Topics

Explore critical topics shaping today’s SAP landscape—from digital transformation and cloud migration to cybersecurity and business intelligence. Each topic is curated to provide in-depth insights, best practices, and the latest trends that help SAP professionals lead with confidence.

Regions

Discover how SAP strategies and implementations vary across global markets. Our regional content brings localized insights, regulations, and case studies to help you navigate the unique demands of your geography.

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Get industry-specific insights into how SAP is transforming sectors like manufacturing, retail, energy, and healthcare. From supply chain optimization to real-time analytics, discover what’s working in your vertical.

Hot Topics

Dive into the most talked-about themes shaping the SAP ecosystem right now. From cross-industry innovations to region-spanning initiatives, explore curated collections that spotlight what’s trending and driving transformation across the SAP community.

Topics

Explore critical topics shaping today’s SAP landscape—from digital transformation and cloud migration to cybersecurity and business intelligence. Each topic is curated to provide in-depth insights, best practices, and the latest trends that help SAP professionals lead with confidence.

Regions

Discover how SAP strategies and implementations vary across global markets. Our regional content brings localized insights, regulations, and case studies to help you navigate the unique demands of your geography.

Hot Topics

Dive into the most talked-about themes shaping the SAP ecosystem right now. From cross-industry innovations to region-spanning initiatives, explore curated collections that spotlight what’s trending and driving transformation across the SAP community.

analytics

SAP Analytics Cloud
Data Connections For SAP Analytics CloudAnalytics is driven by data and hence even best-of-breed tools like SAP Analytics Cloud need robust data integration to harness their capabilities fully. Data connection and seamless integration to data sources are critical to building robust data and analytics capabilities. SAP Analytics Cloud supports a plethora of data sources and data connections. It offers a variety of connectivity options and can be integrated into an enterprise's existing data and analytics landscape or can be used as a stand-alone enterprise analytics platform. This article will provide readers answers to questions like: • What are the types of data connections available in SAP Analytics Cloud ? • What are examples of those data sources? • What are the characteristics of these data connections?
Predictive Planning in SAP Analytics CloudSAP Analytics Cloud (SAC) has advanced Machine Learning (ML) functionalities built-in that can allow non-data science users to perform advanced modeling as well. Predictive analytics remains a key advanced analytics approach among various analytical approaches. In this blog, we will explore the smart predict functionality of SAC and understand how expert, non-data scientist users can leverage them to build predictive analytics models. Readers will get answers to questions like: • What is predictive analytics? • What is smart predict and how it can help create more “citizen data scientists”? • What is augmented analytics and how does smart predict uses it to aid business users in predictive planning?
Analytics in the Cloud
Analytics in the Cloud Benchmark ReportIn This Report: Business complexity has increased exponentially in the last decade and so have the associated risks of disruption. SAPinsiders have consistently indicated in multiple research reports that evolving their data and analytics portfolio can help them address and manage these complexities and resulting disruptions in a much better way while also helping them […]
business intelligence
The Future of Business Intelligence Benchmark WebinarIn This Webinar: We have entered the age of Artificial Intelligence (AI) and Machine Learning (ML). Technology has taken a massive leap in the last decade and is expected to take another exponential leap in this coming decade, leading to rapid advances in the discipline of data science. Data science practices introduced the world of […]
Evolution of ERP Systems in the Digital EraBy Kumar Singh, Research Director, SAPinsider   Changing the Paradigms of Enterprise Resource Planning Business environments, in most industries, have always been dynamic and susceptible to changes. These changes may be gradual or sudden, but the fact is, the world of business has continuously evolved through these changes. However, what we are increasingly experiencing now […]
cloud computing
The Imperative of Analytics in the CloudBy Kumar Singh, Research Director, SAPinsider Accelerating Digital Transformation Initiatives Every technology leader knows that the cloud will be a business imperative in the future.  The explosion in digitalization, data, and analytics methodologies means that organizations realize that their current on-premises environments are not sustainable from a long-term perspective. And while this contemplation comes from […]
Inventory Planning and Advanced AnalyticsInventory planning- The constant balancing act Inventory planning is one of the most critical and most challenging aspects in supply chain planning. This means that implementing an effective inventory planning and management strategy is crucial for an organization to stay competitive in today’s dynamic global supply chain landscape. There is always room to bring more […]
ChatGPT SAP
Leveraging ChatGPT in The SAP WorldIn this article, we will cover how the underlying algorithm behind ChatGPT can be leveraged in SAP ecosystem in this article. ChatGPT, as you may know, is an AI model developed by Open AI, which leverages a specific type of algorithm, reinforcement learning, to engage and interact in the form of a conversational dialogue. The underlying algorithm behind ChatGPT, in combination with other algorithms, can be leveraged to significantly reduce the complexity of SAP technology portfolio for the end users.
SAP S/4HANA image
Leveraging Machine Learning for Demand ForecastingUntil recently, conventional time series forecasting methods have been predominantly used for forecasting in demand planning. A majority of demand forecasting tools in the market leverage these methods in their solutions. With advances in technology and computing power, the sophistication of these time series algorithms has increased thereby increasing forecast accuracy. However, with the advent of machine learning (ML) tools and increased interest in exploring them to improve forecasting approaches and methods, many vendors are increasingly incorporating ML-based forecasting methods in their tools. A key aspect to remember is that most of the frequently used ML algorithms have been around for decades now. Technology and computing power today allow us to leverage them easily in a variety of ways and applications. This article shares some Machine Learning approches that are being used by SAPinsiders.
SAP Cloud
Build an Agile Data Platform with SAP Data Warehouse CloudData is the foundation for the reporting and analytics that are required to support decisions throughout an organization, and businesses need a way to enable access to this data from a variety of heterogeneous locations across their landscapes. This is where data warehouses come in, by serving as a central location of consolidated data. To help support its customers in this area, SAP provides a portfolio of data warehousing solutions that includes SAP BW/4HANA, SAP HANA for SQL data warehousing, and the latest addition, SAP Data Warehouse Cloud. In this article, you will learn about. • The role of SAP Data Warehouse Cloud in SAP's data warehouse portfolio • How it works with other solutions in the portfolio • The most common usage scenarios for SAP Data Warehouse Cloud and the benefits it can provide

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