The Rise of Embedded Analytics

2019 ◽  
pp. 21-43
Author(s):  
Mohsen Attaran ◽  
Sharmin Attaran
Keyword(s):  
Cloud Computing ◽  
Conceptual Model ◽  
Service Industry ◽  
Business Leaders ◽  
The Internet ◽  
Successful Implementation ◽  
Potential Benefits ◽  
Analytic Strategy ◽  
Self Service ◽  
Internet Revolution

The internet revolution, cloud computing, and the evolution to self-service analytics have all contributed to the changing dimensions of business intelligence. To compete effectively in a digitally driven world, business leaders must understand and address the critical shifts taking place in the field of analytics, and how these shifts impact their overall strategy. The key objective of this chapter is to propose a conceptual model for successful implementation of embedded analytics in organizations. This chapter also covers some of the potential benefits of analytics, explores the changing dimensions of analytics, and provides a guide to some of the opportunities that are available for using embedded analytics in business. Furthermore, this study reviews key attributes of a successful modern analytics platform and illustrates how to overcome some of the key challenges of incorporating embedded analytics into an analytic strategy in business. Finally, this study highlights successful implementation of analytics solutions in manufacturing and service industry.

The Rise of Embedded Analytics

2018 ◽  
Vol 9 (1) ◽  
pp. 16-37 ◽  
Author(s):  
Mohsen Attaran ◽  
Sharmin Attaran
Keyword(s):  
Business Intelligence ◽  
Service Industry ◽  
Business Leaders ◽  
Successful Implementation ◽  
Business Analytics ◽  
Business Values ◽  
The World ◽  
Potential Benefits ◽  
Self Service ◽  
Internet Revolution

This article describes how in today's hyper-competitive environment, business leaders around the world are using analytics technologies to create business values, and to gain a better understanding of their customer's needs and wants. However, traditional business analytics are undergoing major changes. The Internet revolution, cloud computing, and the evolution to self-service analytics have all contributed to the changing dimensions of business intelligence. To compete effectively in a digitally driven world, business leaders must understand and address the critical shifts taking place in the field of analytics, and how these shifts impact their overall strategy. The key objective of this article is to propose a conceptual model for successful implementation of Embedded Analytics in organizations. This article also covers some of the potential benefits of analytics, explores the changing dimensions of analytics, and provides a guide to some of the opportunities that are available for using embedded analytics in business. Furthermore, this study reviews key attributes of a successful modern analytics platform and illustrates how to overcome some of the key challenges of incorporating embedded analytics into an analytic strategy in business. Finally, this article highlights successful implementation of analytics solutions in manufacturing and service industry.

Opportunities and Challenges of Implementing Predictive Analytics for Competitive Advantage

2019 ◽  
pp. 64-90
Author(s):  
Mohsen Attaran ◽  
Sharmin Attaran
Keyword(s):  
Competitive Advantage ◽  
Conceptual Model ◽  
Service Industry ◽  
Predictive Analytics ◽  
Successful Implementation ◽  
Implementation Success ◽  
Adoption Rate ◽  
Potential Applications ◽  
Potential Benefits ◽  
Determinants Of Implementation

Predictive analytics has become an increasingly hot topic in analytics landscape. As a result, predictive analytics deployments are gaining momentum. Yet, the adoption rate is slow, and organizations are only beginning to scratch the surface in regard to the potential applications of this technology. Implemented properly, the business benefits can be substantial. However, there are strategic pitfalls to consider. The key objective of this chapter is to propose a conceptual model for successful implementation of analytics in organizations. This chapter highlights the importance of predictive analytics, identifies determinants of implementation success, and covers some of the potential benefits of this technology. Furthermore, this study reviews key attributes of a successful predictive analytics platform and illustrates how to overcome some of the strategic pitfalls of incorporating this technology in business. Finally, this study highlights successful implementation of analytics solutions in manufacturing and service industry.

