Business Analytics for Technology Management: A Comprehensive Report
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Business analytics for technology management
1National Institute of Standards and Technology, Boulder, CO 80305, USA
2Department of Electrical, Computer, and Energy Engineering, University of Colorado, Boulder, CO 80309, USA
3Department of Metallurgical and Materials Engineering, Colorado School of Mines, Golden, CO 80401, USA
4National Institute for Materials Science, Tsukuba, Ibaraki 305, Japan
Business analytics uses various statistical analyses extensively in the research using predictive modeling for decision making in for the system. Business
analytics for technology management plays an important role as it determines statically data about a particular technology which is currently in use.
The improvements that need to be made in the technologies are determined through the stats used in business analytics of that technology. Deep
learning about the technology also helps the system to improve the techniques and quality of work provided by the technology and these techniques are
also determined through the analysis of the techniques. Business analytics provides a basic structure that needs to be worked upon to improvise the
technology that is being used in a particular system, and its work is defined for that system. The improvements made for the framework and the model
structure are determined through these improvement techniques. Business analytics for technology management is a combination of various techniques,
skills, and tools that are used by the organizations that help the system to carry forward the technology of that the organization is currently working on.
It also provides the insight of the business analysis that drives the organization's planning based on the data and statistics that are determined from the
previous study of the organization. It also uses the tools of artificial intelligence and analytics to determine the use of artificial intelligence in the
technologies used in organizations. It digs the data from the past and current to optimize the current success of the organization.
Index Terms— Business Analytics, Management, Organization
I. INTRODUCTION
he business analytics uses the data, and the analysis that
is being made in the system is used for the practical
implementation of the data in the organization. The
implemented work in the system is used for the constructing
future development model for that organization system. The
learning made through business analytics is also used to make
frameworks of the organization that will be worked upon for
the organizational working. Business analytics for technology
management provides scope, opportunities, advantages, and
disadvantages of the system working of the technology used in
the system. It is very important to perform all the data gained
analysis result to the system to gain an efficient working
model for the technology that is being used and will be used in
the system. The analysis helps in innovation model funneling,
which is used in the system to determine the innovative
methodologies which will be used in future for the efficient
working of the organization. The technological innovation in
business analytics is associated to the new technology
development and process of innovation and initiatives that are
taken into account when a new technique or technology is
launched by a particular organization for a particular system.
These technologies are used in various devices and systems to
make the system more useful. These are used in the system to
increase the efficiency of the system, and this focuses on the
accuracy of the system to provide the user with the most
efficient manner. Business analytics is one of the most critical
methods that are used in the system to determine the
competitive systems and technologies which are used for
determining the same type of outcomes. Business analytics
uses various information and communicational technologies to
T determine high functional technological systems to get the
most efficient results for the system and to use the methods
and tools of the provided technology to the most. Such an
analysis of the system model provides the impact of the
technologies globally on the system. It provides computer-
aided manufacturing and flexibility to the technology that is
being used by the user and provides the user with the most
related outcome for the research that is being worked on in the
system. Business analytics provides the system with the
innovative incremental changes in the product of the
organization which uses the current working of the technology
to perform slight and incremental changes in the existing
product and methods.
II. LITERATURE REVIEW
The article describes the methods and the skills
which are used in the banks and respond to the policy
directives and the consequences faced by the organizations
through the business analytics gained from the past working
status. The business analytics tools and techniques determine
the functions and factors which are used in the technical
autonomy to accomplish the investment needed in the
organization to complete and overcome the requirements
needed to upgrade the technology to make it more efficient for
the system. The research of the journal also focuses on the
policy priorities and beneficiaries who financially support the
projects which are undergoing to complete the upgradations in
the technology used for the system.
0018-9464 © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. (Inserted by IEEE.)
1
Business analytics for technology management
1National Institute of Standards and Technology, Boulder, CO 80305, USA
2Department of Electrical, Computer, and Energy Engineering, University of Colorado, Boulder, CO 80309, USA
3Department of Metallurgical and Materials Engineering, Colorado School of Mines, Golden, CO 80401, USA
4National Institute for Materials Science, Tsukuba, Ibaraki 305, Japan
Business analytics uses various statistical analyses extensively in the research using predictive modeling for decision making in for the system. Business
analytics for technology management plays an important role as it determines statically data about a particular technology which is currently in use.
