One Workflow, Five Destinations: How the DVW Flow Tool Replaces Multiple SAP Pipelines

Most SAP teams do not have one data pipeline. They have five, six, or more. Finance needs extracts in Excel. The BI team needs the same data in Power BI. The data engineering team loads it into Snowflake. Data science works in Databricks. And somewhere along the way, someone is manually archiving files to a data lake.

Each pipeline is built and maintained separately. Each one pulls from SAP independently. And each one introduces its own risk of inconsistency, delay, and manual error.

The DVW Flow Tool eliminates this problem. One visual workflow extracts data from SAP once, transforms it once, and delivers it to every destination in parallel. No duplication. No scripting. No middleware to manage.

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The Problem: One Source, Too Many Pipelines

Consider a scenario familiar to many SAP teams. A manufacturing company runs SAP as its core ERP system. Five different teams need data from it:

• Finance needs month end actuals delivered as formatted Excel reports.
• Business intelligence needs the same data pushed to Power BI datasets.
• Data engineering loads it into Snowflake for enterprise analytics.
• Data science works with it in Databricks for forecasting and modelling.
• IT/Compliance archives it to Azure Data Lake for long term storage and audit.

In most organisations, each of these requirements is handled by a separate extraction process. Some are manual exports from SAP GUI. Others rely on custom ABAP programs, third party connectors, or scripts maintained by individual teams.

The result is duplicated effort, inconsistent data, and fragile processes that break when someone changes a job or a system is upgraded.

The Solution: Extract Once, Deliver Everywhere

The DVW Flow Tool takes a fundamentally different approach. Rather than building separate pipelines for each consumer, you build one workflow that handles everything.

Here is how it works in practice.

Connect directly to SAP. The Flow Tool connects to SAP at the source. It reads from SAP tables, reports, transaction codes, and BW queries. There is no need for intermediate staging or pre-extraction. You point the workflow at the data you need, and it pulls it directly.

Transform the data once. Once extracted, the data passes through a single transformation layer. You apply filters, joins, lookups, calculations, and formatting in one place. Every downstream consumer receives data that has been prepared consistently, from the same logic and the same source extract.

Deliver to every destination in parallel. From that single transformed dataset, the Flow Tool distributes the output to each platform simultaneously:

• A formatted Excel workbook lands on a shared drive or is emailed to the finance team.
• A Power BI dataset is refreshed with the latest figures.
• Snowflake tables are updated for the data warehouse.
• Databricks receives a clean dataset for advanced analytics.
• Azure Data Lake gets an archived copy for compliance and audit.

All of this happens within one workflow execution. There is no need to schedule five separate jobs or maintain five separate connection configurations.

Automate notifications. When the workflow completes, the Flow Tool sends an email summary confirming what was delivered, where, and whether any issues were flagged. Stakeholders know their data is ready without having to check manually.

Closing the Loop: Writing Data Back to SAP

Extracting data from SAP is only half the picture. Many organisations also need to push data back into SAP, whether that is forecast figures, budget adjustments, or journal entries.

The DVW Flow Tool supports this through SAP BAPIs (Business Application Programming Interfaces). In the same workflow that extracts and distributes data, you can also write results back to SAP.

For example, once the finance team finalises their March forecast in Excel, the Flow Tool can pick up those figures and post them directly to SAP as journal entries, debiting cost of goods sold and crediting accrued liabilities. SAP becomes the system of record for both actuals and forecasts, and the entire cycle from extraction to posting is handled in one automated workflow.

This is what sets the DVW Flow Tool apart from extract only connectors. It does not just move data out of SAP. It closes the loop.

Key Benefits

Consistency. Every team works from the same source extract and the same transformation logic. There are no discrepancies between what finance sees in Excel and what the BI team sees in Power BI.

Efficiency. One workflow replaces multiple pipelines. Maintenance effort drops significantly because there is only one process to monitor, troubleshoot, and update.

Speed. Parallel delivery means all destinations are updated in the same run. There is no waiting for sequential jobs to complete before downstream teams can start their work.

Governance. A single controlled workflow is easier to audit and document than a patchwork of scripts, manual exports, and ad hoc processes.

No coding required. The Flow Tool uses a visual, drag and drop interface. Business analysts and data teams can build and modify workflows without writing ABAP, Python, or SQL.

Ready to Try It?

The video above walks through this workflow from start to finish using a realistic manufacturing scenario. If you would like to see how the DVW Flow Tool handles your specific SAP environment, we are happy to run a personalised demo.

The DVW Flow Tool is available as a 30 day free trial with full functionality and no commitment.

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