E-Government

2003 ◽  
pp. 120-138 ◽  
Author(s):  
Shannon Howle Schelin
Keyword(s):  
Information Technologies ◽  
Virtual Communities ◽  
The Internet ◽  
Goods And Services ◽  
Potential Benefits ◽  
Pertinent Information ◽  
Government Involvement ◽  
The Government ◽  
Internet Revolution

Information technology has fundamentally altered many aspects of daily life, including interactions with the government. The role of the Internet continues to increase as more citizens use it to find pertinent information, purchase goods and services, and to participate in virtual communities. By capitalizing on the Internet revolution, governments can create new channels of communication and new methods for participation via e-government. The changing environment, coupled with citizen and business demands, encourages government involvement in e-government initiatives and related uses of information technologies. This essay offers an overview of the historical premises, theoretical constructs, and associated typologies of e-government. These typologies posit a framework for understanding e-government, its potential benefits, and its related challenges.

scholarly journals Factors Affecting the Successful Implementation of Cloud and IoT - A Study on IT and Business Leaders

2019 ◽  
pp. 366-396
Author(s):  
Jipson George Thoomkuzhy ◽  
Mohammed Nazeh
Keyword(s):  
Cloud Computing ◽  
Information Integration ◽  
Business Leaders ◽  
Successful Implementation ◽  
Dynamic Information ◽  
Factors Affecting ◽  
Implementation Challenges ◽  
Share Data ◽  
The Internet Of Things ◽  
Day By Day

The Internet of Things (IoT) is turning into the following Internet-related transformation. It enables billions of gadgets to be associated and speak with one another to share data that enhances the nature of our day-by-day lives. Then again, Cloud Computing gives on-request, helpful and versatile system get to which makes it conceivable to share computing assets, without a doubt, this, thus, empowers dynamic information integration from different information sources. There are numerous issues hindering the fruitful implementation of both Cloud and IoT. The integration of Cloud Computing with the IoT is the best path on which to defeat these issues. The huge number of assets accessible on the Cloud can be greatly helpful for the IoT, while the Cloud can acquire attention to enhance its impediments with true protests in a more powerful and dispersed way. This paper gives to the various factors that affect the integration of the Cloud into the IoT by featuring the integration advantages and implementation challenges. This paper mainly focus on a study which was conducted on various IT and business leaders.

The Need for Digital Workplace

2019 ◽  
Vol 15 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Mohsen Attaran ◽  
Sharmin Attaran ◽  
Diane Kirkland
Keyword(s):  
Service Industry ◽  
Successful Implementation ◽  
Implementation Success ◽  
Digital Workplace ◽  
Adoption Rate ◽  
The Past ◽  
Potential Applications ◽  
Potential Benefits ◽  
Determinants Of Implementation ◽  
Technology Advances

Advances in communications, combined with lifestyle trends, point to a future workforce that is more productive and more capable than ever before. Employees are becoming increasingly dissatisfied with workplace capabilities as communications and productivity technology advances. Employees feel that their workplace is not smart enough and they are ready for a workplace that can accommodate their changing lifestyles. The past few years have seen an explosion in the use of smart workplace technologies. Interest in exploiting digital workplaces and smart offices is increasing, and deployments are gaining momentum. Yet the adoption rate is slow, and organizations are only beginning to scratch the surface in regard to the potential applications of smart workplace technologies. Implemented properly, the business benefits of digital workplaces can be substantial. This article explores the changing dimensions of the workplace. It highlights the importance of smart workplace technologies, identifies determinants of implementation success, and covers some of the potential benefits. Finally, this study reviews the successful implementation of smart workplace technologies in a small service industry.

Opportunities and Challenges of Implementing Predictive Analytics for Competitive Advantage

2018 ◽  
Vol 9 (2) ◽  
pp. 1-26 ◽  
Author(s):  
Mohsen Attaran ◽  
Sharmin Attaran
Keyword(s):  
Service Industry ◽  
Predictive Analytics ◽  
Successful Implementation ◽  
Implementation Success ◽  
The Past ◽  
The World ◽  
Potential Applications ◽  
Potential Benefits ◽  
Analytical Tools ◽  
Determinants Of Implementation

