SAP Analytics


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.

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    This company implemented a comprehensive data management system to improve patient outcomes, maintain compliance and deliver better reporting.   Find other insightful content from Protiviti on their Vendor Showcase

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  3. SAP Expert Hari Sonnenahalli

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    Run Real-time Analysis with CCH Tagetik on SAP HANA

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  5. How to Simplify Access to Analytics for Everyone

    Published: 09/March/2020

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    Simply migrating to the cloud is no longer enough—companies must be familiar with cloud analytics in order to extract meaningful information from massive volumes of data. For companies beginning their cloud analytics journey with an existing SAP BusinessObjects BI deployment, the author of this article recommends taking a hybrid approach to integrate SAP Analytics Cloud…

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    Published: 05/November/2018

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    This fifth article in the Intelligent Enterprise series emphasizes the importance of the application of smart analytic technology to the vast amounts of data accumulated daily. Recognizing data as a key asset and deriving insights from it are the key to workplace transformation.

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    Deforestation is devastating to Earth’s rainforests, and to the planet as a whole — it creates more of an impact on climate change than the emissions of planes, trains, cars, trucks, and ships combined, according to a study. With 90% of rainforest logging being done illegally, a massive opportunity opened up for Rainforest Connection, a…

  10. Tap into the Rise of the Intelligent Enterprise with SAP Analytics for SAP S/4HANA

    Published: 07/August/2018

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    In today’s digital economy, an organization’s most valuable asset is data. As new technologies emerge — artificial intelligence, machine learning, the Internet of Things, advanced analytics, and blockchain — companies must also evolve their business to keep pace. Hear how SAP Analytics for SAP S/4HANA can help organizations transition to smarter processes and discover new innovations to truly become…