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The Backbone of Intelligent Material Management
In the highly integrated and broad world of SAP ERP, or SAP Material Management (SAP MM), material types are one of the most misunderstood, yet foundational concepts. Although they may…
Goutam Jha
AI Excellence Starts with Data Excellence
The value of AI in the SAP ecosystem is fundamentally dependent on having a clear data strategy in place. In this context, quality data - defined as accurate, consistent, and reliable data - is the building block of any high-quality AI experience, aligned with the well-known 'Garbage In, Garbage Out' methodology. With the current AI development and accelerated adoption of AI in the enterprise, organizations are expected to mobilize an AI view as part of an ERP function (e.g. SAP) for the purposes of efficiency, resiliency, and innovation. Data Governance can better support quality data which in turn facilitates better decision-making and predictive insights and across a variety of industries.
The Significance of an Exceptional Software Quality Assurance Team
In my career, I have learned that building an excellent QA team is an art form as well as a science. Quality Assurance doesn’t just represent finding defects, it’s the…
Unpacking the Real Business Value of Test Automation: Moving Past the Hype
Almost all businesses are experimenting with or expanding test automation across teams in today’s digital-first economy. However, a startling number still find it difficult to articulate in quantifiable, understandable terms…
Understanding Obsolete Transactions in SAP S/4HANA
Since the move from SAP ERP 6.0 (ECC) to S/4HANA, many classic transactions have been deprecated or replaced. In fact, S/4HANA contains a significant number of obsolete transaction codes—yet SAP…
Overwhelmed by SAP T-Codes? Here’s a Smarter Search Tool You Need to Know
With over 100,000 transaction codes (T-Codes) spanning its extensive suite of modules, SAP presents users with a powerful – but often overwhelming – range of functionality. Expecting users to memorize…