How This Workflow Works
This workflow analyzes numeric fields from SAP tables accessed through the DVW Analytics SAP extension for KNIME, calculates standard deviation, and flags records with unusually high or low values compared to the rest of the data. It can be applied to any numeric data and produces both an interactive dashboard and downloadable reports for further review.
Key Features:
- Automatically validate and check the quality of numeric, string, date, and missing value fields in SAP data
- Identify outliers and anomalies in numeric data using standard deviation tolerance thresholds
- Customize thresholds and field selections to fit different datasets and business needs
- Generates visual reports and dashboards for sharing findings derived from SAP data
Step-by-step:
1. Analyze Numeric Field Distribution from SAP Tables:
The workflow calculates summary statistics, including standard deviation, for selected numeric fields retrieved from SAP tables using the DVW Analytics SAP extension. This step provides a clear picture of how values are distributed and identifies the overall variability within the dataset.
2. Identify Outliers Using Statistical Thresholds:
By applying user-defined or dynamic thresholds, the workflow flags records that fall outside expected value ranges. This highlights transactions or entries that are unusually high or low compared to the majority, supporting targeted review.
3. Generate and Share Reports:
The workflow compiles the analysis results into dashboards and reports. Users can select report types and export findings, making it easier to communicate insights from SAP data and support decision-making.