Big Data and Analytics
                     BIG DATA AND ANALYTICS
WHAT IS BIG 
DATA 
ANALYTICS?
Big data analytics is the often complex 
process of examining big data to 
uncover information such as hidden 
patterns, correlations, market trends and 
customer preferences that can help 
organizations make informed business 
decisions.
Source: www.techtarget.com
WHY IS BIG 
DATA 
ANALYTICS 
IMPORTANT?
Organizations can use big data analytics 
systems and software to make data-
driven decisions that can improve 
business-related outcomes. 
The benefits may include more effective 
marketing, new revenue opportunities, 
customer personalization and improved 
operational efficiency. 
Source: www.techtarget.com
HOW DOES BIG 
DATA 
ANALYTICS 
WORK?
Data analysts, data scientists, predictive 
modelers, statisticians and other 
analytics professionals collect, process, 
clean and analyze growing volumes of 
structured transaction data as well as 
other forms of data not used by 
conventional BI and analytics programs.
Source: www.techtarget.com
RISK 
MANAGEMENT 
Use Case: Banco de Oro, a Phillippine 
banking company, uses Big Data 
analytics to identify fraudulent activities 
and discrepancies. The organization 
leverages it to narrow down a list of 
suspects or root causes of problems. 
Source: www.simplilearn.com
PRODUCT 
DEVELOPMENT 
AND 
INNOVATIONS
Use Case: Rolls-Royce, one of the largest 
manufacturers of jet engines for airlines 
and armed forces across the globe, uses 
Big Data analytics to analyze how 
efficient the engine designs are and if 
there is any need for improvements. 
Source: www.simplilearn.com
QUICKER AND 
BETTER 
DECISION 
MAKING 
WITHIN 
OUse RCaGse: AStNarbuIcZks AuseTs IBOig NData 
aSnalytics to make strategic decisions. 
For example, the company leverages it 
to decide if a particular location would 
be suitable for a new outlet or not. They 
will analyze several different factors, 
such as population, demographics, 
accessibility of the location, and more.
Source: www.simplilearn.com
IMPROVE 
CUSTOMER 
EXPERIENCE
Use Case: Delta Air Lines uses Big Data 
analysis to improve customer 
experiences. 
They monitor tweets to find out their 
customers’ experience regarding their 
journeys, delays, and so on. The airline 
identifies negative tweets and does 
what’s necessary to remedy the 
situation. 
By publicly addressing these issues and 
offering solutions, it helps the airline 
build good customer relations.
Source: www.simplilearn.com
TYPES OF BIG DATA 
ANALYTICS
DESCRIPTIVE 
ANALYTICS
This summarizes past data into a form 
that people can easily read. This helps in 
creating reports, like a company’s 
revenue, profit, sales, and so on. Also, it 
helps in the tabulation of social media 
metrics.
Use Case: The Dow Chemical Company 
analyzed its past data to increase facility 
utilization across its office and lab space. 
Using descriptive analytics, Dow was 
able to identify underutilized space. 
Source: www.simplilearn.com
DIAGNOSTIC 
ANALYTICS
This is done to understand what caused 
a problem in the first place. Techniques 
like drill-down, data mining, and data 
recovery are all examples. Organizations 
use diagnostic analytics because they 
provide an in-depth insight into a 
particular problem.
Source: www.simplilearn.com
PREDICTIVE 
ANALYTICS
This type of analytics looks into the 
historical and present data to make 
predictions of the future. 
Predictive analytics uses data mining, AI, 
and machine learning to analyze current 
data and make predictions about the 
future. It works on predicting customer 
trends, market trends, and so on.
Source: www.simplilearn.com
PRESCRIPTIVE 
ANALYTICS
This type of analytics prescribes the 
solution to a particular problem. 
Perspective analytics works with both 
descriptive and predictive analytics. 
Most of the time, it relies on AI and 
machine learning.
Source: www.simplilearn.com