DVW KNIME Connector for SAP: Access Fiori Apps Data in Your Workflows

Discover how the KNIME connector for SAP from DVW Analytics seamlessly integrates data from thousands of SAP Fiori apps directly into your KNIME workflows.

In this quick tutorial, we demonstrate how anyone can easily access critical SAP data without specialized technical knowledge.

What You'll Learn:

• How to connect to various SAP objects (T-codes, OData reports, HANA views, BW reports)
• Selecting and configuring the right node for your data needs
• Choosing specific columns, texts, and master data for your output
• Setting and customizing dynamic filters based on workflow variables
• Previewing data before executing your workflow

The KNIME connector for SAP empowers all team members to leverage SAP's built-in business logic directly within their KNIME data processing workflows. See how these intuitive nodes can transform your data integration strategy and streamline business processes.

Accelerate & Automate SAP Processes with KNIME and DVW Analytics

In this short video, discover how to streamline and automate your SAP processes using KNIME and the DVW KNIME Connector for SAP from DVW Analytics.

Learn how to:

• Extract data from virtually any SAP system or object directly into KNIME
• Dynamically apply filters for enhanced flexibility and automation
• Combine and cleanse SAP and non-SAP data within KNIME’s intuitive interface
• Update or post data back to SAP using standard BAPI calls - no complex coding required Follow along as we demonstrate an end-to-end solution that leverages KNIME’s powerful workflow capabilities with DVW Analytics’ SAP integration.

You’ll see how to:

• Connect to SAP tables and retrieve only the data you need
• Transform and prepare the data using KNIME
• Update sales orders in SAP via BAPIs from DVW Analytics’ SAP Connectivity Nodes - Receive real-time feedback on successful postings and potential errors

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By integrating KNIME’s user-friendly workflows with standard SAP mechanisms, anyone in your organization can handle SAP business processes quickly and efficiently - without writing extensive code.

SAP T-Codes in KNIME: Seamless Integration from DVW Analytics

In this demo you will learn how to extract data from SAP Transactions (T-Codes) and ABAP Reports directly into KNIME with the DVW KNIME Connector for SAP.

Highlights

• Direct integration: Connect SAP T-Codes to KNIME workflows effortlessly.
• Easy configuration: Simplify connections to various SAP systems with an intuitive interface.
• Data transformation: Cleanse and enhance SAP outputs for better analytics usability.
• Variant selection: Utilize saved variants for consistent report parameters.
• Ignore unnecessary rows: Easily filter out irrelevant data for cleaner outputs.
• Quick visualization: Generate charts and reports rapidly from SAP data in KNIME.
• Seamless workflow building: Lay the foundation for comprehensive analytics solutions.

Key Insights

• Efficient Data Retrieval: The DVW KNIME Connector allows users to pull data from SAP T-Codes directly into KNIME, streamlining the data extraction process for analytics.
• User-Friendly Configuration: The configuration window supports various connection methods, making it accessible for users with different SAP setups.
• Enhanced Data Usability: By transforming and cleansing the data, users can make SAP outputs more analytical and actionable, which is crucial for data-driven decisions.
• Utilizing Variants: The ability to select pre-saved variants ensures consistency and accuracy in report generation, reducing manual input errors.
• Data Filtering Capabilities: Users can easily ignore irrelevant rows, like totals or extraneous data, ensuring that only meaningful insights are drawn from the dataset.
• Rapid Visualization: The integration enables quick charting and reporting, allowing for immediate visual analysis of SAP data, which enhances decision-making.
• Foundation for Advanced Analytics: The connector serves as a starting point for building complex workflows, empowering users to create comprehensive analytics solutions tailored to their needs.

DVW KNIME Connector for SAP - Automate SAP Exception Alerts with KNIME Server

Demo of how SAP processes can be automated with KNIME & DVW Analytics. The specific use case focuses on the triggering of an email alert from KNIME Server where the value of a PO exceeds a defined limit. Watch the video then register for a trial of the DVW KNIME Connector for SAP.

Highlights

• Connect to SAP: Configure connections using the KCS SAP Executor.
• Dynamic Filtering: Apply dynamic filters to extract relevant data.
• Date Range: Utilize KNIME tools to create a date range based on today’s date.
• Email Alerts: Automate the sending of email alerts with PDF attachments.
• Publish to Server: Deploy workflows to KNIME Server for automation.
• Scheduling Jobs: Schedule workflows to run at specified intervals.
• Successful Execution: Execute workflows directly from the server for immediate results.

Key Insights

• Streamlined SAP Integration: The KCS SAP Executor simplifies data extraction from SAP systems.
  
• Dynamic Data Management: Utilizing dynamic filters allows for data extraction based on current business needs, ensuring that only relevant information is processed.
  
• Automated Reporting: The integration of BIRT analytics enables automated reporting, transforming raw data into actionable insights without manual intervention.
• Seamless Email Notifications: Automated email alerts ensure that stakeholders are promptly informed of high-value transactions, improving response times and decision-making.
  
• Centralized Workflow Management: Publishing workflows to KNIME Server centralizes process management, allowing for easier access and control of automation tasks.
  
• Flexible Scheduling: The ability to schedule workflows enhances operational flexibility, making it possible to run processes during off-peak hours or at regular intervals.
  
• Quick Execution: The instant execution capability from the server demonstrates KNIME’s efficiency, allowing businesses to react swiftly to changes in data and operational needs.