Thursday, January 31, 2019

Word of the Day: SAP Analytics Cloud

Word of the Day WhatIs.com
Daily updates on the latest technology terms | January 31, 2019
SAP Analytics Cloud

SAP Analytics Cloud (or SAP Cloud for Analytics) is a software as a service (SaaS) business intelligence (BI) platform designed by SAP. Analytics Cloud is made specifically with the intent of providing all analytics capabilities to all users in one product.

SAP Analytics Cloud evolved out of the SAP Cloud for Planning product, which was released in February 2015. In addition to business planning, the other key components are BI (for reporting, dashboarding, data-discovery and visualization), predictive analytics and governance, risk, and compliance (GRC). The BI functions released in November 2015 and the predictive capabilities were added at a later date.

Built natively on SAP HANA Cloud Platform (HCP), SAP Analytics Cloud allows data analysts and business decision makers to visualize, plan and make predictions all from one secure, cloud-based environment. SAP claims this differs from other BI platforms, which often require data to be integrated from various sources and users to jump between different applications when performing tasks, such as creating reports. With all the data sources and analytics functions in one product, Analytics Cloud users can work more efficiently, according to SAP. The key functions are accessed from the same user interface that is designed for ease-of-use for business users.

Features and Benefits

Additional features include:

  • Integration with SAP Analysis for Microsoft Office: This includes read and write functions for users who want to import data and work in readily familiar environments.
  • Data locking and enhanced data access rights: Used for forecasting processes, where responsibilities held by planners are enforced by data locking and additional locked states (open, locked and restricted) are defined by enhanced data access rights.
  • Predictive analytics: Implements machine learning to perform guided analysis using Smart Discovery, transformations and insights.
  • Access to on-premise and cloud data: Provides real-time access to SAP applications such as HANA, as well as non-SAP applications for on-premise and cloud locations.
  • Embedded analytics: Allows for users to access analytic features such as what-if analysis and ad-hoc.
  • Access to SAP S/4HANA: This combines transactions, analytics, and planning in one application.
  • Creation and modification tools: For data-driven budgeting, analysis, and forecasting from one cloud interface.

 

Continue reading...

Quote of the Day

 
"The capabilities within SAP Analytics Cloud are best for dedicated analysts, planners and forecasters, since financial planning and budgeting are part of the SAP Analytics Cloud portfolio." - Christine Parizo

Learning Center

 

Experts laud SAP Analytics Cloud but question market position
Learn about the strengths and weaknesses of SAP Analytics Cloud and what experts say about its market positioning vs. SAP BusinessObjects and third-party BI tools.

SAP Analytics Cloud helps paper-maker tell a good business story
Paper manufacturer Pratt Industries implemented SAP Analytics Cloud and used its visualization and flexibility to build better financial forecasts.

To create a real-time data analytics system, 49ers huddle with SAP
Find out how the San Francisco 49ers are improving the fan experience at Levi's Stadium with a real-time data analytics platform based on the SAP HANA database and SAP Analytics Cloud.

SAP intelligent enterprise melds core apps with analytics engine
In this Q&A, SAP CTO Bjorn Goerke discusses the SAP intelligent enterprise and the three interconnected pillars that support it: intelligent suite of applications, intelligent technologies and a digital platform.

SAP S/4HANA real-time analytics best for tactical decisions
Learn what kind of real-time analytics capabilities are available inside SAP S/4HANA, and read why experts say you probably need a separate BI tool -- from SAP or another vendor -- for more sophisticated functions, like predictive analytics and strategic decision-making.

Quiz Yourself

 
To remain effective, analytical processes must ________ fine-tuned.
A. constantly stay
B. stay constantly

Answer

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