The past few years have seen an explosion in the business use of analytics. Corporations around the world are using analytical tools to gain a better understanding of their customer's needs and wants. Predictive analytics has become an increasingly hot topic in analytics landscape as more companies realize that predictive analytics enables them to reduce risks, make intelligent decisions, and create differentiated customer experiences. As a result, predictive analytics deployments are gaining momentum. Yet, the adoption rate is slow, and organizations are only beginning to scratch the surface in regards to the potential applications of this technology. Implemented properly, the business benefits can be substantial. However, there are strategic pitfalls to consider. The key objective of this article is to propose a conceptual model for successful implementation of predictive analytics in organizations. This article also explores the changing dimensions of analytics, highlights the importance of predictive analytics, identifies determinants of implementation success, and covers some of the potential benefits of this technology. Furthermore, this study reviews key attributes of a successful predictive analytics platform and illustrates how to overcome some of the strategic pitfalls of incorporating this technology in business. Finally, this study highlights successful implementation of analytics solutions in manufacturing and service industry.

Cloud Computing in Library

2014 ◽  
Vol 3 ◽  
pp. 94-112
Author(s):  
Angelė Pečeliūnaitė
Keyword(s):  
Cloud Computing ◽  
Scientific Community ◽  
Digital Age ◽  
International Experience ◽  
The Internet ◽  
Library Services ◽  
General Activity ◽  
Computing Services ◽  
Cloud Computing Services

The article analyses the possibility of how Cloud Computing can be used by libraries to organise activities online. In order to achieve a uniform understanding of the essence of technology SaaS, IaaS, and PaaS, the article discusses the Cloud Computing services, which can be used for the relocation of libraries to the Internet. The improvement of the general activity of libraries in the digital age, the analysis of the international experience in the libraries are examples. Also the article discusses the results of a survey of the Lithuanian scientific community that confirms that 90% of the scientific community is in the interest of getting full access to e-publications online. It is concluded that the decrease in funding for libraries, Cloud Computing can be an economically beneficial step, expanding the library services and improving their quality.

A Survey on Database in Cloud Computing with Reference to the Traditional Database

2017 ◽  
Vol 7 (11) ◽  
pp. 150
Author(s):  
Eter Basar ◽  
Ankur Pan Saikia ◽  
L. P. Saikia
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
The Internet ◽  
Data Organization ◽  
Technology Industry ◽  
Business Applications ◽  
Business Information ◽  
Points Of Interest ◽  
Cloud Databases ◽  
Online Reservation

Data Technology industry has been utilizing the customary social databases for around 40 years. Be that as it may, in the latest years, there was a generous transformation in the IT business as far as business applications. Remain solitary applications have been supplanted with electronic applications, conferred servers with different proper servers and committed stockpiling with framework stockpiling. Lower expense, adaptability, the model of pay-as-you-go are the fundamental reasons, which caused the conveyed processing are transformed into reality. This is a standout amongst the hugest upsets in Information Technology, after the development of the Internet. Cloud databases, Big Table, Sherpa, and SimpleDB are getting the opportunity to be more natural to groups. They featured the hindrances of current social databases as far as convenience, adaptability, and provisioning. Cloud databases are basically utilized for data raised applications, for example, stockpiling and mining of gigantic information or business information. These applications are adaptable and multipurpose in nature. Various esteem based data organization applications, such as managing an account, online reservation, e-exchange and stock organization, and so on are delivered. Databases with the help of these sorts of uses need to incorporate four essential highlights: Atomicity, Consistency, Isolation, and Durability (ACID), in spite of the fact that utilizing these databases isn't basic for utilizing as a part of the cloud. The objective of this paper is to discover the points of interest and disservices of databases generally utilized in cloud frameworks and to survey the difficulties in creating cloud databases

scholarly journals Research on failure rate of self-service payment terminal of power supply company based on cloud computing

2021 ◽  
Vol 680 (1) ◽  
pp. 012007
Author(s):  
Ming Feng Xu ◽  
Fei Song ◽  
Yan Jun Sun ◽  
Shan Lang ◽  
Wen Long Ma
Keyword(s):  
Cloud Computing ◽  
Failure Rate ◽  
Power Supply ◽  
Self Service
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