ELTA: New Approach in Designing Business Intelligence Solutions in Era of Big Data

By Pablo Michel Marín-Ortega, V. Dmitriyev, M. Abilov, J. Gómez. 2014

41 citations recorded by the source corpus.

Abstract Current work presents new approach for designing business intelligence solutions. In the era of big data, former and robust analytical concepts and utilities needs to adopt themselves to changed market circumstances. Main focus of the work is to address acceleration of building process of a “data-centric” business intelligence solution on one side, and also prepare business intelligence solutions for big data utilization. Research is addressing following goals: (a) reduce time spent during business intelligence solution designing phase; (b) achieve flexibility of business intelligence solution by removing problems with adding new data sources; (c) prepare business intelligence solution for utilization of big data concepts. Research proposes extension of existing Extract, Load and Transform (ELT) approach to the new one Extract, Load, Transform and Analyse (ELTA).

Subfields: Computer Networks and Communications, Information Systems, Management Information Systems

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Citations in the corpus

A Survey on Cleaning Dirty Data Using Machine Learning Paradigm for Big Data Analytics (2018, methodology): “Another well-known tool is ETL tools, which provides complex data conversion techniques by merging and repairing data [23].”