SAP Analytics
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Analytics pertains to leveraging data generated and captured across the organization to generate insights that can help transform the way organizations run. Analytics can also help build capabilities that can automate many aspects of day-to-day decision making that is currently performed manually. There are three main categories of analytics leveraged in organizations today:
Business Intelligence (BI)
Analytics pertains to leveraging data generated and captured across the organization to generate insights that can help transform the way organizations run. Analytics can also help build capabilities that can automate many aspects of day-to-day decision making that is currently performed manually. There are three main categories of analytics leveraged in organizations today:
Business Intelligence (BI)
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.
Machine Learning
Machine learning (ML) is a subset of artificial intelligence (AI) algorithms. The differentiating aspect of these algorithms is that they can learn from the input data and modify the model based on changes in that data. It is this “learning” aspect that makes these algorithms powerful.
Artificial Intelligence
In simple terms, Artificial Intelligence (AI) refers to systems or solutions that can replicate human decision-making capabilities. These solutions often leverage a combination of software and hardware to mimic human capabilities like problem -solving and decision making
Key Considerations for SAPinsiders
SAP applications leverage AI and ML algorithms extensively to either embed innovative capabilities within their solutions, help end-users perform advanced analytics with minimal technical proficiency, or allow data scientists and ML engineers to build advanced ML models and solutions. SAP HANA has been designed to be easily leveraged as a scalable ML platform. A powerful tool built into SAP HANA is the Predictive Analytics Library (PAL).
SAP Data Intelligence has a rich ML content library. Like most best-of-breed analytics tools, SAP Analytics Cloud provides users the ability to leverage advanced Machine Learning (ML) algorithms. While ML algorithms have many applications, predictive analytics remains a key one.
On the business processes side, SAP AI offerings promise to infuse transformative intelligence to all key business processes areas like lead to cash, design to operate, source to pay and recruit to retire. AI algorithms help include innovative features across all these processes.
97 results
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SAP’s Strategic Direction for Analytics (BusinessObjects BI 2025)
Reading time: 2 mins
SAP continues to develop BusinessObjects and will continue to invest in the interactivity between Analytical Cloud and BusinessObjects. SAP BusinessObjects BI 2025 will be enhanced to improve core workflows, i.e., report creation, access to information, and integration with ever more complex landscapes.
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Google Cloud Partners with SAP to Help Joint Customers Achieve their Sustainability Ambitions
By partnering with SAP, Google Cloud has committed to helping joint customers optimize their processes to achieve their sustainability ambitions. Google Cloud and SAP have combined the strengths of both companies to create an analytics platform that will accelerate customers’ sustainability journeys with deeper, actionable insights. Watch the video now.
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Keurig Dr Pepper: An SAP Cloud Migration and Modernization Journey
Reading time: 1 mins
Keurig Dr Pepper (KDP) stands as a premier beverage enterprise in North America, providing a plethora of renowned hot and cold beverage labels to consumers throughout the continent. Established in 2018 through the amalgamation of Keurig Green Mountain and Dr Pepper Snapple Group, KDP holds the distinction of being the pioneer in integrating both hot…
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Turbocharge SAP Analytics Through No-Code Data Integration
Reading time: 4 mins
SAP’s enterprise software is used by 80% of the world’s Fortune 500 companies and 98% of the world’s most valuable brands. Whether a company is using SAP’s ERP, supply chain, spend management or human resource solutions, your data is useless if you can’t analyze it.
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How A Luxury Gelato Chain Uses Precog to Actually Get Realtime, Multi-Source Analytics
Reading time: 3 mins
This case study explores how Ibrahim Khan and Zahra Masood, Snowflake Gelato’s Business Analyst team, leveraged Precog to radically simplify loading data into Snowflake from Cin7 Core (inventory management), MarketMan (restaurant management), Xero (accounting), and Workforce (workforce management). Once effective and dependable ELT was in place, Ibrahim turned to the key area of focus: analysis…
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5 Mistakes Auditors Make When Getting Involved in Data Analytics
Looking to introduce data analytics to your audit plan? Before you do, make sure to watch RSM’s Steve Biskie’s top 5 mistakes people make when they first get involved in data analysis.
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Infographic: How SAP + Decision Intelligence Can Prepare Your Organization for What Is Next
Reading time: 1 mins
Running comprehensive analytics directly on SAP BW and SAP HANA—across all your environments—is challenging. According to SAPinsider, 68 percent of legacy BI tools don’t support all types of analytics. Another 73 percent state that seamless connectivity between business applications is a top requirement.
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SAP & Self-Service Analytics: Five Benefits That Drive Company-Wide Success
Reading time: 1 mins
Year after year, analysts praise SAP as a leader in the data management space with its two premier tools: SAP Business Warehouse (SAP BW) and SAP HANA. Organizations can significantly enhance their investments in SAP by providing users with comprehensive self-service analytics capabilities on SAP BW and HANA.
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The Best Performing Analytics on SAP
Learn why Pyramid Analytics is the best performing analytics for SAP.
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The Future of Analytics on SAP: A Guide to Decision Intelligence for SAP Data
Reading time: 1 mins
Many BI and analytics tools simply can’t handle the volumes and complexities inherent in today’s data-rich and diverse business landscape. Learn what to look for in a platform.
Featured Insiders
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David Maloney
N. American VP, SAP BTP Everywhere - SAP
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Hari Sonnenahalli
NTT DATA, Enterprise Architecture
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Diego Lombardini
Cloud, ERP, Business Intelligence, Analytics and Travel & Expense Management solutions
Partner Solutions Architect at AWS
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