Journal of Science and Sustainable Development

Solid State Technology 
Volume: 63 Issue: 6 
Publication Year: 2020
19671
Archives Available @ www.solidstatetechnology.us 
User
Application
Analyzer
Retriever
Exhibitor
run
retrive information
ask for business details
request information
information object
insert details
construct case
weighted case
suitable represen tation for the case
suitable output
choose exhibitor
Figure 6 UABI time sequence 
IV.
C
ONCLUSION
We have seen throughout this paper how BIapplications raise the efficiency and proficiency of the running 
business. Some of its main goals are decision support and feasibility estimation. BI software is effective in 
enabling cooperating between the parties with rights granted. In this paper, we have constructed a BI model 
that represents the base of limitless uncountable agile business intelligence implementations. As a unified 
model, it grants the ultimate cooperation and sufficient knowledge sharing with rights reserved.UABI 
provides a sufficient cooperative decision support interface for business. Theoretically, it can efficiently 
satisfy the requirements and fulfill the standards we investigated. What distinguishes the UABI model is its 
universality usage among all the business fields without specialty's limitations. UABI uses five main elements 
to be implemented as agents or objects according to the development methodology. These elements are 
Information, Storage, Retriever, Analyzer, and Exhibitor.Using UABI API at a wider geographical extent 
opens the road to more secular cooperation and unified business analysis. This will reduce business conflicts 
in the future and suggest better investment opportunities. 
The model proposed by this paper helps researchers as it provides many unified terms and clarifies the 
contravention concepts. In addition, it proposes mathematical solutions for the main problems countered in 
the model. The future steps for this model involve providing full mathematical and pseudocode details for all 
involved methods in the model and to implement some solutions to assess the efficiency. Moreover, future 
papers may propose manyAI techniques to solve the calculations required through the model and evaluate the 
performance and efficiency. 

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