ITECH7407 Real Time Analytics: Big Data Privacy Concerns Report

This report delves into the critical issues surrounding big data privacy. It begins by highlighting the increasing importance of data-driven business processes and the challenges, particularly privacy and security, that accompany them. The report then provides an overview of big data, its applications, and the privacy concerns it raises, including lack of transparency, data reusability, and automated decision-making. Specific privacy challenges within the healthcare and social media industries are examined. Best practices for mitigating these risks, such as managing cloud services, implementing security mechanisms, and data sanitization, are discussed. The report also addresses the challenges of obtaining consent, data removal, and the need for accuracy and reliability in data collection. Finally, the report concludes by emphasizing the benefits of big data analytics while acknowledging the associated privacy issues and the importance of adopting the discussed best practices to ensure responsible data handling.

BIG DATA
PRIVACY
S T U D E N T N A M E

INTRODUCTION
•Many businesses are recognizing the
need to have data-driven business
processes.
•There are a number of challenges
facing big data including data privacy
and security issues.

SUMMARY OF BIG DATA
•Some of the uses of big data include:
–Better management of data
–Companies benefit from capacity, speed, and
scalability of cloud storage
–Consumers can visualize data
–Discoveries of new opportunities of business
–Data analysis capabilities and methods will change:
data has evolved from just database numbers.

BIG DATA PRIVACY CONCERNS
• Big data has led to emergence of privacy issues in
various areas.
• Most of this data is personal information generated
from different sources including sensor devices, social
media, health care, among others.
• The increasing scale of big data processing has
resulted in increased privacy risks that are
unpredictable.

BIG DATA PRIVACY CONCERNS CONT…
• The main privacy challenges that have been discovered
in big data include the following:
–Lack of transparency and control
–Data Reusability
–Data re-identification and inference
–Automated decision making and profiling
–Increased number of data brokers

HEALTHCARE INDUSTRY PRIVACY ISSUES
•Various factors in healthcare offer the
required force to control the power of big
data.
•Currently, technological innovations have
participated in an essential role in
strengthening pre-emptive healthcare.

HEALTHCARE INDUSTRY PRIVACY ISSUES
• However, as the healthcare sector grows, so does
privacy issues.
• The health sector is currently adopting big data to
collect complex and large datasets which causes
significant privacy issues.
• HIPPA act is used to certify most of the healthcare data
centers, but the Act is more focused on security policies
and less focus on privacy.

SOCIAL MEDIA PRIVACY CONCERNS CONT…
•The use of social media has led to an increase in
the amount of data being shared over the internet
giving rise to privacy issues.
•In a few years’ time, it will be very difficult to
maintain privacy and safeguard personal data
because of the increased amount of data

BEST PRACTICES FOR BIG DATA PRIVACY
• One way that can be employed in advocating for data
privacy is becoming highly proficient in managing
and procuring cloud services which are regarded as
key requirements for big data to be cheaper because
many institutions cannot afford to set up the
infrastructure to support big data.

BEST PRACTICES FOR BIG DATA PRIVACY
•Implementing a standard security
mechanism alone cannot address the
issues around privacy because it requires it
required established roles for both the cloud
service users and providers concerning
specific data privacy controls needed.

BEST PRACTICES FOR BIG DATA PRIVACY
•Another best practice is to perform prototyping
of big data in the public cloud then shift to a
private cloud.
–This is because private data can only be
accessed by trusted parties while the public
cloud can be accessed by untrusted parties.

BEST PRACTICES FOR BIG DATA PRIVACY
•Sanitizing data is another way to preserve data
privacy because it helps in avoiding several
privacy issues that have been mention in the
previous section.
–This can be achieved by diagnosing, joining,
matching, conforming, pruning, cleaning, and
applying to filter at the entry points.