{"id":4212,"date":"2025-01-20T10:48:07","date_gmt":"2025-01-20T08:48:07","guid":{"rendered":"https:\/\/etlia.fi\/?p=4212"},"modified":"2025-10-22T12:19:32","modified_gmt":"2025-10-22T10:19:32","slug":"1x2-betting-on-sap-s-4hana-analytics-scenarios-how-to-make-the-right-choice","status":"publish","type":"post","link":"https:\/\/etlia.fi\/en\/1x2-betting-on-sap-s-4hana-analytics-scenarios-how-to-make-the-right-choice\/","title":{"rendered":"1X2 betting on SAP S\/4HANA analytics scenarios: How to make the right choice?"},"content":{"rendered":"\n

With the ongoing wave of SAP S\/4HANA implementations, many organizations are rethinking their data and analytics portfolios. At Etlia Data Engineering, we frequently help businesses navigate these decisions. When it comes to analytics with SAP S\/4HANA, the choices often resemble a 1X2 football bet. Here’s a short practical breakdown of the choices:<\/strong><\/p>\n\n\n\n

1: All-in on SAP (Pure SAP)<\/strong><\/h5>\n\n\n\n

Choosing “1” means relying entirely on SAP\u2019s built-in tools like Datasphere<\/a><\/strong> and SAP Analytics Cloud <\/a>(SAC)<\/strong>.<\/p>\n\n\n\n

Pros:<\/strong> <\/p>\n\n\n\n

– Seamless integration across SAP systems with optimized performance 
– Real-time insights and SAP\u2019s own functionalities (e.g. AI applications and planning) tied to business processes 
– Simplified vendor management with a single tech stack <\/p>\n\n\n\n

Cons:<\/strong> <\/p>\n\n\n\n

– Limited flexibility 
– Dependence on SAP\u2019s offering and innovation timeline 
– Scarcity of SAP analytics experts <\/p>\n\n\n\n

This option is ideal for businesses prioritizing simplicity and full integration with SAP ERP.<\/strong><\/p>\n\n\n\n

X: The hybrid play<\/strong> <\/h5>\n\n\n\n

The “X” approach combines SAP tools with external platforms like Azure<\/a><\/strong> and Databricks<\/a><\/strong>, blending the best of both worlds.\u00a0<\/p>\n\n\n\n

Pros:<\/strong> <\/p>\n\n\n\n

– Flexibility and scalability 
– Access to advanced AI and machine learning capabilities 
– Retains some SAP-native advantages <\/p>\n\n\n\n

Cons:<\/strong> <\/p>\n\n\n\n

– Risk of data silos and duplication 
– Complex governance and skill requirements 
– Higher operational complexity and TCO <\/p>\n\n\n\n

This hybrid model works best for organizations seeking flexibility while maintaining ties to SAP ERP. This is the most complex scenario with the highest total cost of ownership (TCO), so it\u2019s essential to carefully assess the business case to justify the additional investment. Be sure to identify the specific reasons and value drivers that make this approach the right choice for your organization. <\/p>\n\n\n\n

 2: External Data Tools and Platforms (Non-SAP)<\/strong> <\/h5>\n\n\n\n

Selecting “2” involves moving all analytics to external platforms such as Azure<\/strong>, AWS<\/a><\/strong>, Snowflake<\/a><\/strong>, or Databricks<\/strong>.\u00a0<\/p>\n\n\n\n

Pros:<\/strong> <\/p>\n\n\n\n

– Unmatched scalability, flexibility, and customization 
– Wide support for cutting-edge tools 
– Independence from SAP\u2019s constraints <\/p>\n\n\n\n

Cons:<\/strong> <\/p>\n\n\n\n

– Greater difficulty integrating with SAP ERP 
– Higher management overhead for cross-platform data 
– Dependence on non-SAP experts <\/p>\n\n\n\n

This option suits organizations focused on top-tier analytics and innovation, even if it means operating outside the SAP ecosystem.<\/strong><\/p>\n\n\n\n

Key considerations for your analytics strategy on top of S\/4 HANA<\/strong> <\/h5>\n\n\n\n

1. Align analytics to business needs<\/strong> <\/p>\n\n\n\n

– If seamless process integration and simplicity are priorities, SAP-native solutions are a strong starting point. 
– For advanced analytics or scalability, consider hybrid or external approaches. <\/p>\n\n\n\n

2. Evaluate SAP\u2019s analytics offering <\/strong> <\/p>\n\n\n\n

For organizations already committed to SAP S\/4HANA, it\u2019s logical to start with SAP\u2019s integrated tools like Datasphere and SAC. SAP is also investing heavily in developing advanced business AI capabilities that integrate seamlessly with SAP\u2019s own tech stack. SAP data solutions are designed to function together with S\/4HANA simplifying deployment and accelerating ROI.  <\/p>\n\n\n\n

3. Don\u2019t overlook Best-of-Breed solutions<\/strong> 
While SAP\u2019s analytics tools are rapidly maturing, platforms like Microsoft (Azure, Fabric), AWS, Databricks, and Snowflake may provide more advanced AI and ML capabilities. Ensure you have a robust approach for any SAP data extraction e.g. by using SAP Datasphere and be aware of potential challenges and limitations when integrating non-SAP solutions with S\/4HANA such as restricted external data extraction (e.g. SAP Note 3255746).  <\/p>\n\n\n\n

The winning strategy for SAP S\/4HANA analytics<\/strong> <\/h5>\n\n\n\n

The choice between SAP-native, hybrid, and external solutions depends on your organization\u2019s infrastructure, data strategy, and goals. Start by evaluating SAP\u2019s analytics tools, as they\u2019re optimized for S\/4HANA. For advanced functionality or flexibility, explore hybrid or non-SAP options. <\/p>\n\n\n\n

Stay tuned for upcoming blogs, where we\u2019ll dive deeper into each scenario to help you make informed decisions.<\/p>\n\n\n\n

 Interested in learning more or discussing your specific needs? Book a meeting<\/a> with us today! <\/strong><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

With the ongoing wave of SAP S\/4HANA implementations, many organizations are rethinking their data and analytics portfolios. At Etlia Data Engineering, we frequently help businesses navigate these decisions. When it comes to analytics with SAP S\/4HANA, the choices often resemble a 1X2 football bet. Here’s a short practical breakdown of the choices: 1: All-in on […]<\/p>\n","protected":false},"author":21,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[58],"tags":[],"class_list":["post-4212","post","type-post","status-publish","format-standard","hentry","category-blog-posts-en"],"acf":[],"yoast_head":"\nSAP S\/4HANA Analytics \u2013 How to Make the Right Choice<\/title>\n<meta name=\"description\" content=\"Explore SAP S\/4HANA analytics options \u2014 SAP-native, hybrid, or external platforms. 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