 Every AI model depends on the data it is built on. For enterprise AI projects, that data almost always includes data from SAP. And getting SAP data into a state that an AI workflow can use is rarely straightforward.
This post covers the data preparation problem specifically: what it involves, why SAP makes it harder than most other data sources, and how DVW Analytics products address it as part of a broader AI architecture. SAP Data Made Easy for AI-Driven Insights: Unlock the Power with Alteryx AI Data Clearinghouse26/2/2026
 Are you ready to turn your SAP data into actionable AI insights without the complexity?
Join us on Wednesday, 22 April 2026 at 3:00PM AEST / 6:00AM BST for this exclusive DVW Analytics webinar, in collaboration with Alteryx, and discover how to effortlessly integrate SAP data into your AI ecosystem — enabling smarter, faster decision-making.  If you're spending hours each week extracting SAP data into spreadsheets just to get it into Power BI, you're not alone. Most organisations rely on IT to build custom reports or pull data on request, which means long backlogs and slow turnaround. In the meantime, teams fall back on manual exports and Excel workarounds to keep things moving.
 Professionals in SAP Finance and Audit functions often find themselves diving into large “haystacks” of data to uncover very small “needles.” With each passing year, those haystacks grow larger and the needles harder to find. At the same time, month-end reporting is facing increasing regulatory pressure, higher audit expectations, and growing complexity in SAP-based finance environments. Yet many legacy processes still rely on manual, time-consuming, and inconsistent validation procedures.
Moving to SAP SuccessFactors is a major step for any organisation. One of the earliest and most important challenges is preparing employee data so it can move cleanly from SAP S/4HANA into the new environment. Employee master data is connected to payroll, benefits, talent processes, and organisational reporting. Any issues in the data can create delays or trigger costly rework during a SuccessFactors implementation.
Transforming SAP Migrations with Alteryx and DVW Analytics: Fast, Accurate, Repeatable Workflows20/11/2025
SAP data migrations are some of the most complex activities an organisation can undertake. From multiple mock migrations to understanding every transformation applied to the data, teams need tools that deliver accuracy, transparency, and repeatability at scale. When SAP landscapes change, whether through upgrades, moves to SAP S/4HANA, or restructuring, migration teams require a solution that integrates seamlessly, supports automation, and lets both IT and business users collaborate through clear, visual workflows.
 In this blog we identify the most important SAP Inventory Management tables for users of:
 In this blog we identify the most important SAP Finance and Controlling (FI/CO) tables for users of:
 In this blog we identify the most important SAP Purchasing (MM-PUR) tables for users of:
Many organisations rely on SAP for financial reporting, operational processes, and transaction management. Although SAP is a powerful system, exporting data for everyday analysis in Excel is not always simple. Reports may require additional formatting, transaction codes can be difficult for new users, and manual exports often lead to inconsistency and delay.
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