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- International Journal of Management (IJM)
Volume 11, Issue 5, May 2020, pp. 376-389, Article ID: IJM_11_05_037
Available online at http://www.iaeme.com/ijm/issues.asp?JType=IJM&VType=11&IType=5
Journal Impact Factor (2020): 10.1471 (Calculated by GISI) www.jifactor.com
ISSN Print: 0976-6502 and ISSN Online: 0976-6510
DOI: 10.34218/IJM.11.5.2020.037
© IAEME Publication Scopus Indexed
BIG DATA ANALYTICS: LITERATURE STUDY
ON HOW BIG DATA WORKS TOWARDS
ACCOUNTANT MILLENNIAL GENERATION
Kevin Deniswara
Accounting Department, Faculty of Economics and Communication,
Bina Nusantara University, Indonesia
Business Risk Management - Research Interest Group,
Bina Nusantara University, Indonesia
Bambang Leo Handoko
Accounting Department, Faculty of Economics and Communication,
Bina Nusantara University, Indonesia
Archie Nathanael Mulyawan
Accounting Department, Faculty of Economics and Communication,
Bina Nusantara University, Indonesia
ABSTRACT
The focus of this research is to find solutions about millennial generation towards
Big Data and other advanced technologies. The rise of the Industrial Revolution 4.0
produced large amounts of data so that they could provide various opportunities for
the more developed industries. There is several software that can be used in order to
conduct analysis of big data, which is could increase efficiency in job. However, the
risen of technology also become the threats to employee which can make them lose
their jobs especially for millennial generation who live in digital era. Therefore, this
research was conducted to help young accountants and auditors to develop better in
thinking in a more innovative and focused way. Regarding to the research, researcher
will know about how Millennial generation understand about the technology, the role
of Big Data Analytics for millennial generation, and that needs to be expanded to
replace rapidly changing changes.
Key words: Big data, millennial generation, analytics, industrial revolution 4.0
Cite this Article: Kevin Deniswara, Bambang Leo Handoko, Archie Nathanael
Mulyawan, Big Data Analytics: Literature Study on How Big Data Works towards
Accountant Millennial Generation. International Journal of Management, 11 (5),
2020, pp. 376-389.
http://www.iaeme.com/IJM/issues.asp?JType=IJM&VType=11&IType=5
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- Big Data Analytics: Literature Study on How Big Data Works towards Accountant Millennial
Generation
1. INTRODUCTION
We’ve entered a new era based on digital innovation which known as the era of the Industrial
Revolution 4.0 that creates a lot of innovation and development, especially in the field of
technology. The presence of various advanced technologies (Big Data, AI, 3D printing,
drones, virtual reality, the Internet of Things) can help work and people in their activities. For
example, in daily life usually humans are more helped by the presence of smart phones that
have functions such as Google, Maps and Virtual Assistants (Siri, Alexa, Bixby, Cortana,
Google Assistant). Before the existence of technology in jobs where humans worked
manually, it started looking for data, receiving data (inputs) that were limited and few,
processing them into information, until they became results that could be information for
external users. But now with the existence of the Internet, where you can connect many
objects and devices, companies can receive large amounts of data (big data) and the help of
machines does not require human performance to complete a lot of work in a limited time.
Data is important for humans to be the basis for making future decisions that will be
processed into useful information, given that the data generated has reached a large amount in
number per day with technological developments, so companies must update their knowledge
to know more about big data. Big Data has existed since the 2000s with the amount of data
reaching terabytes exceeding the storage limit and the computer itself. From the latest
information (CNN Indonesia, 2018) confirm that IDC (International Data Corporation)
conducted a survey in 2015-2016 where 70% of companies invested in Big Data and
Analytics, but there was a decrease of up to 40% due to lack of understanding and lack of
knowledge about the procedures for analyzing Big Data. In 2018, the percentage has already
grown to 70% with many companies studying Big Data technology. In addition, research by
IBM states that currently all human produce 2.5 trillion data; and 90% of data produced
worldwide has been created in the last two years alone which mean the world’s data volume
will grow 40% each year. (IBM; Waal Montgomery). Therefore, large amounts of data are
certainly not easily tracked manually with limited time. Related to this research, it needed a
technology to analyze various types of data to find various opportunities and threats
contained.
