Predictive Analysis of Various Companies

Running head: PREDICTIVE ANALYSIS
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Predictive Analysis
Name
Institutional Affiliation

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Introduction
The most driving tool for organizations’ success is the performance analytics (Siegel,
2016). Mostly, organizations use their historical performance data to make analysis and therefore
use results to extrapolate and predict about the future performances. This report is concerned
with predictive analysis of various organizations based on their current operational
performances. In addition, their current performances and research would lead to postulations on
their possible areas of future research. The companies that would be studied include; Apple Inc,
Amazon Company, Coca-Cola Company, Toyota Company, Wal-Mart Company and Sinopec
Company.
Apple Inc.
The article has critically focused on the analysis of Apple’s social and governance
responsibilities. Also, the article focuses to critically draw conclusion on Apple’s techniques of
management and conflict resolution between business strategies (Khan, Alam, & Alam, 2015).
Furthermore, the contents of this article include internal and external environment of the Apple
Inc. Notably, the internal environment include company’s culture, funds availability and
management system. On the other hand, the external environment in the article involves political,
economic, social and technological analyses.
Furthermore, the article is relevant to the topic as it gives current analysis of internal and
external environments in the Apple Inc which would then help in predicting the Apple’s future
marketing strategies. Besides, Apple has unique strategies including global cheaper marketing,
premium pricing, integrative full package strategy of software iOS and hardware mobile and
lastly, Apple is a trend setter in cheap marketing strategies through patent wars. Moreover,

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strength analysis reveals that Apple Inc has a great recognition due to its aggressive nature
towards innovation and creativity. On the other hand, the article reveals that from the Apple’s
internal analysis, it is found that their dependency on iPod and iPhone as their overall sales
contribution is dominant.
Amazon Company
The article centers the study about Amazon Company with the aim of investigating the
company’s online marketing promotional contributions and online reviews as consumers’
product demand predictor (Chong, Ch’ng, Liu, & Li, 2017). Notably the article presents the
company to be dealing on online marketing of various commodities like consumer electronics,
beauty products, groceries, gourmet food and baby products. In addition, the article has
developed big data architecture with scrapped Amazon.com pages from asynchronous output/
input calls. Moreover, the completed scraping and crawling data-sets are processed to await
neural network analysis.
Furthermore, the article relates to the topic of predictive analysis as it attempts to predict
whether online review variables like volume and valence of reviews, variables of online
promotional marketing like free deliveries and discounts can influence electronic products
demands in Amazon Company. According to Chong et al. (2017), the article’s empirical
contribution involve big data architecture design that has incorporated analysis of neural network
which can offer future researchers a platform to investigate and predict online demands of
consumer product. Moreover, strength analysis shows that variables both from promotional
marketing strategies and online reviews are vital product demands predictors. Besides, study