Deliverables to be created in this stage
The most important document created during this stage is for the
stakeholders and called as “exit report”. The document contains all of the
available details of the project that are
significant to provide an
understanding of the operations of the system. TDSP supplies a
standardized template for the “exit report”, that can be easily customized to
cater to specific stakeholder needs.
Importance of Data Science
The ability to analyze and closely examine Data trends and patterns using
Machine learning algorithms has resulted in the significant application of
data science in the cybersecurity space. With the use of data science,
companies are not only able to identify the specific network terminal(s) that
initiated the cyber attack but are also in a position to predict potential future
attacks on their systems and take required measures to prevent the attacks
from happening in the first place. Use of “active
intrusion detection
systems” that are capable of monitoring users and devices on any network
of choice and flag any unusual activity, serves as a powerful weapon against
hackers and cyber attackers. While the “predictive intrusion detection
systems” that are capable of using machine
learning algorithms on
historical data to detect potential security threats serves as a powerful shield
against the cyber predators.
Cyber attacks can result in a loss of priceless data and information resulting
in extreme damage to the organization. To secure and protect the data set
sophisticated encryption and complex signatures can be used to prevent
unauthorized access. Data science can help with the development of such
impenetrable protocols and algorithms. By analyzing
the trends and patterns
of previous cyber attacks on companies across different industrial sectors,
Data science can help detect the most frequently targeted data set and even
predict potential future cyber attacks. Companies rely heavily on the data
generated and authorized by their customers but in the light of increasing
cyberattacks, customers are extremely wary of
their personal information
being compromised and are looking to take their businesses to the
companies that are able to assure them of their data security and privacy by
implementing advanced data security tools and technologies. This is where
data science is becoming the saving grace of the companies by helping
them enhance their cybersecurity measures.
Data science has made the use of advanced machine learning algorithms
possible which has a wide variety of applicability across multiple industrial
domains. For example, the development of self-driving cars that are capable
of collecting real-time data using their advanced
cameras and sensors to
create a map of their surroundings and make decisions of the speed of the
vehicle and other driving maneuvers. Companies are always on the prowl to
better understand the need of their customers. This is now achievable by
gathering the data from existing sources like customer's order history,
recently viewed items, gender, age and
demographics and applying
advanced analytical tools and algorithms over this data to gain valuable
insights. With the use of ML algorithms, the system can generate product
recommendations for individual customers with higher accuracy. The smart
consumer is always looking for the most engaging and enhanced user
experience, so the companies can use these analytical tools and algorithms
to gain a competitive edge and grow their business.