Decision Making in Reference to Model of Marketing Predictive Analytics – Theory and Practice

Piotr Tarka , Maciej Łobiński

Abstract

Purpose: The objective of this paper is to describe concepts and assumptions of predictive marketing analytics in reference to decision making. In particular, we highlight issues pertaining to the importance of data and the modern approach to data analysis and processing with the purpose of solving real marketing problems that companies encounter in business. Methodology: In this paper authors provide two study cases showing how, and to what extent predictive marketing analytics work can be useful in practice e.g., investigation of the marketing environment. The two cases are based on organizations operating mainly on Web site domain. The first part of this article, begins a discussion with the explanation of a general idea of predictive marketing analytics. The second part runs through opportunities it creates for companies in the process of building strong competitive advantage in the market. The paper article ends with a brief comparison of predictive analytics versus traditional marketing-mix analysis. Findings: Analytics play an extremely important role in the current process of business management based on planning, organizing, implementing and controlling marketing activities. Predictive analytics provides the actual and current picture of the external environment. They also explain what problems are faced with the company in business activities. Analytics tailor marketing solutions to the right time and place at minimum costs. In fact they control the effi ciency and simultaneously increases the effectiveness of the fi rm. Practical implications: Based on the study cases comparing two enterprises carrying business activities in different areas, one can say that predictive analytics has far more been embraces extensively than classical marketing-mix analyses. The predictive approach yields greater speed of data collection and analysis, stronger predictive accuracy, better obtained competitor data, and more transparent models where one can understand the inner working of the model. Originality: Authors describe the importance of analytics which enhance the decisions that the company makes as it executes strategies and plans, so that the company can be more effective and achieve better results. The key factor that enables to execute marketing strategies accurately and build competitive advantage in the future includes predictive modeling. The ability to predict probable futures allows us to shape the future, rather than merely survive whatever it brings.
Author Piotr Tarka (WZ / KBRiU)
Piotr Tarka,,
- Department of Research Markets and Services
, Maciej Łobiński - Analyx Company
Maciej Łobiński,,
-
Journal seriesManagement and Business Administration. Central Europe, ISSN 2084-3356, e-ISSN 2300-858X, (B 13 pkt)
Issue year2014
Vol22
No1
Pages60-69
Publication size in sheets0.5
Keywords in Englishmodel of predictive analytics, marketing, decisions
DOIDOI:10.7206/mba.ce.2084-3356.90
URL https://mbace.eu/api/files/view/1628.pdf
Languageen angielski
Score (nominal)13
Score sourcejournalList
ScoreMinisterial score = 8.0, 11-12-2019, ArticleFromJournal
Ministerial score (2013-2016) = 13.0, 11-12-2019, ArticleFromJournal
Citation count*2 (2020-08-02)
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