Book ChapterDOI
Data Science is Here: Are We Ready to Benefit From the Opportunities It Provides?
Dimitar Grozdanov Christozov,Katia Rasheva-Yordanova,Stefka Toleva-Stoimenova +2 more
- pp 108-127
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TLDR
The chapter considers a new digital divide between the society and this small group of people that make sense out of the vast data and help the organization in informed decision making.Abstract:
With the advent of big data, the search for respective data experts has become more intensive. This study aims to discuss data scientist skills and some topical issues that are related to data specialist profiles. A complex competence model has been deployed, dividing the skills into three groups: hard, soft, and analytical skills. The primary focus is on analytical thinking as one of the key competences of the successful data scientist taking into account the trans-discipline nature of data science. The chapter considers a new digital divide between the society and this small group of people that make sense out of the vast data and help the organization in informed decision making. As data science training needs to be business-oriented, the curricula of the Master’s degree in Data Science is compared with the required knowledge and skills for recruitment. Data Science is Here: Are We Ready to Benefit From the Opportunities It Provides?read more
References
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Journal ArticleDOI
A resource-based perspective on information technology capability and firm performance: an empirical investigation
TL;DR: The concept of IT as an organizational capability is developed and empirically examining the association between IT capability and firm performance indicates that firms with high IT capability tend to outperform a control sample of firms on a variety of profit and cost-based performance measures.
Journal ArticleDOI
Big data analytics and firm performance: Effects of dynamic capabilities
Samuel Fosso Wamba,Angappa Gunasekaran,Shahriar Akter,Steven Ji-fan Ren,Rameshwar Dubey,Stephen J. Childe +5 more
TL;DR: The findings confirm the value of the entanglement conceptualization of the hierarchical BDAC model, which has both direct and indirect impacts on FPER and confirm the strong mediating role of PODC in improving insights and enhancing FPER.
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Data scientist: the sexiest job of the 21st century.
TL;DR: Harvard Business School's Davenport and Greylock's Patil take a deep dive on what organizations need to know about data scientists: where to look for them, how to attract and develop them, and how to spot a great one.
Journal ArticleDOI
Data Science and Prediction
TL;DR: Big data promises automated actionable knowledge creation and predictive models for use by both humans and computers and can help improve the quality of knowledge and decision-making in the rapidly changing environment.
Journal ArticleDOI
Data science and prediction
TL;DR: Big data promises automated actionable knowledge creation and predictive models for use by both humans and computers as discussed by the authors, and big data can be used for both human and computer to create knowledge.
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