SAP Analytics focuses on how organizations use enterprise data to generate insight, support better decisions, and automate parts of day-to-day decision-making across SAP environments. The topic spans business intelligence, machine learning, artificial intelligence, SAP HANA, the Predictive Analytics Library, SAP Data Intelligence, SAP Analytics Cloud, and SAP AI offerings embedded across business processes.
Analytics connects business users, data scientists, ML engineers, finance leaders, supply chain teams, and IT organizations around a shared goal: turning SAP data into operational insight, predictive capability, and business process intelligence.
SAP Analytics is the use of SAP data, analytics platforms, and embedded intelligence to understand business performance, identify patterns, predict outcomes, and guide decisions inside enterprise processes. It includes descriptive analytics through BI, advanced machine learning models that learn from changing data, and AI capabilities that support problem-solving and decision-making.
SAP Analytics focuses on how organizations use enterprise data to generate insight, support better decisions, and automate parts of day-to-day decision-making across SAP environments. The topic spans business intelligence, machine learning, artificial intelligence, SAP HANA, the Predictive Analytics Library, SAP Data Intelligence, SAP Analytics Cloud, and SAP AI offerings embedded across business processes.
Analytics connects business users, data scientists, ML engineers, finance leaders, supply chain teams, and IT organizations around a shared goal: turning SAP data into operational insight, predictive capability, and business process intelligence.
SAP Analytics is the use of SAP data, analytics platforms, and embedded intelligence to understand business performance, identify patterns, predict outcomes, and guide decisions inside enterprise processes. It includes descriptive analytics through BI, advanced machine learning models that learn from changing data, and AI capabilities that support problem-solving and decision-making.
The end-to-end process of BI involves analyzing the data generated by businesses, transforming the data into insights, and leveraging those insights to make optimal decisions. BI tools primarily leverage “descriptive analytics,” because these tools traditionally focus on analyzing current and historical performance based on data generated by the enterprise.
In practice, SAP Analytics helps organizations use tools such as SAP Analytics Cloud, SAP HANA, SAP Data Intelligence, and SAP AI capabilities to support reporting, planning, predictive analytics, automation, and business process improvement.
Teams use BI tools to analyze current and historical enterprise performance, transform business data into insights, and support decisions based on descriptive analytics.
Organizations use machine learning algorithms and SAP HANA’s Predictive Analytics Library to build models that learn from input data and support predictive use cases.
SAP Analytics Cloud supports business users with intuitive, AI-guided analytics capabilities, helping functional managers work with analytics without needing to be data scientists or technical managers.
SAP Analytics Cloud combines planning, predictive analytics, reporting, and BI, allowing organizations to use it as a collaborative enterprise planning tool.
SAP AI offerings are positioned to infuse intelligence into lead to cash, design to operate, source to pay, and recruit to retire processes.
SAP applications support data scientists and ML engineers building advanced ML models and solutions, while also helping end users perform advanced analytics with minimal technical proficiency.
SAPinsider research shows that analytics maturity increasingly depends on cloud-based platforms, self-service access, and cross-functional data models. SAP Analytics Cloud reflects this shift by combining planning, predictive analytics, reporting, BI, and AI-guided analytics for business users.
The SAP Business Data Cloud benchmark shows that data foundations remain a major constraint. Only 3% of organizations have a unified governed data layer, while 38% remain siloed, limiting progress toward real-time analytics and AI-driven decision-making. Still, investment momentum is building. SAPinsider found analytics modernization was a top SAP BDC driver at 28%, followed by AI and agent-based use cases at 26%.
SAPinsider’s AI maturity research reinforces the importance of trusted analytics foundations. While 91% of respondents report some AI use, 79% cite access to high-quality, trusted data as a requirement for successful AI strategies.
Some of the world's most troubling issues — climate change, the energy crisis, healthcare, and overall safety — are being addressed with emerging technology such as artificial intelligence and big data. Analysts are gleaning more and more insights everyday to help make the world a better and safer place.
New business intelligence (BI) technologies enable companies to harness and drive insights from vast amounts of customer data. But external data isn’t the only resource companies can draw on. Internal data, such as system performance data, is also a vital source of insights that companies can use to increase efficiency and agility. Learn how you can leverage analytics tools in SAP landscapes to benchmark your internal applications and processes and keep them running at peak performance.
The amount of structured and unstructured data flowing into today’s businesses is overwhelming — and can make or break an organization in the digital age. If it remains siloed and disorganized, it‘s difficult to generate the timely, enterprise-wide insights required to run a live business. Discover how SAP BusinessObjects provides customers with a modern, end-to-end analytics platform that helps everyone across the organization understand the business at granular level.
Farouk Systems, a global high-end hair care manufacturing company based in the United States, replaced its homegrown, legacy systems with a full SAP ERP environment and simultaneously capitalized on the opportunity to upgrade its financial and operational reporting processes. Learn how Global Software’s Spreadsheet Server tool was deployed and discover the many ways Farouk Systems has benefited from the ability to pull together and analyze reports quickly and effortlessly.
Transportation organizations face pressure to develop lean operations to stand out among a crowded field of competitors, and are continually looking at more efficient ways to keep up with evolving customer demands while providing clear insights into all transportation processes. Keep up with how many organizations are modernizing transportation processes, including leveraging analytics for significant process improvement.
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