Estimativa da arrecadação própria municipal: um estudo da previsão dos impostos de municípios paraibano e potiguar através das séries temporais

Pereira, Alan Frank Rodrigues; Sampaio, Francisco Jean Carlos de Souza; Guilherme, Hipónio Fortes

doi:10.34117/bjdv5n6-093

Cited by 1 publication

(2 citation statements)

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“…BI is a term that combines architectures, tools, databases, analytical tools, applications and methodologies applied to analyze and cross a huge amount of information from various data sources, which support decision making (De Castro & Da Silva , 2018;Richards et al, 2019). Time Series, on the other hand, are a set of observations obtained over time, in a given period (Pereira et al, 2019). Chatfield and Xing (2019), stated that the classification of processes as to stationarity is the basis in the analysis of time series, such that a stationary series can be fully described by its mean, variance and correlation.…”

Section: Concepts Evaluationmentioning

confidence: 99%

“…With BI as an available resource, in addition to an efficient data management, analyzes with a focus on time series can be made feasible. Pereira et al (2019) infers that "time series can be conceptualized as a set of sequential observations of a given variable, expressed in numbers and obtained in a regular period of time". Through them, it is possible to trace behavioral trends, resulted from the analysis of current values in a given period.…”

Section: Introductionmentioning

confidence: 99%

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Power BI and Time Series in Budget Management of Business Support Services for a Large Brazilian Company

Silva¹,

Silva²

2021

Proceedings of ‏The 11th International Conference on Research in Engineering, Science &Amp; Technology

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The strategic use of data is one of the prerogatives of the wealth of a company. This premise is true, especially in large companies and in critical periods, as in the pandemic of COVID-19, where each decision is crucial for the organization. Thus, this research demonstrates the case study of a data analysis, with the Power BI® tool, focused on the budget management of business support services of a large Brazilian company. Information demands, the allocation of relevant data and forms of connection between datasets that could generate relevant information were analyzed. Relevant issues presented themselves as hindering the process, demanding strategies for resolution, such as: non-standardized reports; reporting errors; integrations; external reports; access restrictions. In summary, the results obtained were: an objective analysis methodology compatible with Enterprise Relationship Planning (ERP) tools available on the market with results in .xls, .xlsx and .csv formats; the diagnosis of an optimized control of 3.2 million Brazilian reais for the company under study, showing savings of up to 354.59 thousand Brazilian reais; a trend analysis, based on time series (ARIMA) was carried out, in order to demonstrate viability and directions to the business, with millions of reais to be managed and invested, with a prediction between 3 to 6 months.

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Section: Concepts Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%