The improvements that need to be made in the technologies are determined through the stats used in business analytics of that technology. Deep
learning about the technology also helps the system to improve the techniques and quality of work provided by the technology and these techniques are
also determined through the analysis of the techniques. Business analytics provides a basic structure that needs to be worked upon to improvise the
technology that is being used in a particular system, and its work is defined for that system. The improvements made for the framework and the model
structure are determined through these improvement techniques. Business analytics for technology management is a combination of various techniques,
skills, and tools that are used by the organizations that help the system to carry forward the technology of that the organization is currently working on.
It also provides the insight of the business analysis that drives the organization's planning based on the data and statistics that are determined from the
previous study of the organization. It also uses the tools of artificial intelligence and analytics to determine the use of artificial intelligence in the
technologies used in organizations. It digs the data from the past and current to optimize the current success of the organization.
Index Terms— Business Analytics, Management, Organization
I. INTRODUCTION
he business analytics uses the data, and the analysis that
is being made in the system is used for the practical
implementation of the data in the organization. The
implemented work in the system is used for the constructing
future development model for that organization system. The
learning made through business analytics is also used to make
frameworks of the organization that will be worked upon for
the organizational working. Business analytics for technology
management provides scope, opportunities, advantages, and
disadvantages of the system working of the technology used in
the system. It is very important to perform all the data gained
analysis result to the system to gain an efficient working
model for the technology that is being used and will be used in
the system. The analysis helps in innovation model funneling,
which is used in the system to determine the innovative
methodologies which will be used in future for the efficient
working of the organization. The technological innovation in
business analytics is associated to the new technology
development and process of innovation and initiatives that are
taken into account when a new technique or technology is
launched by a particular organization for a particular system.
These technologies are used in various devices and systems to
make the system more useful. These are used in the system to
increase the efficiency of the system, and this focuses on the
accuracy of the system to provide the user with the most
efficient manner. Business analytics is one of the most critical
methods that are used in the system to determine the
competitive systems and technologies which are used for
determining the same type of outcomes. Business analytics
uses various information and communicational technologies to
T determine high functional technological systems to get the
most efficient results for the system and to use the methods
and tools of the provided technology to the most. Such an
analysis of the system model provides the impact of the
technologies globally on the system. It provides computer-
aided manufacturing and flexibility to the technology that is
being used by the user and provides the user with the most
related outcome for the research that is being worked on in the
system. Business analytics provides the system with the
innovative incremental changes in the product of the
organization which uses the current working of the technology
to perform slight and incremental changes in the existing
product and methods.
II. LITERATURE REVIEW
The article describes the methods and the skills
which are used in the banks and respond to the policy
directives and the consequences faced by the organizations
through the business analytics gained from the past working
status. The business analytics tools and techniques determine
the functions and factors which are used in the technical
autonomy to accomplish the investment needed in the
organization to complete and overcome the requirements
needed to upgrade the technology to make it more efficient for
the system. The research of the journal also focuses on the
policy priorities and beneficiaries who financially support the
projects which are undergoing to complete the upgradations in
the technology used for the system.
0018-9464 © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. (Inserted by IEEE.)
1
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FIG. 1
Business Analytics ‘7-S’ for Top Technology Innovations
The main aim of the research is to prioritize the
development of technology and the software as the primary
issue of the system. This follows a patient growth towards the
upgrade software technologies that would be used in the banks
to secure the data transmission and the network system of the
applied area. Also, the profit motive of the banks is also taken
into account as they play an important role in the financial
segments in any technological up gradations. It is the most
important factor of the research as it is a strong capital based
model which focuses on the financial growth of the
organizations or banks through the implementation of the
business analytics status to the model. According to the
research, the planning plans for any organization are
determined through this report.
FIG. 2
Scope Analytics
The issue of the research is the implementation of the
data gained to the internal processes of the system. These
processes are difficult to be implemented on the processes that
take place in the system internally and where the analysis or
the stats of the growth of the organizations doesn't get
hampered. These process, methods, and techniques are static.
