<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Over the last few decades Big Data has impetuously penetrated almost every domain of human interest/action and it has (more or less consciously) become a ubiquitous presence of day to day life. The main questions this exploratory paper seeks to address (throughout its two parts) are the following: What is the (actual) impact of Big Data on Business &amp; Management and How can businesses (through their management) leverage the potential of Big Data to their benefit? A gradual, step by step approach (based on literature review and a variety of secondary data) will guide the paper in search for answers to the abovementioned questions: starting with a concise history of the topic Big Data as reflected in academia and a critical content analysis of the Big Data concept, the paper will then continue by emphasizing some of the most significant realities and trends that characterize the supply-side of the big data industry; the second part of the paper is dedicated to the investigation of the demand-side of the big data industry – by highlighting some evidences (and projections) on the impact of big data analytics on Business &amp; Management (both at aggregate and granular level) and exploring what companies could and should do (through their management) in order to best capitalize on the opportunities of big data and avoid/minimize the impact of its threats.</p></abstract>

Over the last few decades Big Data has impetuously penetrated almost every domain of human interest/action and it has (more or less consciously) become a ubiquitous presence of day to day life. The main questions this exploratory paper seeks to address (throughout its two parts) are the following: What is the (actual) impact of Big Data on Business & Management and How can businesses (through their management) leverage the potential of Big Data to their benefit? A gradual, step by step approach (based on literature review and a variety of secondary data) will guide the paper in search for answers to the abovementioned questions: starting with a concise history of the topic Big Data as reflected in academia and a critical content analysis of the Big Data concept, the paper will then continue by emphasizing some of the most significant realities and trends that characterize the supply-side of the big data industry; the second part of the paper is dedicated to the investigation of the demand-side of the big data industry – by highlighting some evidences (and projections) on the impact of big data analytics on Business & Management (both at aggregate and granular level) and exploring what companies could and should do (through their management) in order to best capitalize on the opportunities of big data and avoid/minimize the impact of its threats.

Relevance of Big Data for Business and Management. Exploratory Insights (Part I)

Studies in Business and Economics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Relevance of Big Data for Business and Management. Exploratory Insights (Part I)"}

Over the last few decades Big Data has impetuously penetrated almost every domain of human interest/action and it has (more or less consciously) become a...

Relevance of Big Data for Business and Management. Exploratory Insights (Part I)

Online veröffentlicht: 10. Sept. 2018

Seitenbereich: 153 - 163

DOI: https://doi.org/10.2478/sbe-2018-0027

Schlüsselwörter
Big Data, Big Data Analytics, Value, Business, Management

© 2018 Ogrean Claudia, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Relevance of Big Data for Business and Management. Exploratory Insights (Part I)

Online veröffentlicht: 10. Sept. 2018

Seitenbereich: 153 - 163

DOI: https://doi.org/10.2478/sbe-2018-0027

SchlüsselwörterBig Data, Big Data Analytics, Value, Business, Management

© 2018 Ogrean Claudia, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Big Data, Big Data Analytics, Value, Business, Management