The Influences of Big Data Analytics

he theoretical framework for this book was our ground-up theory of the Scope,
Size, Speed, and Skill (4Ss) and Technological Situational Happenstances (
TSHs) applied to Big data analytics. With in-depth research, we catechized the
effects ...

The Influences of Big Data Analytics

The Influences of Big Data Analytics

The theoretical framework for this book was our ground-up theory of the Scope, Size, Speed, and Skill (4Ss) and Technological Situational Happenstances (TSHs) applied to Big data analytics. With in-depth research, we catechized the effects of the coalesced insights from big data influencing the architectures of incremental and radical business models. We discussed data inflation and the global impact of TSHs. We showed how deft leadership used insights gleaned from big data analytics to make strategic decisions. The big data syndrome led to Microsoft's acquisition of Nokia in our case study. Our study of APPLE Corporation's use of large datasets was explicitly analyzed. Leaderships' failure to incorporate those contextual elements afforded by insights gleaned from big data analytics, concomitant with the associated costs led to acute forms of irrational rationalism, groupthink, and faulty decision making. We explained the statistics used to essentially describe this paradigm shift, such as high dimensionality, incidental endogeneity, noise accumulation, spurious correlation, and computational costs. Significantly, machine learning challenged the status quo by effectively changing the existing technological landscape. To scholarly critics, how would supervised and un-supervised learning algorithms advance the trajectory of perspectives in applied knowledge under the umbrella of big data? Further, political and socio-economics tied to big data was examined. We recommended leaders should have a shared cognition on how to leverage analytics from large datasets for competitive advantages. Most significantly, leaders or managers should be cognizant of the inextricable synergies that seamlessly flow from adroitly implementing a strategy to profit from the speed, size, skill, and scope (i.e. the 4Ss) of the big data environment, conditioned by the leveraging of those transactional situational happenstances generated by increases in market volatility. We concluded the algorithmic processes of leveraging insights from big data have globally resulted in a disruption of current technological pathways.

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The Influences of Big Data Analytics
Language: en
Pages: 236
Authors: Dr. Joseph Aluya, D.B.A.
Categories: Computers
Type: BOOK - Published: 2014-09-05 - Publisher: Author House

The theoretical framework for this book was our ground-up theory of the Scope, Size, Speed, and Skill (4Ss) and Technological Situational Happenstances (TSHs) applied to Big data analytics. With in-depth research, we catechized the effects of the coalesced insights from big data influencing the architectures of incremental and radical business
2nd European Conference on the Impact of Artificial Intelligence and Robotics  
Language: en
Pages:
Authors: Florinda Matos
Categories: Computers
Type: BOOK - Published: 2020-10-22 - Publisher: Academic Conferences International limited

These proceedings represent the work of contributors to the 2nd European Conference on the Impact of Artificial Intelligence and Robotics (ECIAIR 2020), hosted by ACI and Instituto Universitário de Lisboa (ISCTE-IUL), Portugal on 22-23 October 2020. The Conference Chair is Dr Florinda Matos, and the Programme Chairs are Dr Ana
The Impact of Big Data Analytics Maturity on Firm Performance
Language: en
Pages:
Authors: Deepak Arunachalam
Categories: Computers
Type: BOOK - Published: 2019 - Publisher:

Books about The Impact of Big Data Analytics Maturity on Firm Performance
Knowledge Discovery in Big Data from Astronomy and Earth Observation
Language: en
Pages: 400
Authors: Petr Skoda, Fathalrahman Adam
Categories: Computers
Type: BOOK - Published: 2020-03 - Publisher:

Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This
Handbook of Research on the Impact of Deep Learning and IoT on Multi-Industry Applications
Language: en
Pages: 400
Authors: Roshani Raut, Albena Dimitrova Mihovska
Categories: Computers
Type: BOOK - Published: 2021-01-29 - Publisher: Engineering Science Reference

"This book provides insights on how deep learning, together with IOT, will impact various sectors such as healthcare, agriculture, cyber security, and social media analysis applications offering solutions to various real-world problems using these methods from various researchers' point of views"--

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