Big Data Analytics is an analytical technique used to examine all procedures for receiving
large amounts of data that helps find errors / fraud and opportunities to become the basis for
the company when making the next decision. Analysis activities are assisted using technology
in the form of software programmed to facilitate analysis. Activities to do this procedure are
carried out by the next generation that lives alongside technology, which is millennial
generation. As a new generation, you must be able to renew yourself so as not to be left
behind by change and have knowledge as a basis for completing work in accordance with the
profession of interest.
That’s why the topic of this research is “Big Data Analytics: Literature Study on How Big
Data Works towards Accountant Millennial Generation” aimed at the next generation to
experience it, the millennial generation where young accountants can find solutions to
develop increasingly complex technological developments.
1.1. Problems Identification
Based on the background of the problem, we make the following research question:
How millennial generation understands about Big Data and the technology that used to
analyze numerous amounts of data?
What is the role of Big Data Analytics in the operational activities of the company?
How have millennial been successful in a rapidly changing world?
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How to improve hard skills and soft skills as an important asset in activities and work?
1.2. The Purpose of the Research
The main purpose of this research is to find and study the millennial generation to discover
how they understand and know the influence of Big Data in the company and to examine the
role of Big Data Analytics in the current operational activities of the company. Additionally,
this research focuses on Millennial Generation on how they will play a role in increasing their
knowledge and ideas to advance sustainable businesses.
2. LITERATURE REVIEW
2.1. Millennial Generation and Technology
Generation is a term for humans who were born in a particular year, backed by the age and
lifestyle differences of their time. As stated by (Strauss and Howe) that the generation as an
aggregate of all people born over a period of approximately twenty years or approximately the
duration of a phase of childhood, adult, middle age and old age. Generation itself is a term
that breaks it down into sections like Baby Boomers, Gen X, Gen Y (Millennial), Gen Z, and
Generation Alpha. Each generation has a different way of life at that time. According to
experts and researchers, Millennial generally use the early 1980s as the beginning of the birth
of this group and from the mid-1990s to the early 2000s as the end of birth and are known as
the generation born in the digital age which in digital innovation era (Kominfo, 2016). Now
with the existence of sophisticated and modern technology, it will bring significant changes in
people's lifestyle.
It is common knowledge that technology aids and comfort in activities since they were
young, so they are accustomed to living instantly with the help of technology such as the
Internet and gadgets. Of course, if technology affects all activities, there is a possibility that
technology can help people in their work. The presence of innovation in technology has a big
impact in the economic world, such as the presence of Financial technology (Gopay, Dana,
PayLater, OVO), Big Data Analytics which helps accountants to process Big Data, the
Internet that help people to connect to any networks they’d like, and several other things that
help businesses, companies, and banking. However, the weakness of technological
development is the loss of many jobs, especially at this time jobs will be threatened to be
replaced especially accountants.
As millennial accountants, in addition to being able to use technology, they must always
be updated to be able to use advanced technologies in the form of software and other
applications that help work as the challenges they face. As a millennial professional
accountant, it is not only required to have creativity, critical thinking and innovation, instead,
competent skills in the use of technology-based software. According to Ainun Na'im, the
Secretary General of the Ministry of Technology and Research in Higher Education, asked
Indonesian millennial accountants to be ready to face the challenges of work in the era of the
Industrial Revolution 4.0 (Gatra.com, 2019).
