As one of the most trending business topics, Big Data Analytics is having an enormous influence on today’s executives. Big Data Analytics is improving business efficiency and productivity. Besides, big data has become a whole industry, growing at a fast pace. Additionally, innovative business models based on big data are disrupting traditional markets. This essay provides an overview of the topic Big Data Analytics in a business context and explores the dimensions how and under which circumstances companies can build their strategy around those capabilities and what challenges have to be tackled. Furthermore, a case study illustrates how a company, not even 25 years old, could grow into one of the largest corporations worldwide – due to big data.
Table of Contents
1. Introduction
2. Theoretical Basics
2.1. Big Data Analytics
2.2. Corporate Strategy
3. Strategy based on Big Data Analytics
3.1. Fields of Application
3.2. Big Data Strategy Framework
3.3. Challenges
4. Case Study: Amazon – A Big Data Company?
5. Conclusion
Objectives & Core Themes
The primary objective of this work is to provide a comprehensive overview of how Big Data Analytics influences and shapes modern corporate strategy. It aims to explore the dimensions and circumstances under which organizations can effectively leverage Big Data capabilities to gain a competitive advantage, while also examining the associated organizational and technological hurdles.
- The theoretical foundations of Big Data and corporate strategy.
- Strategic frameworks for the implementation of Big Data in business models.
- Sector-specific fields of application for data-driven insights.
- Practical challenges in managing and analyzing large-scale datasets.
- A detailed analysis of Amazon as a representative case study of a data-driven corporation.
Excerpt from the book
2.1. Big Data Analytics
There is no consensus about the definition of the term “big data”4. Often used synonyms are “business intelligence” and “data mining”5. Siemens and Long (2011) define big data as “datasets whose size is beyond the ability of typical database software tools to capture, store, manage and analyze”6. The most common explanation of big data is based on three dimensions: (i) Volume, (ii) Velocity and (iii) Variety7.
i. Volume refers to the large amount of data. Usually, big data is understood as datasets exceeding one terabyte of size.
ii. Velocity describes the speed in which data is generated and transferred.
iii. Variety refers to the large diversity of data types and sources.
Based on this three-dimensional approach, Beyer and Laney (2012) describe big data in their often-cited definition as “high volume, velocity and variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making”8. In research papers sometimes three more dimensions are mentioned. These are: (iv) Veracity, (v) Variability and (vi) Value9.
Summary of Chapters
1. Introduction: This chapter provides an overview of the growing importance of Big Data Analytics in the modern business environment and outlines the structure of the essay.
2. Theoretical Basics: This section defines the core concepts of Big Data Analytics and Corporate Strategy, setting the conceptual foundation for the subsequent analysis.
3. Strategy based on Big Data Analytics: This chapter examines various fields of application, introduces a strategic framework for Big Data implementation, and discusses the primary challenges organizations face.
4. Case Study: Amazon – A Big Data Company?: This section serves as a practical application of the concepts, demonstrating how Amazon evolved into a leading global corporation through the integration of Big Data.
5. Conclusion: The final chapter summarizes the findings and provides an outlook on the future necessity of Big Data for long-term strategic success.
Keywords
Big Data, Analytics, Corporate Strategy, Business Model, Data Management, Value Chain, Innovation, Competitive Advantage, Data Mining, Decision Making, Amazon, Strategic Management, Information Processing.
Frequently Asked Questions
What is the core subject of this document?
The document investigates the intersection of Big Data Analytics and corporate strategy, analyzing how data-driven insights can inform and reshape organizational decision-making processes.
What are the primary themes covered in the paper?
The main themes include defining Big Data components, exploring strategic business frameworks, identifying industry-specific applications, addressing data-related management challenges, and analyzing the success story of Amazon.
What is the central research goal?
The goal is to explore how companies can integrate Big Data into their strategies to enhance efficiency, productivity, and competitive positioning within their respective markets.
Which scientific approach does the author use?
The author employs a structured literature review combined with a qualitative case study approach to illustrate theoretical frameworks through real-world business practice.
What is discussed in the main body of the work?
The main body covers the theoretical dimensions of Big Data, the strategic alignment of corporate goals with data capabilities, the implementation frameworks by Mazzei and Noble, and the practical case of Amazon's growth.
Which keywords best characterize this work?
Key terms include Big Data, Corporate Strategy, Business Intelligence, Data-driven Decision Making, and Competitive Advantage.
How does the author define the "Big Data Strategy Framework"?
It is presented as a framework consisting of three distinct strategic approaches: using data to solve value chain problems, utilizing data as a standalone business model, and leveraging data to drive continuous innovation and disruption.
What are the most significant "data challenges" highlighted in the paper?
The paper identifies challenges related to the technical characteristics of data, specifically the high volume, velocity, variety, veracity, and the complexity of extracting economic value from diverse data sources.
How has Big Data specifically impacted Amazon’s business model?
Amazon evolved from an online bookstore into a global technology company by integrating data analysis into all operations, from personalized recommendations to logistics optimization and cloud computing services via AWS.
- Citar trabajo
- Gabriel Socha (Autor), 2018, How Big Data Analytics can shape Corporate Strategy, Múnich, GRIN Verlag, https://www.grin.com/document/437002
