Gain valuable insights into the impact of predictive analytics on decision-making with Karpagam Academy's informative PPTX, empowering you to make informed choices.

1. DATA SCIENCE AND BIG
DATA: PREDICTIVE
ANALYTICS AND ITS IMPACT
ON DECISION-MAKING
BY KARPAGAM ACADEMY

2. INTRODUCTION
In today's data-driven world, businesses and organizations have
access to an unprecedented amount of information. However, the
true value lies not just in collecting data but in extracting
actionable insights from it. This is where predictive analytics
comes into play. Predictive analytics, a subset of data science,
uses historical data and machine learning algorithms to forecast
future outcomes and trends. Its impact on decision-making is
transformative, making it an indispensable tool for industries
ranging from finance to healthcare. Here we'll explore the concept
of predictive analytics and delve into how it revolutionizes the
decision-making process.

3. THE POWER OF
PREDICTIVE ANALYTICS
Predictive analytics uses statistical models, data mining, and
machine learning to analyze historical data and identify patterns
that can be used to make predictions about future events. It goes
beyond traditional business intelligence, which mainly focuses on
reporting past events. Instead, predictive analytics empowers
organizations to anticipate future scenarios, risks, and opportunities.
Here are some key aspects of its power:

4. Predictive analytics is widely used in risk assessment.
For instance, in the financial industry, it helps detect
fraudulent transactions by analyzing customer
behavior patterns. Insurance companies use it to
calculate the likelihood of claims, enabling more
accurate premium pricing.
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RISK MANAGEMENT

5. Businesses can use predictive analytics to optimize
marketing campaigns. It helps identify potential
customers, forecast sales trends, and personalize
marketing strategies to target the right audience
with the right message.
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SALES AND MARKETING

6. Predictive analytics is transforming healthcare by
predicting disease outbreaks, identifying patients at
risk of readmission, and personalizing treatment
plans. This not only improves patient outcomes but
also reduces healthcare costs.
3
HEALTHCARE

7. SUPPLY CHAIN MANAGEMENT
Predictive analytics is transforming healthcare by
predicting disease outbreaks, identifying patients at
risk of readmission, and personalizing treatment
plans. This not only improves patient outcomes but
also reduces healthcare costs.
4

8. THE IMPACT ON DECISION-
MAKING
Predictive analytics has a profound impact on
decision-making processes within organizations:

9. IMPROVED ACCURACY
Predictive models are designed to make highly
accurate predictions. Decision-makers can rely on
these insights when formulating strategies or making
critical choices.
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10. RESOURCE ALLOCATION
Predictive analytics helps organizations allocate
resources more efficiently. For example, a retailer
can use demand forecasts to manage inventory
levels effectively.
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11. CUSTOMER INSIGHTS
Understanding
businesses.
customer behavior is vital for
Predictive analytics enables
organizations to create a 360-degree view of their
customers, leading to better customer service and
tailored product recommendations.
3

12. PROACTIVE DECISION-MAKING
Rather than reacting to events as they occur,
predictive analytics allows organizations to be
proactive. For instance, in maintenance, it helps
predict equipment failures, reducing downtime.
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13. COST REDUCTION
By anticipating future events, organizations can
reduce costs associated with inefficiencies, risks, and
wasted resources.
5

14. CONCLUSION
Predictive analytics is a game-changer in decision-making.
It empowers organizations to make informed, forward-
looking choices, leading to improved accuracy, resource
optimization, and a competitive edge. As businesses and
industries continue to harness the potential of predictive
analytics, the future of decision-making looks more data-
driven than ever.
In an era of big data, predictive analytics is a key
component of success. Organizations that embrace this
technology can gain a substantial advantage over those
that do not, driving innovation and efficiency in a world
that is constantly evolving.

15. WHOM WE ARE?
Karpagam Academy of Higher Education (KAHE)
established under Section 3 of UGC Act 1956 is approved
by Ministry of Human Resource Development, Government
of India. Dr. R. Vasanthakumar, the president of
Karpagam Charity trust (KCT), philanthropist, industrialist,
entrepreneur and culture promoter.
KAHE is the one of the Top b.tech artificial intelligence
and data science colleges in Coimbatore, Tamilnadu. With
a diverse campus, it opens you up for new opportunities
and helps you meet so many new people. Today, with
strength of 8000 students and over 750 teaching & non-
teaching staff, Karpagam Academy of Higher Education is
setting new benchmarks in the educational sphere.
KARPAGAM ACADEMY OF HIGHER EDUCATION
Website: https://kahedu.edu.in/
Address: Pollachi Main Road, Eachanari Post,
Coimbatore - 641 021, Tamil Nadu, India.
Phone : +91-422 – 2980011 – 14
Email : info@kahedu.edu.in

16. THANK YOU
VERY MUCH!