2.2. Accounting and Auditing
Accounting is a profession led by professional accountants who play an important role in
determining company activities in which (Horngren Harrison, 2007: 4) also claim that
accounting as an information system that measures the business processes of operating
activities, the process of entering data and turn it into a report as a basis for information that
results are communicated to decision makers. In addition, the official body established by the
American Institute of Certified Public Accountants (AICPA) which publishes accounting
statements and principles, namely the FASB (Financial Accounting Standards Board), states
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that accounting is a service activity whose function is to provide quantitative information
which is then used to decision making in the economy. Without accounting, can cause the
companies/entities into fatal condition where no one records transactions as evidence of
inflows and outflows of assets and cash flows of the company and provides information from
financial statements that will be used as a basis for evaluating employee performance results
to determine the company's development in a period. Accounting itself is divided into several
types that perform different activities but have a common goal, that is, as a basis for making
decisions and producing adequate information, such as auditing.
According to (Arens and Loebbecke, 2003), audit is a process of gathering and evaluating
evidence of information that can be measured in an economic entity that makes it competent
and independent in order to determine and report information in accordance with established
criteria. Audit must be carried out by independent and competent. Meanwhile, (Sukrisno
Agoes, 2004) argues that the Audit is a critically and systematically performed examination
by an independent party, financial statements prepared by management and accounting
records and supporting evidence, in order to provide an opinion on reasonableness of the
financial statements. Certainly, the audit process is carried out by professional auditors who
work in accordance with the rules and regulations to help evaluate company information
competently and independently as transmitted in accordance with previous experts. The main
task of the auditor is to be responsible for his audit activities so that they can carry them out in
accordance with skeptical procedures and judgments so as not to easily believe a statement
without any supporting evidences. In addition, the auditor will produce an independent audit
report as a statement of opinion on whether a company's financial statements are appropriate
along with the standards as a basis for information for other interested parties. To produce an
audit report, the auditor requires various types of supporting data as a basis for giving his
opinion. However, at this time the data can be generated in large quantities, so it is not
possible to process it with human labor in a limited time. According to (Krahel and Titera,
2015) unfortunately, Accounting and auditing standards continue to use provisions that have
not been updated in the evidence-seeking process with traditional methods such as sampling
in ISA (International Standards on Auditing). Because of the changing through a research that
was previously discovered by (Adrian, Martina, Terrence, and Tom, 2018) Big Data could be
a game-changer and challenge for auditors today.
2.3. Big Data and Big Data Analytics
Big Data emerged in the 2000s, where much data could be generated from technological
developments along with the rise of the Internet of Things (IoT), more objects and devices
connected to the Internet. Next to knowing about technology, advances in machine learning
have produced more data. Big Data is a larger and more complex collection of data, especially
from new data sources. This data set is so large that traditional data processing software
cannot manage it. Businesses have long understood that if they can capture large amounts of
data, analyze and produce it into quality information, they can significantly influence business
from the data they collect. When computer applications in an organization have become the
main source of information for data producers, personal and digital data communication
devices will increase data volumes exponentially (Herschel and Miori, 2017; IBM).
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Figure 1 The Definition of Big Data, (Sevima, 2019)
The concept of Big Data has laws of 4V as Volume with data generated in large
quantities, Variations where the data obtained has a variety of types, Velocity is how the data
speed is processed when entering data to process the data until they become output, and
Veracity associated with the integrity of the data obtained (Laney, 2012). The following are
explanations about 4V Big Data:
2.3.1. Volume
Based on investigation by (Kominfo, 2018), the world has currently entered the Zeta byte Era.
The data over time underwent a great deal of development that made it impossible to use
human labor. With continued development, (Cisco, 2017) predicts that the volume of data
generated in the next three years will reach three times compared to the volume of data in
2016. The presence of social networks also increases the data generated.
2.3.2. Variety
With the presence of the Internet, social networks and machine-to-machine (M2M) can be a
source of more information obtained. The diversity of sources produces different types of data
(Kominfo, 2018). The data variations are divided into 2 types; there are structured and
unstructured data. Structured data produces clear, sequential, and easy-to-write data patterns.
These data refer to tables or numbers. Meanwhile, unstructured data produces data that is
random and difficult to identify as non-sequential.
