ANALYSIS ON THE PLANNING FEATURE OF SAP ANALYTICS CLOUD WITH ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ALGORITHMS

Vedaprada Raghunath

Authors

Vedaprada Raghunath IT Director, IMR Soft LLC, USA. Author

Keywords:

Business Intelligence, SAP Cloud, Financial Planning, SAP HANA, Predictive Analytics

Abstract

"Data is the new oil," and large and medium-sized businesses all over the world have come to realise and embrace this fact. Companies are investing millions of dollars in cutting-edge technology that can manage terabytes of data at the touch of a button as part of their digital transformation programmes, but data remains the top focus. Data is being produced at a rate of gigabytes per minute due to the revolutionary innovations in the realms of mobile devices, social media, wearable technology, embedded sensors, and linked gadgets. In addition, you may instantly broadcast your ideas over the web using any number of social media sites that are at your fingertips. A growing number of businesses are considering how they may construct an emotional intelligence framework using the vast amounts of unstructured data available online. Then, they can use that framework to give back to the community by offering products and services. Not only did this assist the general public in meeting their requirements, but it also increased profits for the firms involved. Businesses need to pick a reliable technology or tool to build a data intelligence solution. This solution should use AI and trained ML data models to transform big data into useful information that business analytics teams can use. For both day-to-day decision-making and, more crucially, future prediction, it is essential to analyse business data, which includes social media data as well as data from products sold or services offered by any company. For this, you need a data analytics solution that is both strong and intelligent. This paper's goal is to provide statistics that companies may use to choose SAP Analytics Cloud, one of SAP's data analytics solutions. Fixing data challenges relating to big data, analytics, security, and performance is made easy with this cloud-based SAAS solution, which leverages state-of-the-art AI and ML features built into the platform straight out of the bo

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