metrics, insights, and outcomes the organization aims to achieve through data-driven initiatives.

Identify Use Cases: Based on the defined business requirements, identify the specific use cases or applications for which the data will be used. Determine the types of data needed to support these use cases and the specific insights or actions that will be derived from the data.

Identify Data Needs: Identify the specific data elements, attributes, and variables required for each use case. Understand the data granularity, timeframes, and levels of detail needed to fulfill the use case requirements effectively.

Evaluate Data Source Content: Assess the content of each potential data source. Determine if the source provides the required data elements and attributes. Consider if the source includes the necessary data granularity, historical data, and any additional contextual information that enhances the relevance of the data.

Assess Data Source Coverage: Evaluate the coverage of each data source in relation to the organization's data needs. Consider factors such as geographic coverage, customer segments, product categories, or any other relevant dimensions based on the business requirements. Ensure that the data source provides comprehensive coverage of the required data scope.

Consider Data Source Timeliness: Evaluate the timeliness of data in each potential source. Assess if the source provides real-time, near-real-time, or periodic data updates based on the organization's operational needs and use case requirements. Consider the data freshness and frequency to determine if it aligns with the desired insights and decision-making timelines.

Evaluate Data Source Relevance: Based on the assessment of content, coverage, and timeliness, evaluate the overall relevance of each potential data source. Consider if the source sufficiently meets the data needs for the identified use cases and if it aligns with the organization's business requirements and goals.

Prioritize Relevant Sources: Prioritize the data sources that are most relevant to the organization's business requirements and use cases. Focus on sources that provide the highest level of relevance and align closely with the desired insights and outcomes. Consider the relative importance of each source in relation to the overall data strategy.