{"id":24543,"date":"2021-05-20T08:06:25","date_gmt":"2021-05-20T06:06:25","guid":{"rendered":"http:\/\/54.194.80.134.nip.io\/?p=24543"},"modified":"2021-12-06T10:25:59","modified_gmt":"2021-12-06T09:25:59","slug":"advanced-analytics-with-r-and-sap-tools","status":"publish","type":"post","link":"https:\/\/www.cubeserv.com\/en\/advanced-analytics-with-r-and-sap-tools\/","title":{"rendered":"Advanced Analytics with R and SAP Tools"},"content":{"rendered":"\t\t
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Why bother with SAP R integration? The vast majority of organizations use advanced analytics with R and SAP tools to forecast future events and make data-driven, informed decisions. With this blog post, I highlight the benefits and essential connections.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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SAP’s R integration approach<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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SAP’s commitment to R was unique compared to that of other technology companies. The company has invested a lot of technical capital to make its products compatible and consistent with R without hyping it too much before the products were ready. SAP has a two-pronged strategy. The SAP Business Objects predictive analytics suite combines R’s strengths in statistics with a visual interface that makes it much easier to generate insights and analysis than standalone applications.<\/p>\n

When combined with the RHANA kit, the in-memory HANA appliance makes it easier to push data into HANA, summarize it, aggregate it, and process it analytically. Thus, the visual interface and in-memory processing for faster data operations on larger data sets combine R’s strengths without its conventional weaknesses (especially with larger data). SAP customers benefit from faster data access and simpler user interfaces thanks to this innovative combination of technologies.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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SAP and R create added value<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Predictive analytics capabilities for pattern recognition are supported by SAP Business Objects Predictive Analysis and allow users to build predictive models through a visual drag-and-drop interface, reducing model design time.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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One of the most fascinating aspects is that R is increasingly seen as the best tool for Big Data analytics through cloud computing, even though it was once considered unsuitable for big data on the desktop. The reason is simple: R stores data in memory, or RAM.<\/p>\n

The open-source nature of R means that any large technology company that wants to play in the lucrative business analytics market can easily adopt and adapt R for its use cases, especially as memory and RAM prices continue to fall. In addition, R is also compatible with the Hadoop ecosystem.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Methods and best practices for integrating SAP with other processes<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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SAP is a fantastic technology that can completely change the way a business operates. It is extremely configurable and can handle a wide range of processes and variations right out of the box. However, it also can’t do everything. It often requires SAP to integrate with other systems. This is because SAP is the heart of the business and contains data that other applications need to function.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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In addition to the company’s central master and transaction data, numerous checks and business rules are also defined. It makes no sense to recreate the same thing in another application.<\/p>\n

Instead, when integrating third-party software with SAP, all code remains in one place, ensuring that any changes to rules are reflected across the landscape. To ensure a balance between user autonomy and efficient processes and governance, strategy and data governance are where you should focus your attention. I have covered this in more depth in this blog.<\/a><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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SAP Analytics Cloud (SAC<\/a>)<\/h3>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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SAP Analytics Cloud, also known as SAC, is a cloud-based data visualization platform from SAP.
\nSAP Analytics Cloud is a single tool that includes the following functions:<\/p>\n