18078566. LOW-CODE PROGRAMMING FOR ANALYTICS COMPUTING SYSTEM simplified abstract (SAP SE)

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LOW-CODE PROGRAMMING FOR ANALYTICS COMPUTING SYSTEM

Organization Name

SAP SE

Inventor(s)

Giancarlo Frison of Mammendorf (DE)

LOW-CODE PROGRAMMING FOR ANALYTICS COMPUTING SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18078566 titled 'LOW-CODE PROGRAMMING FOR ANALYTICS COMPUTING SYSTEM

The abstract describes a system and method in an analytics computing system that processes query data and determines the subset of data that meets certain conditions based on propositions.

  • The analytics computing system receives query data and a subject tuple.
  • It accesses analytics code containing proposition data related to the subject tuple.
  • The proposition data includes proposition head data describing the subject tuple and proposition body data with proposition conditions.
  • The system then accesses query processing data and identifies a subset where the proposition conditions are true.

Potential Applications: - Data analysis and processing in various industries such as finance, healthcare, and marketing. - Business intelligence and decision-making processes. - Predictive analytics for forecasting trends and patterns in data.

Problems Solved: - Efficient data processing and analysis. - Automating the identification of relevant data subsets. - Improving decision-making based on data-driven insights.

Benefits: - Enhanced data accuracy and relevance. - Time-saving in data analysis tasks. - Improved decision-making based on precise data subsets.

Commercial Applications: Title: "Advanced Data Analytics System for Enhanced Decision-Making" This technology can be used in industries such as finance for risk assessment, healthcare for patient data analysis, and marketing for targeted advertising strategies.

Prior Art: Readers can explore prior research on analytics computing systems, query processing, and data subset identification in the field of data science and artificial intelligence.

Frequently Updated Research: Stay updated on the latest advancements in analytics computing systems, data processing algorithms, and machine learning techniques for improved data analysis.

Questions about Analytics Computing Systems: 1. How does the system determine the subset of data that meets the proposition conditions? 2. What are the key components of the analytics code used in this system?


Original Abstract Submitted

Various examples are directed to systems and methods in an analytics computing system. The analytics computing system may receive query data and an indication of a subject tuple. The analytics computing system may access analytics code comprising first proposition data corresponding to the subject tuple. The first proposition data may comprise proposition head data describing the subject tuple and proposition body data describing at least one proposition condition, the at least one proposition condition comprising a relationship between a first proposition body tuple and a second proposition body tuple. The analytics computing system may access query processing data and determine a subset of the query processing data for which the at least one proposition condition is true.

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