Decoding Loan Approval: Predictive Modeling in Action
Simplify Your Analytics Strategy by Narendra Mulani
1.
2. Companies find it difficult to uncover real
business opportunities and achieve their
desired outcomes from Data Analytics.
How can companies Pursue a simpler and
more straightforward path to reveal the
key insights from data that help them make
insight-driven decisions that add value?
The real-time delivery of analytics could
help a company speed up the execution of
analytics projects and improve the overall
service quality of an organisation.
Key Problems
3. Solutions
This can be achieved by accelerating and
liberating data through a data supply
chain that’s built on a hybrid technology
environment.
By combining a data service platform with
emerging big data technologies.
6. Next-Gen Business Intelligence (BI) and
data visualisation.
When the insights are presented to decision-makers in a visually
appealing and useful way, they are enabled to more effectively
pursue and explore data-driven opportunities.
7. Machine learning and
cognitive computing.
With machine learning, data scientists are usually needed to
determine the set of algorithms that can solve business problems
and learn from the data to find patterns, and apply its knowledge
to future situations.
8. Analytics applications.
Advanced analytics applications place insights into the hands of
individual business users, enabling them to make data-driven
business decisions.
10. Managers should make
the data-driven
decisions that place
action behind the data.
By accelerating data,
delegating work to
analytics technologies
and understanding the
outcome-focused path
to insight, it is possible
for a manager to pursue
the business
opportunities in their
data and attain data-
driven benefits.
11. Name : Vikrant Bhardwaj
College : V.I.T Chennai
E-mail : vikrant.bhardwaj2015@vit.ac.in