They don't get affected by the change of the tools and
techniques which are used for the growth of the organization.
These methods and tools cannot be changed in the system to
get efficient results for the system.
FIG. 3
System Analytics
The future work of the research in the journal
depends on the implementation of the techniques that are
needed for the research to improve the internal process of the
system. The future work requires different methodologies,
which includes all the details and the procedure through which
the business analytics can be implemented on the internal
processes of the bank organizations of the technology
business.
III. METHODOLOGY
The methods, processes, tools, and techniques used to
implement the business analytics in the system require an
analytical framework as well as an evaluation methodology
for the system. The analytical framework for a system helps to
determine the stats of the working model that is used in the
current procedure of the system. Also, it helps to determine
the efficiency of the system and the techniques used in the
system. The designed methodology of using analytical
framework is a static approach to increase the efficiency of the
working system by improving the technology and
methodologies that are currently used in the system. It can also
determine the future growth of that particular technology and
helps the system to manage the technology. The evaluation
criteria of any research, when business analytics is
implemented in the system, become the growth of the
organization after implementing the data of the past work to
the system. The evaluation methodology helps the system to
evaluate and conclude the use of the technologies in the
present given system. Also, when business analytics are used
in the system, the system follows such a procedure that gives
the data about the future working of the system. This
methodology in the research of the article helps to determine
0018-9464 © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. (Inserted by IEEE.)
2
FIG. 1
Business Analytics ‘7-S’ for Top Technology Innovations
The main aim of the research is to prioritize the
development of technology and the software as the primary
issue of the system. This follows a patient growth towards the
upgrade software technologies that would be used in the banks
to secure the data transmission and the network system of the
applied area. Also, the profit motive of the banks is also taken
into account as they play an important role in the financial
segments in any technological up gradations. It is the most
important factor of the research as it is a strong capital based
model which focuses on the financial growth of the
organizations or banks through the implementation of the
business analytics status to the model. According to the
research, the planning plans for any organization are
determined through this report.
FIG. 2
Scope Analytics
The issue of the research is the implementation of the
data gained to the internal processes of the system. These
processes are difficult to be implemented on the processes that
take place in the system internally and where the analysis or
the stats of the growth of the organizations doesn't get
hampered. These process, methods, and techniques are static.
They don't get affected by the change of the tools and
techniques which are used for the growth of the organization.
These methods and tools cannot be changed in the system to
get efficient results for the system.
FIG. 3
System Analytics
The future work of the research in the journal
depends on the implementation of the techniques that are
needed for the research to improve the internal process of the
system. The future work requires different methodologies,
which includes all the details and the procedure through which
the business analytics can be implemented on the internal
processes of the bank organizations of the technology
business.
III. METHODOLOGY
The methods, processes, tools, and techniques used to
implement the business analytics in the system require an
analytical framework as well as an evaluation methodology
for the system. The analytical framework for a system helps to
determine the stats of the working model that is used in the
current procedure of the system. Also, it helps to determine
the efficiency of the system and the techniques used in the
system. The designed methodology of using analytical
framework is a static approach to increase the efficiency of the
working system by improving the technology and
methodologies that are currently used in the system. It can also
determine the future growth of that particular technology and
helps the system to manage the technology. The evaluation
criteria of any research, when business analytics is
implemented in the system, become the growth of the
organization after implementing the data of the past work to
the system. The evaluation methodology helps the system to
evaluate and conclude the use of the technologies in the
present given system. Also, when business analytics are used
in the system, the system follows such a procedure that gives
the data about the future working of the system. This
methodology in the research of the article helps to determine
0018-9464 © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. (Inserted by IEEE.)
2

> FOR CONFERENCE-RELATED PAPERS, REPLACE THIS LINE WITH YOUR SESSION NUMBER, E.G., AB-02 (DOUBLE-CLICK HERE) <
the result and evaluate the outcome of the techniques used in
upgrading the current technology of the system. The
methodology used in the system defines the role of every
factor that affects the technology of the system model. It also
recognizes the working of the various model that is used in the
system to determine the efficient outcome of the research by
using the current working techniques and technology in the
system. The methodology defined for business analytics for
technology management is different for every technical system
in the network. The methodology empirically investigates
every angle of the research network system so that the most
efficient result can be obtained through the use of the
technology. Also, it is used to develop the upgrade in the
current working technology to make the system more efficient.
