Data Intelligence and Artificial Intelligence (AI) in SAP Ecosystem- SAP Datasphere |
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| © 2023 by IJCTT Journal | ||
| Volume-71 Issue-12 |
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| Year of Publication : 2023 | ||
| Authors : Sandeep Kumar | ||
| DOI : 10.14445/22312803/IJCTT-V71I12P108 | ||
How to Cite?
Sandeep Kumar, "Data Intelligence and Artificial Intelligence (AI) in SAP Ecosystem- SAP Datasphere," International Journal of Computer Trends and Technology, vol. 71, no. 12, pp. 30-34, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I12P108
Abstract
Data is the concentrated muscle of an organization. It takes years to build the data muscle with a continuous churning process to make it accurate, integral and reliable. It takes a village to bring the data to a level that is unquestionable and fully trusted by the organization and the users to consume. To evolve the intelligence out of this data, its accuracy, integrity, and reliability need to be proven.
Data accuracy is the correctness of data that is assumed at the highest level of the pyramid in the organization. Due to the correctness at this level, it is easier for an organization to confidently use it for their research, analysis, statistics, and reporting at various levels of the organization hierarchy.
The integrity of data is the completeness and consistency of data that has evolved over time by making sure that the input source of this data and the processes around this data submission are curated to their optimum level. It takes time to get this to a level where the integrity of data is not compromised and readily available for consumption. Data reliability, as the name suggests, is the truth your data possesses based on the data accuracy and integrity.
This paper aims to assist organizations in making intelligent and mature decisions when choosing a data intelligence and artificial intelligence solution by SAP called SAP datasphere. This is a Software-as-as-Service (SAAS) cloud offering that helps manage big data and provides enhanced analytical capabilities, top-of-the-line security, and HANA-driven performance by using state-of-the-art and out-of-the-box Artificial Intelligence capabilities.
Keywords
Business Intelligence (BI), Data Intelligence, SAP Cloud, SAP HANA, Data mining, Artificial intelligence, SAP BW4HANA, SAP BTP, SAP Cloud, SAP Analytics Cloud (SAC).
Reference
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