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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- SAP Analytics
Premium
Enterprise Artificial Intelligence – Embedded AI
Published: 04/May/2021
Reading time: 9 mins
If your company has not begun building an artificial intelligence (AI) strategy, it may risk falling behind competitors. That could mean lagging in areas of innovation that AI can enable, including improved or new products, reduced risks, and a better bottom line. There is good news for SAP customers: SAP has already begun embedding AI…
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The journey from Strategy to an Analytics Algorithm : A Marketing Analytics example
Published: 06/February/2021
Reading time: 1 mins
Every Analytics algorithm that you use in your teams should tie to your Corporate strategy goals. However, very few resources currently clearly highlight how. Closing this link, in my mind, is one of the ingredients to the secret sauce to developing analytical products that will work, in a sustainable way (not a blip that goes…
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Impact on Analytics and Visibility
Published: 15/January/2021
Reading time: 3 mins
SAP S/4HANA, for many organizations, is the single sources of truth for finance and business functions. As organizations conduct their SAP S/4HANA transition projects, they are consolidating data from multiple systems across the enterprise. This has an impact on the business capabilities of making critical decisions, conducting analysis, and understanding the direction of the business…
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Advanced Analytics in SAP and Hybrid Environments
Published: 15/January/2021
Reading time: 2 mins
As Business Intelligence and reporting capabilities mature and get commoditized, organizations are increasingly looking to leverage more advanced analytics approaches. Both SAP as well as third party vendors offer a plethora of advanced analytics capabilities that leverage AI and Machine Learning algorithms. These sessions will help you understand how to leverage advanced analytics tools and…
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SAP S/4HANA and Embedded Analytics
Published: 15/January/2021
Reading time: 3 mins
Embedded Analytics is increasingly becoming a significant feature in applications and is a core value proposition in SAP HANA offering. Available offerings in this space extend beyond the SAP ecosystem into third party vendors as well. As users start interfacing more and more with applications with embedded analytics capabilities, they need to have a good…
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Pairing Analytics and Automation
Published: 11/November/2020
Reading time: 3 mins
By Pierce Owen, VP of Research, SAPinsider Translating Data into Insights As part of their “digital transformation,” 75% of respondents in a recent SAPinsider survey say their organizations use or plan to use self-service analytics for operational performance. Self-service analytics help democratize analytics, allowing the average business user to visualize raw data, identify outliers or…
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Breakthru Beverage Group Reaches New Horizon on Journey to Become a Fully Integrated, Data-Driven Business
Published: 03/November/2020
Reading time: 15 mins
Modern consumers expect their unique needs to be met at the push of a button, and this expectation includes the food and beverage industry, as evidenced by the rapid increase in grocery pickup and delivery services, for example. Breakthru Beverage Group — which offers restaurants and retailers a portfolio of established and emerging beer, wine,…
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- SAP Analytics
Premium
Climbing the FP&A maturity curve
With the advanced of analytics, automation, and intelligent technologies, businesses more than ever have a significant opportunity to significantly improve financial planning and analysis. But with all the choices and opportunities, the first steps and decisions often seem daunting. This session will help you: •Understand what technologies and solutions stand to have the greatest impact…
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Creating Customized Menus and Tiles with SAP S/4HANA Embedded Analytics
Published: 28/July/2020
Reading time: 7 mins
Most businesses have more data available than they have time to make sense of. With the ability to improve data visualization, analytics, dashboarding, and integration, SAP S/4HANA Embedded Analytics helps businesses extract the information they need. By using capabilities within SAP S/4HANA Embedded Analytics, companies can simplify their environments and provide targeted information to a…
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Evonik Lowers TCO for In-Memory Analytics
Published: 24/July/2020
Reading time: 1 min
Evonik partnered with Intel, SAP, and Accenture to demonstrate the value of Intel® Optane™ DC persistent memory for SAP HANA*. Evonik is a world-wide leading specialties chemicals company that produces sophisticated chemicals for 3D printing and more. In a proof of concept in Accenture’s Global SAP HANA* Center of Excellence, using Intel® Optane™ DC persistent…
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