2.3.3. Velocity
According to (Domo, 2017) in 2017, the speed of data production reaches 2.5 quintillion
bytes per day, certainly not the amount that can be done with human labor which have limited
time.
2.3.4. Veracity
The data must be tested to determine its accuracy first so as not to harm the company. Large
amounts of data, in addition to be an opportunity for the company's progress as a basis for
decision-making, can be a threat in the presence of fictitious data and fraud. Therefore, it is
necessary to test the integrity of the data.
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Figure 2 4V Big Data Concepts (Rohan Joseph)
Big Data is a challenge for companies in its processing, you need technological assistance
to do the analysis process of received data can be completed in a more efficient time and
increase the effectiveness of the work. For this reason, technology exists to assist in the
processing of relatively large amounts of data, namely Big Data Analytics.
Based on research by (ICCA Indonesia, 2017), Big Data Analytics is a process of testing
large data sets to find hidden patterns, unknown correlations, market trends that change
according to demand and supply, and the customer preferences and other useful business
information. With the results obtained, can make marketing more effective, companies find
new opportunities to determine future directions, become the basis for decision-making and
increase the effectiveness and efficiency in the company's operational activities. Meanwhile,
according to research by The Data Warehousing Institute (TDWI, 2011), it states that after the
2009 survey there were several terms, namely Big Data Analytics, Advanced Analytics, and
Analytics. Although all three have different names, they still have the same meaning.
Analyzing large amounts of data can help you find changes and determine how companies
should act.
2.4. The Implementation of Big Data Analytics’ Software
Using Big Data Analytics will add value to the companies by discovering hidden patterns that
will not be seen in a limited data set. (Jans, Alles and Vasarhelyi, 2013). In addition, the
application of Big Data Analytics in a company can guarantee that the company will obtain
various data from various sources depending on how the company uses it effectively (Janusz
Wielki, 2013). According to one of the Big Four Public Accounting Firms (EY, 2014), stated
that the use of Big Data Analytics can help to detect fraud that can occur and minimize
company risk. Supporting this statement, (Humpherys et al, 2011) Big Data Analytics is to
predict various frauds that can endanger a company and anticipate future actions presented in
the financial statements.
Big Data Analytics presents several types of applications to facilitate the analytical
process of the amount of data obtained. This is one of the keys to increasing effectiveness at
work. Several companies that have implemented Big Data Analytics use various technologies
to analyze and visualize Big Data (Janusz Wielki, 2013). The types of applications consist of:
Hadoop: An open source software system that is used to help analyze large amounts of
data and produce the information necessary to increase business profits.
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R-Programming: Programming languages are created to help read data presented in
the form of statistics and graphs. This software is included in the type of application
that can help the process of data analysis, because it can help provide information and
explanations to users who do not understand the reading of data in graphical form.
This increases work effectiveness.
IBMM SPSS Modeler: An integrated platform to help predict future events based on
the data obtained. The use of advanced algorithms and analysis techniques are
necessary to anticipate the possibilities that occur and minimize the risk.
Data Mining: An integrated application through the extraction of large amounts of
data that is carried out using various methods can use statistical techniques and
mathematical sciences. Data Mining can help users and readers to find the latest Big
Data information.
Figure 3 Big Data Analytics (Burnett, J. P., 2019)
Although the development of technology can help improve effectiveness and efficiency in
industrial and corporate activities, it is important to look to the community itself. There are
several rumors have revolved around the time when humans will eventually be replaced by
robots that can work tirelessly and faster than human. This can be a challenge considering that
millennial generations which born in the digital world can learn and adapt faster than previous
generations. Coexist does not mean understanding the basis for using this technology.
Becoming accustomed to things instantaneously or quickly will cause obstacles to explore
further. The things that need to be developed by millennials so that they do not miss the fast
response time to renew themselves where they can develop knowledge, knowledge and skills
3. RESEARCH METHODOLOGY
3.1. Data and Qualitative Research
This research is using a qualitative method in which we carried out an investigation obtaining
secondary data based on previous studies in the form of a literature review. In this method,
researchers conduct analytical research on a variety of bibliographic reviews of past research
that will be collected to analyze for each viewpoint related to Big Data Analytics in
accounting and auditing and assess whether the millennial generation is ready for changes that
occur or not.
