PREDICTIVE ANALYTICS AND ITS IMPACT ON DECISION-MAKING - Karpagam Academy
                     DATA SCIENCE AND BIG 
DATA: PREDICTIVE 
ANALYTICS AND ITS 
IMPACT ON DECISION-
MAKING
BY KARPAGAM 
ACADEMY
INTRODUCTIO
NIn 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.
THE POWER OF 
PREDICTIVE 
PredictAiveN  aAnaLlyYticTs  IuCseSs  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:
1
RISK 
PredicMtive AanNalyAticGs iEs MwideEly NusTed 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.
2
SALES AND 
BusinesseMs cAanR usKe EprTediIcNtiveG 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.
3
HEALTHCA
Predictive  analytRicsE  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
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.
THE IMPACT ON 
DECISION- 
MAKING
Predictive analytics has a
profound impact on decision-
making processes within 
organizations:
1
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.
2
RESOURCE 
APrLedLictOive C aAnaTlytIicOs  Nhelps  organizations  
allocate resources more efficiently. For 
example, a retailer can  use  demand  
forecasts  to  manage  inventory levels 
effectively.
3
CUSTOMER 
UndIeNrstSandIinGg HcusTtoSmerbehavior is vital for 
businesses. Predictive analytics enables
organizations to create a 360-degree view of 
their customers, leading to better customer 
service and tailored product recommendations.
4
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.
5
COST 
By antRicipEatiDng UfutuCreT evIeOnts,N organizations can 
reduce costs associated with inefficiencies, risks, 
and wasted resources.
CONCLUSIO
Predictive Nanalytics 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.
WHOM WE 
KAarpaRgamE   Ac?ademy   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 : [email protected]
THANK 
YOU VERY 
MUCH!