Data Flow
Automating performance management outcomes requires data from multiple sources. In addition to data 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 a 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 and 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 to compute and analyze. Data wrangling involves structuring, cleaning, filtering, and enriching data.
Machine Learning: Create AI and machine learning models with Python library integration.
Publishing: The output of data wrangling is published to models in JustPerform Canvas for business users to consume or published to another downstream system.