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3.2. Data Analysis Method
Researchers collect data by looking for previous studies about Big Data Analytics. The
researchers note that big data has existed since the advent of sophisticated technology that
triggered the production of large amounts of data. Big Data itself is broad and can be
connected to various things, especially for the accounting profession and auditors who collect
data to be processed into important information. Therefore, this research is focused on
developing big data in accounting and auditing. In addition, the researchers were curious
about each of the investigative perspectives that had been carried out by previous researchers
who focusing on accounting and auditing. The solution is done differently, but has the same
goal, namely how accountants and auditors can learn various technologies related to the
existence of big data. After learning this, the researcher wants to develop a conceptual
investigation that also focuses on the next generation, the millennial generation. It is hoped
that this document can help prepare young accountants and auditors to deal with disruptive
era.
4. RESEARCH AND DISCUSSION
Millennial Generations’ value
4.1. Millennial Generation can Collaborate with Technology
There are various rumors that when we are entering the Industrial Revolution 4.0 era,
accountants and auditors will be replaced by machines and robots. Many have become
pessimistic about their future with this statement, including the millennial generation who live
in digital era. The difference between the current generation and the previous generation is
that millennial is more adaptable and be able to use technology better. But it should be kept in
mind that although the millennial generation is the generation that was born amidst advanced
technology, it does not mean that they fully understand the use and the effects of advanced
technologies. According to this research, accountants and auditors will not be completely
replaced by technology. Technology is accounting software that helps facilitate millennial
accountants and auditors who can help improve efficiency in analyzing large amounts of data.
Therefore, here lies the role of millennial accountants and auditors to be able to work with
technology.
Japan has already entered the era of Society 5.0, where seeing more opportunities will
create a group of smart people to promote the well-being of society. Based on one of the
journals from Japan entitled Society 5.0: Aiming for a New Human-Centered Society
(Mayumi Fukuyama, 2018), explains that now society lives in a new era where massive
globalization and the evolution of digital technology can replace human activities. The
presence of sophisticated technology in the form of Artificial Intelligence (AI), the Internet of
Things (IoT) can bring big changes on the scale of human life. In Society 5.0, technology that
will become pillars in industrial activities can improve human living standards by increasing
human capacity in using technology.
Indonesia is a country that has many resources and a wide area. The large amount of
human resources it has can be a clear advantage for the country if the government can match
the capabilities of the people of Indonesia. At present, the government is more focused on the
central region, so that there are still many people in eastern Indonesia and the interior that
have not been reached by technologies and have not yet gotten a quality education. If the
community can be well educated in the use of technology in the form of big data analytics,
Artificial Intelligence, the Internet of Things, drones and other advanced technologies, it can
improve people's living standards and create progress to go forward. This can support the
vision of Indonesia 2045 delivered by the Head of Bappenas Bambang Brodjonegoro
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(Bappenas, 2019), one of which supports the first pillar that explains human development and
mastery of science and technology to improve quality and class. people's lives to realize an
advanced Indonesia.
4.2. The Using of Big Data Analytics in Accounting and Audit
When the issues outlined in previous research are further reviewed, preparing the future as a
millennial accountant and auditor by improving the quality of human resources will better
understand the use of technology in the business. Starting from the process of data collection,
analytics, until the production of information to be quality output, in addition to the software
in the form of R-Software, Hadoop and Data Mining, accountants and auditors can learn
another system that can be used to help the process of analyzing large amounts of data that
supports human collaboration with technology, using Artificial Intelligence (Bambang,
Archie, Jonathan, and Fransisca, 2020). The following are the uses of the system
implementation, consist of:
4.2.1. Use of artificial intelligence in data classification to generate useful data
For someone to obtain useful data for the company, is to be competence in the use of
technology. Large amounts of data obtained by companies must be verified first to avoid
fictitious data and reduce threats that can be harmful. This can be done by applying the
detection of data received through the Artificial Intelligence application that is capable of
effectively analyzing various types of data in large quantities. Finding discrepancies and
discrepancies will simplify the work process. Additionally, auditors and accountants can learn
about using AI technology that's been set up so they can work together on the job.