‘
REFERENCES
[1] J. Ferraz and L. Coutinho, "Investment policies, development finance
and economic transformation: Lessons from BNDES", Structural
Change and Economic Dynamics, vol. 48, pp. 86-102, 2019. Available:
10.1016/j.strueco.2017.11.008.
[2] S. Wamba, A. Gunasekaran, S. Akter, S. Ren, R. Dubey, and S.
Childe, "Big data analytics and firm performance: Effects of dynamic
capabilities", Journal of Business Research, vol. 70, pp. 356-365, 2017.
Available: 10.1016/j.jbusres.2016.08.009.
[3] R. Vidgen, S. Shaw and D. Grant, "Management challenges in
creating value from business analytics", European Journal of
Operational Research, vol. 261, no. 2, pp. 626-639, 2017. Available:
10.1016/j.ejor.2017.02.023.
[4]S. Chakraborty and S. Chakraborty, "Business Analytics for
Technology Management", 2019. [Online]. Available:
https://www.researchgate.net/publication/331439112_Business_Analytic
s_for_Technology_Management.
[5] S. Ji-fan Ren, S. FossoWamba, S. Akter, R. Dubey and S. Childe,
"Modelling quality dynamics, business value and firm performance in a
big data analytics environment", International Journal of Production
Research, vol. 55, no. 17, pp. 5011-5026, 2016. Available:
10.1080/00207543.2016.1154209.
[6] A. Gunasekaran et al., "Big data and predictive analytics for supply
chain and organizational performance", Journal of Business Research,
vol. 70, pp. 308-317, 2017. Available: 10.1016/j.jbusres.2016
0018-9464 © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. (Inserted by IEEE.)
3
the result and evaluate the outcome of the techniques used in
upgrading the current technology of the system. The
methodology used in the system defines the role of every
factor that affects the technology of the system model. It also
recognizes the working of the various model that is used in the
system to determine the efficient outcome of the research by
using the current working techniques and technology in the
system. The methodology defined for business analytics for
technology management is different for every technical system
in the network. The methodology empirically investigates
every angle of the research network system so that the most
efficient result can be obtained through the use of the
technology. Also, it is used to develop the upgrade in the
current working technology to make the system more efficient.
‘
REFERENCES
[1] J. Ferraz and L. Coutinho, "Investment policies, development finance
and economic transformation: Lessons from BNDES", Structural
Change and Economic Dynamics, vol. 48, pp. 86-102, 2019. Available:
10.1016/j.strueco.2017.11.008.
[2] S. Wamba, A. Gunasekaran, S. Akter, S. Ren, R. Dubey, and S.
Childe, "Big data analytics and firm performance: Effects of dynamic
capabilities", Journal of Business Research, vol. 70, pp. 356-365, 2017.
Available: 10.1016/j.jbusres.2016.08.009.
[3] R. Vidgen, S. Shaw and D. Grant, "Management challenges in
creating value from business analytics", European Journal of
Operational Research, vol. 261, no. 2, pp. 626-639, 2017. Available:
10.1016/j.ejor.2017.02.023.
[4]S. Chakraborty and S. Chakraborty, "Business Analytics for
Technology Management", 2019. [Online]. Available:
https://www.researchgate.net/publication/331439112_Business_Analytic
s_for_Technology_Management.
[5] S. Ji-fan Ren, S. FossoWamba, S. Akter, R. Dubey and S. Childe,
"Modelling quality dynamics, business value and firm performance in a
big data analytics environment", International Journal of Production
Research, vol. 55, no. 17, pp. 5011-5026, 2016. Available:
10.1080/00207543.2016.1154209.
[6] A. Gunasekaran et al., "Big data and predictive analytics for supply
chain and organizational performance", Journal of Business Research,
vol. 70, pp. 308-317, 2017. Available: 10.1016/j.jbusres.2016
0018-9464 © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. (Inserted by IEEE.)
3
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