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Artificial Intelligence (AI) and analytics play a key role in digital transformation initiatives. As advances in technology and computing power accelerate the digitalization journey, companies across industries are generating gigantic volumes of data daily. The value of this data lies in leveraging it to draw actionable insights, planning and innovation. This is where AI and analytics come into picture, acting as key tools to harness the value from data being generated and collected across the enterprise. Analytics is generally classified into categories like descriptive, prescriptive, diagnostic, and predictive. AI algorithms help in predictive and prescriptive analytics, but they also enable companies to build innovative capabilities like Industry 4.0.
SAP and Partner Technologies in Analytics and AI
Artificial Intelligence (AI) and analytics play a key role in digital transformation initiatives. As advances in technology and computing power accelerate the digitalization journey, companies across industries are generating gigantic volumes of data daily. The value of this data lies in leveraging it to draw actionable insights, planning and innovation. This is where AI and analytics come into picture, acting as key tools to harness the value from data being generated and collected across the enterprise. Analytics is generally classified into categories like descriptive, prescriptive, diagnostic, and predictive. AI algorithms help in predictive and prescriptive analytics, but they also enable companies to build innovative capabilities like Industry 4.0.
SAP and Partner Technologies in Analytics and AI
SAP and their partner ecosystem have rich portfolio of tools and technologies in AI and analytics domain. SAP BTP platform has AI and analytics capabilities embedded to help organizations build intelligent enterprise capabilities. SAP S/4HANA puts AI in the ERP, whereas SAP Intelligent Automation uses AI to help organizations build smart automation capabilities. Digital supply chain tools from SAP leverage AI and analytics with emerging technologies to help organizations build smart supply chains. AP Analytics Cloud is the leading enterprise analytics tool in the market and is seen as the future of SAP Business Objects. The partner technology ecosystem is not behind. In every function, SAP partners offer AI-enabled tools like Phenom AI for HR processes, iCertis for contract lifecycle management, Prospecta for intelligent data management. Then there are overarching analytics solutions from partners like Pyramid Analytics that help build enterprise-wide decision intelligence capabilities.
Resources for SAPinsiders
Key Insights Using SAP Analytics Cloud: In today’s world, data is becoming more valuable every. For any organization, it is necessary to analyze their data before making any critical decisions regarding business operations such as finance, sales, supply chain operations and more. For enterprises with large amounts of critical,, but under-analyzed, data, SAP Analytics Cloud has simplified and expedited data analysis. This article discusses how organizations can draw critical insights using SAP Analytics Cloud.
Three-Step Gameplan to Deploy AI in the Office of CFO: While the world witnessed the emergence of self-driving cars with advanced technologies, such as artificial intelligence (AI) and machine learning (ML), the world of finance has also done everything to keep up. A/R operations are now getting more autonomous and intelligent while the workforce is focusing more on ‘strategic’ business decision making. 65% of finance executives reported that they increased their technology investments and are now focusing on growing their digital business in 2021. This webinar shares a roadmap to leverage AI in finance executive planning.
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SAPinsider Research Webinar: Enterprise Data and Analytics in the Era of AIFeb 11 — Digital business generates more data than traditional business, and that information is foundational to supporting innovation and realizing desired business outcomes such as improved forecasting accuracy, faster and better decision-making, enhanced customer and user experiences, and setting up the ground work for AI adoption and innovation. Companies that have invested in modernizing their data and analytics strategies and technologies are seeing results, both in the outcomes mentioned as well as many Key Performance Indicators (KPIs).
To identify the key factors, strategies, expectations, challenges, and technologies driving enterprise data and analytics strategies, SAPinsider surveyed community members across multiple industries, locations, and roles. This research explored the data and analytics maturity of respondents’ organizations and identified key traits across maturity segments as they journey towards becoming data-driven and AI-enabled.
Download the benchmark report to read the full data analysis and receive recommendations for your own plans. Understand the factors impacting SAPiniders’ data and analytics strategies.
- Explore the impact that data and analytics maturity has on desired business outcomes and KPIs.
- Learn about the technologies that are in use to build data and analytics foundations.
- Discover how Data Leaders are succeeding with their data and analytics strategies.
1 minute read
Rumble in the Jungle Round 3: Using Anthropic Claude to Automate SAP SAC Script codeMay 20, 2025 — In a comparison of AI chatbots for SAP coding, Anthropic Claude outperformed OpenAI's ChatGPT and Google's Gemini by resolving challenges quickly with simpler code and fewer iterations, demonstrating its efficiency and user-friendliness in enhancing SAP SAC applications.
9 minute read
SAP Advances Enterprise AI with Table-Native Models and Expanded Business AIJan 16 — SAP is enhancing AI adoption in enterprise systems with the introduction of the SAP-RPT-1 model for structured data and a suite of AI enhancements aimed at automating processes and generating insights, marking a strategic shift towards a data-first AI approach.
2 minute read
From Data Bottleneck to Self-Service: How AI Transforms SAP Analytics AccessSep 29, 2025 — PlatinumDB transformed SAP data analytics for a client by implementing a modern data stack with conversational AI integrated into Microsoft Teams, enabling real-time, self-service access to insights that reduced reporting cycles from weeks to minutes while maintaining governance and security.
3 minute read
Anomaly Detection Algorithms in Supply Chain AnalyticsJul 26, 2021 — Anomaly detection algorithms do exactly what the name suggests – detect anomalies in the data. The simplest example is your body temperature. If you had a sensor measuring your body temperature, and the date is being fed to an anomaly detector in the form of time series data (like every one hour), if the temperature value exceeds 99 degrees Fahrenheit, the anamoly detector will flag the temperature as mild fever. Obviously, this example is very simple but the gist of these algorithms is the same. These algorithms look at data to identify the data points that are inconsistent with the rest of the data and are an outlier or anomaly. In this article, we discuss how this algorithm can be leveraged for supply chain analytics in SAP technology ecosystem.
2 minute read
Neptune Software Introduces Naia Build to Accelerate SAP App Development with AIOct 22, 2025 — Neptune Software's new Naia Build platform overcomes challenges in AI-powered code generation for SAP landscapes by providing a governed, production-ready environment that enables enterprise users to generate, customize, and deploy SAP UI5/Fiori applications efficiently from simple AI prompts.
3 minute read
The Loss-Leader Illusion: What SAP Data Reveals About Pricing MythsDec 8, 2025 — SAP customers are increasingly challenged by unverified pricing assumptions that lead to profit leaks; as AI-driven pricing tools gain traction, organizations must prioritize data validation over tradition to enhance financial outcomes and adapt to market shifts.
3 minute read
SAP & OpenAI Form Sovereign AI Partnership for Germany’s Public SectorSep 24, 2025 — SAP and OpenAI have partnered to introduce OpenAI in Germany, focusing on generative AI for the public sector while ensuring compliance with strict data sovereignty regulations through SAP's Sovereign Cloud, set to launch in 2026 and enhance public workflows.
3 minute read