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From Thought Leadership to Tutorials, This is Where Clarity Begins.

Welcome to your hub for all things data analytics. Whether you’re looking to deepen your understanding of SAP systems, stay ahead of emerging trends, or get hands-on with step-by-step guides, this space is built to support data-driven professionals at every level. From thought leadership articles to practical how-to videos, we’re here to help you turn data into action—and complexity into clarity.

SAP Datasphere Architecture (Spaces) & Lessons Learned

The open nature of SAP Datasphere’s architecture is very much like Sergio Leone’s epic spaghetti Western film, “The Good, the Bad, and the Ugly” for no reason other than how some designs can be described as such. One of Datasphere’s biggest strengths is the flexibility and speed with which a new solution can be built. From the initial replication of SAP tables to an Analytical Model ready for consumption, the development time is a fraction of prior efforts. Unfortunately, these same strengths when unharnessed can lead to an excessive number of objects that will clutter and ironically slow down development. If you’re considering SAP Datasphere as a BW replacement or if you’re already…

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A Hidden Failure Point on SAP Projects (and Where to Look)

Imagine pouring two years of your career into a transformational SAP project, hitting every milestone, only to see your business users return to spreadsheets for their reporting needs. You captured requirements.You built robust data models.You delivered easy-to-use reports.You met every project milestone. So what went wrong? I’ve seen this scenario repeat on enough large-scale projects to recognize a clear pattern. Even the most well-intentioned efforts fail when one critical element is neglected: training and user adoption. Why Training Gets Left Behind Executive leadership often focuses on the most visible, high-risk parts of a transformation—system design, integrations, reporting, and infrastructure. Training, on the other hand, is usually treated as an afterthought. It’s considered low-risk,…

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The Trouble with SAP Data Warehouse & Analytics Cloud

The integration between SAP Data Warehouse Cloud and Analytics Cloud is a funny thing (tl;dr: it’s a feature) Having been an early adopter of SAP Analytics Cloud (SAC) in 2017 and having guided many clients through their initial dashboard projects, I thought I knew the ins and outs of the various integration issues. For example, a customer can expect certain functionalities of SAC to be available when paired with a HANA data warehouse live-data connection but a subset of features are available when paired with a Business Warehouse (BW) or S4HANA (S4) source system. Regardless of the source system, the process is the same for a Live Data Connection. That’s not the case with Data Warehouse…

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Custom Date Offsets in SAP Analytics Cloud

Imagine getting a curveball from a client in your standard SAP Analytics Cloud (SAC) dashboard routine. Picture this: I’m helping a client with her quarterly report calculations. Normal stuff, right? Like YTD, QTD, QOQ, YOY. Using an import model in SAC, the built-in date functions make this a breeze (usually). Here’s where things take a twist. After the first draft, my client chimes in: “I need to exclude the current month/quarter”. Sounds simple on the surface, right? Wrong! It’s a bit more complex than it initially seems. The client is looking for Q1 and Q2 numbers, but we’re in August. So, she wants July and August values out of the equation. Here’s how…

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