Abstract

Operational data marts that basically constitute slices of thematic narrowly-focused information are designed to provide operational access to big data sources due to consolidation and ranking of information resources based on their relevance. Unlike operational data marts dependent on the sources, analytical data marts are considered as independent data sources created by users to provide structuring of data for the tasks being solved. Therefore, the conceptual model of operational-analytical data marts allows combining the concepts of operational and analytical data marts to generate an analytical cluster that shall act as the basis for quick designing, development and implementation of data models.

Highlights

  • IntroductionIn modern and dynamically changing world, information, data and knowledge constitute the indisputable value and critical development factor both for a small enterprise and for a whole country

  • In modern and dynamically changing world, information, data and knowledge constitute the indisputable value and critical development factor both for a small enterprise and for a whole country.Business analysis systems as a class of systems that implement the principles of decision support systems (DSS) focus on intelligent control of data and imply the use of a complex of technologies, software and practices aimed at achievement of the business objectives.It should be noted that detailed and quick analysis of input data for retrieval of tacit knowledge is possible only provided proper “understanding” of the data context [1]

  • Comparison of various data models demonstrates that specific units of information can be of small value as perceived by the end user

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Summary

Introduction

In modern and dynamically changing world, information, data and knowledge constitute the indisputable value and critical development factor both for a small enterprise and for a whole country. Information can be collected in an infinite number of sets and information elements that can co-exist in any number of various information kits. Such information should be contextualized in order to be brought to the level of the intellectual knowledge. The process of designing information structures to represent the data in order to fulfill certain tasks for business analysis systems shall consider the amount of data being processed, as well as the time required for a change of analytical model in case of business tasks being changed, including the changes caused by alteration of data structure in the source [2]. The suggested approach to generation of operational and analytical data marts shall provide availability of sources, promptness and structuring of data for tasks being solved

Concept of operational data marts
Concept of analytical data marts
Research findings
Conclusion
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