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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Revolutionizing Cancer Treatment with Healthy Data Solutions
Published: 14/July/2020
Reading time: 1 min
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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Protiviti InsightViews: An Analytics Quick Start for the Intelligent Enterprise
Published: 14/July/2020
Reading time: 1 min
Modular in design, InsightViews can be configured as a comprehensive Modern Data Layer across all SAP domains such as FI/CO or SD. Find other insightful content from Protiviti on their Vendor Showcase
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Top Strategies for Organizations to Become Intelligent Data-Driven Enterprises
What are the most important strategies to help organizations become intelligent data-driven enterprises? Join us as SAP Expert Hari Sonnenahalli answers your questions and provides an overview of the top considerations and your steps for success.
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Run Real-time Analysis with CCH Tagetik on SAP HANA
Published: 01/July/2020
Reading time: 1 min
Speed up your consolidation process and gain deeper insights by accessing the full potential of your data with CCH Tagetik on SAP Hana. Find other insightful content from Wolters Kluwer | CCH Tagetik on their Vendor Showcase
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How to Simplify Access to Analytics for Everyone
Published: 09/March/2020
Reading time: 6 mins
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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The Many Faces of the Future of SAP Analytics – Part 1 (Is Embedded Analytics the Death of SAP BW?)
Published: 11/April/2019
Reading time: 6 mins
Audio pioneer Dolby Laboratories, which has been delivering audiophiles a superior sound and sight experience since the 1970s, decided in 2016 that it wanted an equally stringent level of quality assurance for its business process testing. The business sought a risk-based automated testing solution to reduce or eliminate regression test coverage gaps and lengthy testing…
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SAPinsider Kicks Off 2019 Event: Day 1 Wrap-Up
Published: 20/March/2019
Reading time: 4 mins
Welcome to my first blog as a new member of the SAPinsider team! After spending more than 20 years as an author, presenter, consultant, and overall advocate for the SAP reporting and analytics toolset — always with the goal of helping to make the implementation of these tools something done FOR the business rather than…
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Data Is the Key to the Intelligent Enterprise
Published: 05/November/2018
Reading time: 3 mins
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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Rainforest Connection to Use Predictive Analysis to Fight Deforestation and Protect the Global Environment
Published: 10/September/2018
Reading time: 8 mins
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…
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Tap into the Rise of the Intelligent Enterprise with SAP Analytics for SAP S/4HANA
Published: 07/August/2018
Reading time: 5 mins
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…
Featured Experts
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Ingo Hilgefort
VP Business Analytics at Rizing
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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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