# Data Flow Automating Performance Management outcomes requires data from multiple data sources. In addition to data sources from various systems, fragmented data that resides with users typically in spreadsheets or data files plays an essential role in completing the data requirements. JustPerform Data flow allows users to maintain these varied data sources and provides with broad range of additional data wrangling functionalities like data transformation, cleaning, and aggregating in one visual data flow. ***Capabilities*** * Data Flow Designer : Maintain visual data flow starting from creating data sources to maintaining staging layers, data enrichment rules to prepare data to support business outcomes. * Data Wrangling : Raw data comes in many different shapes and sizes. A single column may turn into several rows for easier analysis. One column may become two. Data wrangling requires organizing the data, so that it is easier computation and analysis. Data Wrangling involves structuring, cleaning , filtering, enriching data. * Machine Learning : Create AI and machine learning models with Python library integration. * Publishing : Output of data wrangling is published to models in JustPerform Canvas for business users to consume or published to another downstream system like Datawarehouse , Visual BI tools , Planning / Consolidation tools or files. --- # 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://help.justperform.com/process-definition/data-flow.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.