# Sample use cases Data lineage and impact analysis can be applicable in several ways. * **As an ETL Developer:** * There are changes in my source system, such as fields which are added, deleted and renamed. What parts of my ETL processes need to adapt? (Impact Analysis) * I need additional information in my target system, such as for reports. What sources are can provide this additional information? (Data Lineage) * **As a Data Steward:** * There is a need for auditability and transparency to determine where data is coming from. A global, company-wide, metadata repository needs data lineage information from different systems and applications, i.e. very fine-grained metadata. * What elements (fields, tables, etc.) in my ETL processes are never used? How many times is a specific element used in some or all of my ETL processes? * **As a Report/Business User:** * Is my data accurate? * I want to find reports which include specific information from a source, such as a field. This process is "data discovery." For example, are there any data sources which include sales and gender? Are there any reports which include sales and zip codes? * **As a Troubleshooting Operator:** * The numbers in the report are wrong (or supposed to be wrong). What processes (transformations, jobs) are involved to help me determine where these numbers are coming from? * A job or transformation did not finish successfully. What target tables and fields are affected which are used in the reports? * **As an Administrator:** * For documentation and auditing purposes, I want to have a report on external sources and target fields, tables, and databases of my ETL processes. I need the data for a specific date and version. * To ensure compliance, I want to validate naming conventions of artifacts (fields, tables, etc.) * For integration into third-party data lineage tools, I want a flexible way of exporting the collected data lineage information. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.pentaho.com/pdia-data-integration/9.3-data-integration/advanced-topics-pentaho-data-integration-overview/data-lineage/sample-use-cases.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.