TITLE

Identify Business Technology Trend using Integration of Online Data Sources (SCOPUS)

TYPE

Journal Article

Abstract

Technology greatly affect the sustainability of a business, one of the reason for identifies technology trends be a necessity in business. Many forecasting methods have been tested to identify trends, one of them is call method of ARIMA (Auto regressive Integrated Moving Average). The use of datasets that variated greatly affect forecasting results so that are needed the integration of data sources to collecting dataset varied and relevant. This paper will compare the results of forecasting with outcome journal of Delloite consultant firm, PWC and Accenture in 2014, and to measure the degree of forecasting error (error accuracy) it used the method of MAPE (Mean Absolute Percentage Error). Result of this study found the use of ARIMA forecasting method has an error rate below 20% and the results concluded forecasting Business Analytics technology is the technology trend until 2019.

Citation

Pardosi I. A and Gaol D. F. L. (2015). Identify Business Technology Trend using Integration of Online Data Sources (SCOPUS). Advanced Science Letters, 21 (12), 3684-3688.

Keywords

ARIMA; Business trend; Forecasting technology; Technology trend

Published On

Advanced Science Letters

Author

Irpan Adiputra Pardosi

  • Dr. Ford Lumban Gaol

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