Here are some exciting trends that will dictate the future of Big Data in Business in 2022. Read on to know about these exciting developments. https://arsr.tech/the-future-of-big-data-in-business-4-emerging-trends-in-2022/

1. The Future Of Big Data In
Business – 4 Emerging
Trends In 2022
By- ARSR Tech

3. Introduction
• The rate at which information is being collected around
the world is unparalleled. There is a corresponding
demand for skilled analysts who can make sense of the
burgeoning amounts of data.
• IDC predicts that by 2025, the world’s data will amount
to 175 zettabytes. To put it in context, it would take 12.5
billion hard drives the size of the largest hard disc
currently accessible to download all 175ZB.
• More digital expansion is predicted for the future of big
data, and the storage, analysis, and application of data
are crucial to the success of virtually every company.

4. What does the Future of Big Data in
Business Look Like?
• The future of innovation lies in the hands of data
analysts and data scientists who can sift through
massive amounts of data to find useful information.
• A master’s degree in business data analytics, even if
earned online, could give you a leg up when looking for
work in this exciting new industry.
• The banking, retail, manufacturing, financial, healthcare,
and government sectors are just a few of the many
industries investing considerable resources into big data
analytics.
• Data and business analysts work in these sectors
and use cutting-edge data analytics tools for improved
business decision-making, trend forecasting, and
business growth.

5. What does the Future of Big Data in
Business Look Like?
• Jobs in the field of big data have a promising future.
Between 2016 and 2026, the BLS projects a 13
percent increase in employment opportunities
across all computer and information technology
occupations in the United States.
• Numerous careers involving big data are also
available in this field, such as database
administrator, information security analyst, network,
computer systems administrator, and others.
• Here are a few Big Data Analytics trends that will
shape the future of different industries in 2022:

6. 4 Biggest Big Data Trends for 2022
1. Improved Fraud Detection in Financial
Sector
2. Integration of Big Data in Government
Entities
3. Better Healthcare with Big Data
4. Improved Data Analytics across
Multiple Clouds

7. 1. Improved Fraud Detection in
Financial Sector
• Technology improvements in the banking sector over the past
decade have had an impact on consumers’ banking habits.
• Consumers’ relationship with money has been profoundly altered by
technological advancements such as mobile banking and quick
peer-to-peer money transactions via smartphone apps.
• Therefore, financial institutions have begun to implement big data
and analytics solutions.
• According to IDC, financial institutions have contributed 13% of all
global funding for big data solutions.
• The incorporation of big data analytics into the financial sector’s
business model has been made possible by technological
developments. While enhancing the banking customer experience is
an important goal for the future of big data, fraud prevention is
currently the driving force behind the implementation of big data
solutions in the financial industry.

8. 1. Improved Fraud Detection in
Financial Sector
• The U.S. Department of Justice estimates that annual fraud losses
at financial institutions total billions of dollars and that a serious
security breach might cause irreparable harm to the institution’s
brand.
• Information security analyst positions are expected to increase by
28% in the United States, according to the BLS.
• Experts in this field are generally employed to keep an eye out for
fraud and other forms of security breaches.
• Credit card data, loan details, Social Security numbers, tax returns,
and other sensitive information may be compromised if these
systems were not properly protected.
• When large amounts of data are paired with artificial intelligence (AI)
that is capable of machine learning, fraudulent behaviour patterns
can be identified with more ease than ever before.

9. 1. Improved Fraud Detection in
Financial Sector
• Also, with the help of big data, financial institutions
can monitor and analyse customer behaviour,
making it easier to spot instances of fraud.
Quantitative analysts are in high demand in the
banking sector because of their ability to use
cutting-edge analytical methods in the battle against
cybercrime and other forms of computer fraud.
• Quantitative analysts integrate mathematical and
financial knowledge with business acumen and
computer savvy to improve the models used by
financial institutions to manage risk, boost
profitability, and delight clients.

10. 2. Integration of Big Data in
Government Entities
• Public sectors all around the world can benefit from the
insights provided by big data and analytics, which can
be used to enhance areas such as public safety,
healthcare, and citizen services.
• What’s more, the government may use the insights
provided by big data to better meet the demands of its
residents. Government personnel, for instance, can
utilise analytics to monitor health conditions, organise
evacuees, and distribute aid after a hurricane.
• Governments can now analyse data using big data
analytics. That’s great news since it means they can
stimulate the economy by applying their findings to many
industries.

11. 2. Integration of Big Data in
Government Entities
• It may be used to keep an eye on civic infrastructure
to make sure it gets the updates it needs without
costing residents any more than they have to.
Information also aids policymakers in making more
informed decisions.
• Governments can gain the insights necessary to
develop policies that are long-lasting, economically
sound, and comprehensive by collecting data from a
variety of fields, including healthcare, finance,
and education.

12. 3. Better Healthcare with Big Data
• The health business is increasingly dependent on digital
data, which is fueled by the proliferation of EHRs,
medical imaging, pharmaceutical research, and patient
portals. By collecting biometric data from patients,
wearable gadgets like Fitbits can aid in the management
of chronic diseases like diabetes.
• To encourage healthy behaviours, some health plans
offer discounts to members who maintain a regular
exercise routine.
• Value-based care, in which hospitals are compensated
for the results they achieve for their patients, is gaining
ground. Value-based care can only be as good as the
information it collects about its patients and their
experiences.

13. 3. Better Healthcare with Big Data
• One paper in NEJM Catalyst explains how big data, when used
correctly, can enhance clinical diagnosis and scientific inquiry.
• Healthcare data analytics will ultimately succeed or fail based on its
ability to identify and resolve issues. It is not only difficult to obtain a
complete picture of a patient’s health and financial status due to the
widespread nature of medical institutions, government agencies,
and insurance firms, but this information is also subject to strict
regulations.
• In order to minimise the possibility of making mistakes when
analysing the data, analysts must first reformat and “clean” the data.
The IT department must engage with the medical staff and the
administration to earn their trust and then show them how to set up
their IT infrastructure so that it can accommodate big data analytics
and improve the quality of care they provide.

14. 4. Improved Data Analytics across
Multiple Clouds
• Cloud platforms like Amazon Web Services, Snowflake, and
Microsoft Azure are becoming increasingly popular for storing
data, and networks are being set up to disperse data storage
over many clouds. However, data dispersion between on-
premises and several cloud environments might complicate
corporate analytics initiatives.
• In 2022, more organisations will utilise software like Alluxio
Data Orchestration Platform, Qlik Forts, and others to access
data from numerous on-premises and cloud systems in one
place and get insights from that data.
• The traditional data warehouse, in which data is collected and
handled from various sources in a single area, is giving way
to other options, such as gaining a virtual perspective of
scattered data and accessing it using common business
intelligence tools.

15. Conclusion
• The demand for skilled data analysts to dig through
large data and draw conclusions is rising in tandem
with its volume.
• In fields as diverse as healthcare, government, and
finance, big data analytics offers promising new
ways to effect positive change.
• With the help of Big Data Analytics, data analysts
can make a positive difference in people’s lives by
reducing the prevalence of fraud, facilitating the
distribution of aid during a natural catastrophe, and
enhancing the standard of medical treatment
available to the public.

16. Thank You So Much For
Reading