Challenges of Big Data & How to Overcome Them

1

Top Challenges of Big Data How to Overcome
Them 
2
What is Big Data? 
Big data is an umbrella term for a large volume
of digital information that is structured and
often unstructured. Big data is collected from
various sources such as social media, sensors,
and mobile devices.  Big data analytics help in
identifying patterns and trends that can be used
to solve complex problems in business, finance,
health care, and other fields.  Big data
analytics have the potential to transform how
organizations operate by providing them with
insights into their customers needs and
behaviors. 
3
How Big Data Is Changing Business
The power of big data analytics is that it can be
used to analyse information from any area of
business to better understand the data. This
includes understanding customer behaviour,
predicting marketing trends, developing
strategies for pricing, and more. Big data
analytics has helped uncover insights about human
behaviour in a variety of industries and has been
used to create new ways of looking at existing
decisions.  In the business world, this has led
to improved forecasting and decision-making. Data
analytics has also been used in sports to find
ways to improve player performance and team
success. 
4
How Big Data Is Transforming Marketing Forever 
Big data is transforming marketing forever. It is
a valuable tool that can help marketers predict
what customers want, how they will behave, and
how to get the best out of them.  It is not just
a marketing tool, but it has also become an
integral part of the customer journey. The way
that brands and businesses interact with their
customers has changed forever because of big data
and artificial intelligence. If you want to see
how big data and artificial intelligence have
changed the customer journey, just check out the
four quadrants of the customer journey. 
5
(No Transcript)
6
How to Leverage BIG DATA for Better Business
Results 
Big data is the fuel of the digital economy. It
is the key to unlocking insights and delivering a
competitive edge. The volume of data in every
organization continues to grow at an exponential
rate, which creates a need for better ways to
capture, store, process, and analyze data.     Big
data analytics is one way that organizations can
leverage their big data assets to gain insight
into their customers needs and behaviors. Big
data analytics are enabling organizations to gain
insight into their customers needs
and behaviours with higher accuracy than ever
before. With big data, organizations can use data
from many sources and techniques to increase the
accuracy of their insights, including machine
learning algorithms that analyse a vast amount of
information using predictive models. 
7
Top 10 Challenges of Big Data 
Big data is a term used to describe the huge
amounts of digital data that are generated every
day. It can be used in many ways, but it is a
challenge to store, manage and analyze all this
data.  The top 10 challenges related to big data
are  1) Data management  2) Data quality  3)
Data storage  4) Data security   5) Data
architecture 
8
6) Data migration ? 7) Privacy and security
issues  ? 8) Analytics and reporting tools ? 9)
Big data analysis tools ? 10) Big data software
solutions ? How to Overcome Big Data
Challenges?  Big data is an umbrella term for a
large volume of digital information that is
structured and often unstructured. Big data is
collected from various sources such as social
media, sensors, and mobile devices. Big data
analytics help in identifying patterns and trends
that can be used to solve complex problems in
business, finance, health care, and other
fields. Big data analytics have the potential to
transform how organizations operate by providing
them with insights into their customers needs
and behaviours. 
9
Big Data challenges are not just about managing
data efficiently, but also about understanding
the data. This is where AI (Artificial
Intelligence) can help.  AI can be used to
process large sets of data quickly and
efficiently. It can also be used to provide
insights into that data that humans could not
have thought of on their own.  The following are
some of how AI can help overcome Big Data
challenges  - Data analysis  - Predictive
analytics  - Natural language processing (NLP)  -
Machine learning- Predictive modelling  -
Diagnosing diseases 
10
(No Transcript)