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
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.
80 results
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Financial Analytics as a Strategic Business Asset
Published: 30/July/2021
Reading time: 9 mins
A curiosity is driving finance leaders to learn how automation, artificial intelligence (AI), and machine learning can elevate the finance function and with it, the company’s entire analytics strategy. At the heart of this desire is data. This article explores how modernization and financial analytics can work together to help the finance department deliver value…
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Leveraging Data Connection Gateways to Harness Full Value from Analytics Investments
Published: 23/July/2021
Reading time: 7 mins
By Kumar Singh, Research Director, Automation & Analytics, SAPinsider The critical role of analytics in digital transformation Organizations today are rapidly evolving into mathematical corporations, driven by analytics and technology. Fueled by an explosion in data, they are making strategic as well as day-to-day decisions based on insights generated by this data. Hence, it…
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How SAP Analytics Cloud (SAC) aligns with evolving trends in data and analytics
Published: 23/July/2021
Reading time: 4 mins
by Kumar Singh, Research Director, Automation & Analytics, SAPinsider With data rapidly becoming the new currency, we have recently seen an explosion in the number of data and analytics tools in the marketplace. Advances in computing technology, availability of open source programming tools and the exponential increase in the data that organizations generate and...…
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- SAP Analytics
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Supply Chain Product Innovation With Data and Analytics
Published: 17/July/2021
Reading time: 4 mins
The pressure to innovate to launch new products and solutions emerged as a top business imperative in the response to the recent SAPinsider survey on the use of data, analytics and automation in supply chain. The survey results intend to help us formulate our storyline for upcoming February research report, Building Resilient and Agile Supply…
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Automating Monitoring and Control of Warehouse Time Standards
Published: 15/July/2021
Reading time: 2 mins
by Kumar Singh, Research Director, Automation & Analytics, Supply Chain Management, SAPinsider Critical role of time standards in Warehouse operations A warehouse manager can use time standards in a variety of applications and in virtually any type of working environment. Some of these applications are explained below: Estimating Labor requirements Scheduling jobs and workflows…
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- SAP Analytics
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Ask the Expert | SAP Solutions for Planning & Analysis
This interactive session will help you navigate the various Planning & Analysis scenarios supported by different SAP planning solutions. Attend this session to ask the experts about the latest in features, functions, strategy, guidance, and future direction to gain the latest understanding and update on where you are and where you can be in your…
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- SAP Analytics
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How analytics changes with SAP S/4HANA and impact to modern data platform
As you transform your business with SAP S/4HANA, the way analytics are handled is going to change. SAP S/4HANA opens insights like never before. A new approach to a modern data platform adds significant value and provides the opportunity to unlock the potential of a SAP S/4HANA transformation. Attend this comprehensive session to: -Learn how…
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- SAP Analytics
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Leveraging Machine Learning for Demand Forecasting
Published: 23/May/2021
Reading time: 4 mins
Until 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…
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- SAP Analytics
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A quick comparison of SAP S/4HANA Cloud, SAP Analytics Cloud, and SAP Data Intelligence
The goal of the presentation is to explore the latest updates related to SAP cloud technologies (SAP Analytics Cloud, SAP Data Intelligence, and SAP S/4HANA Cloud), and as a useful guide to companies to choose when each of these technologies is applicable to them depending on their key processes they want to involve in the…
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The Role of Analytics in Business Process Intelligence: A RISE with SAP Perspective
Published: 10/May/2021
Reading time: 6 mins
Increasingly, businesses are shifting their focus to accommodate the new digital reality. Technology is a key enabler in this aim, but businesses also need to consider what needs to change within their enterprises, including their processes and organizational design. Business transformation has become the front-and-center strategic priority that helps organizations adapt to the digital world…
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Cloud, ERP, Business Intelligence, Analytics and Travel & Expense Management solutions
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