4.2.2. The evaluation and analysis process to become adequate information using
automation.
We must know that accountants and auditors have a limited time to complete their work.
Therefore, an automated analytical process will help ease the auditor's task of analyzing large
amounts of data to improve the effectiveness and time efficiency. By using one of the
branches of artificial intelligence, natural language processing can help computers understand,
interpret and use human language (SAS Analytics Insights) to facilitate millennial generation
in the application of the system to facilitate the procedures of auditing.
4.2.3. Quality information as a basis for consideration in decision making
When analyzing Big Data, 4 types of analytical results are produced that provide a translation
of the analysis results, there are Descriptive Analysis, Diagnostic Analysis, Predictive
Analysis and Prospective Analysis (Mirza Golam Kibria et al, 2017). Descriptive analysis can
be helped by using data visualization to determine the performance of the data received, the
overall size of the data, and its utility to the business. For example, we can use data science to
make Descriptive Analysis. Diagnostic analyzes help find discrepancies in the data obtained
and fraud that can harm the companies. Through the branches of Artificial Intelligence, Deep
Machine Learning can be helped to find fraud and irregularities in the data. Predictive
Analytics is an analytical result that helps companies predict future conditions. Through
forecasting, it can be information for companies to anticipate and minimize the risks that may
occur. Lastly, Prescriptive Analytics is information that the company considers from all the
data that has been processed to determine the company's future performance measures (Mirza
Golam Kibria et al, 2017).
4.3. Companies that Support Employee to Use Technologies
Public accounting firm Big Four, PricewaterhouseCoopers (PwC), presents a new service that
supports technology development, namely the Friday service (Aulina Medina, 2019). This
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service is believed to make people feel comfortable with Blockchain technology, where the
technology is associated with the cryptocurrency can be used to audit financial transactions,
which are the role of auditors in its implementation. Blockchain is a new level in the
analytical process that aims to fulfill 2 main Big Data Analytics requests (Vladimir Fedak,
2018). There are:
Big Data generated by Blockchain will be secure, since it cannot be falsified
considering that it consists of several related networks (blocks)
Blockchain-based Big Data will produce valuable data, which will be structured and
completed to be a perfect source for further analysis.
With the presence of many technologies implemented by the company, you can improve
the quality of employees in order to learn how to use these technologies. The development of
the times pushed millennials to have better skills and abilities than previous generations.
4.4. Hard Skills and Soft Skills
During increasingly sophisticated times with unbridled technology, such as the next
(millennial) generation, we must know the weakness where the role of humans will be
increasingly erased and replaced by robots. The weakness is not only a threat to humans, but
it can be challenging if you are smart enough to find opportunities amidst these threats. The
challenge of continuing to develop and of wanting to learn so as not to lag the progress of the
times. As Nelson Mandela said, "Times change, we need to change as well," it means that
humans will not be inferior to their creations and can better orient themselves through self-
development. Humans will always develop and not defeated by technology. That’s why, there
are 2 main skills and knowledge to be developed, there are Hard Skills and Soft Skills.
Hard skills are the main experience required at work, more precisely knowledges,
technology, and technical skills needed in the field of digitalization. Difficult skills are often
identified with IQ (intelligence quotient). Have a broad vision and adequate and focused
information to carry out their work by understanding basic and applicable rules. This can help
people adopt the professions they take so that they can be done professionally and effectively.
The skills needed to become an accountant and auditor are:
4.4.1. Schools and Universities
School and college are the basics for someone to weave into the world of education. Gaining
broad knowledge and education is a common thing that is accepted by every student.
Especially prospective professional accountants who are still studying, need to change their
mindset to learn how to truly dominate the field so that they can direct life to be more focused
and focused.
4.4.2. Seminar/workshop
By attending seminars or workshops it will help accountants to obtain the latest information.
In addition, you may have other ideas or points of view about the profession you live in.
Seminars and workshops followed by professional speakers can improve the quality of the
accountants.
4.4.3. Training
Training is an important thing that new employees must do to work in accordance with their
profession. Training will help you get new knowledge that you must have. In addition,
gaining new knowledge and knowing company procedures and ethical standards will help
direct work, introduce systematization of work and company goals. Millennials can adapt
their capabilities to the company's operational activities.
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4.4.4. Time Management
Time Management is important for a worker to get maximum results more effectively. With
the ability to schedule and plan more, what needs to be done can increase your success rate on
the job.
Soft skills are the ability to relate to others, such as communication, cooperation
(teamwork) and can do better to regulate emotions themselves. If Hard Skills is more about
knowledge-oriented (IQ), Soft Skills is aimed at the formation of characteristics, social
attractiveness, language skills that have advantages in the field of EQ (emotional quotient)
and sympathy and empathy. Here are some things that are classified as Soft Skills that are
important when becoming an accountant or auditor, namely:
4.4.4.1. Communication
Communication is an important key to fostering relationships with others and superiors and
subordinates. According to (James A. F. Stoner), communication is a process for someone
who tries to provide understanding and information by conveying messages to others.
Therefore, making good communication can help transmit information and understand each
other. As a professional accountant must be able to communicate with other accountants to
facilitate the financial statement process, while the auditor requires good communication in
delivering opinion to the client.
4.4.4.2. Teamwork
Be able to work as a team will help to complete the objectives effectively and efficiently.
Accountants can complete the preparation of the financial statements correctly, auditors can
work together to make audit plan and collect evidence to analyze all the activities that are
being carried out, after that prepare an audit report before the due date.
4.4.4.3. Honesty
Honesty is one thing that a professional accountant and auditor need to prepare when they are
making financial report to make it reliable and trustworthy information. Honesty can
minimize the risk of fraud that can harm various internal and external parties.
4.4.4.4. Good Attitude
Having a good behavior is something that accountants and auditors need to improve on.
Knowledge is not everything without a good attitude. It is necessary to be kind and polite to
maintain relationships with employees and customers.
4.4.4.5. Empathy
Accountants and auditors must have empathy to the conditions of the work environment by
having the ability to understand, caring to each other, solidarity and kindship with the work
environment to create harmonious relationships.
5. CONCLUSION
The presence of innovative technology provides a variety of positive impacts for millennial
accountants and auditors that facilitate them in their work. In addition, technology
development can reduce costs, complete work quickly and effectively, and minimize the risk
of fraud and human error. Technologies such as Big Data present various opportunities for
companies and markets to determine the way forward to achieve their objectives according to
the data obtained. The presence of software and several other sustainable technologies that
help process Big Data, that is, Big Data Analytics, makes it easier for industry and companies
to process it because the presence of advanced technologies such AI, IoT, and many more
(Josh James, 2018) which produce the information that necessary for internal or external use.
Internally, it can be the basis for decision-making, so that the company's performance can be
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- Big Data Analytics: Literature Study on How Big Data Works towards Accountant Millennial
Generation
developed through anticipating the losses and deficiencies obtained by the company. For
external, they can understand the information about the company to find probabilities that can
benefit from market conditions.
Regarding on this situation, each has advantages and disadvantages in both human and
technological terms. The difference is not a threat that harms the millennial generation in their
activities. Collaborating with people with technology can create a smart work environment
and improve time efficiency. By joining many activities, like training, seminars and other
things, you can improve the quality of human resources so that employment stays open.
Accountants and auditors can follow established standards and have different ideas about the
changes in this era. So, while technology can erase the land of employment, with the
generation ready to face these changes, you can find solutions so that you can be a seed
capital in implementing technology that be a good investment for the future.
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