Sustainable and Predictive Analytics Model
Authors: Gupta Subir 
Published: May 2024

Analytics has become an essential tool in our search for long-lasting and forward-
looking solutions in a world where information is constantly shared, and data is
being made at a rate that has never been seen before. Welcome to the ”Sustain-
able and Predictive Analytics Model,” an in-depth look at how sustainability
and predictive analytics work together. This writing gives people a complete
plan for using data-driven ideas to help society and business. Analysis methods
for the long term and their ability to predict The book starts by looking at the
basic concepts behind sustainable and predictive analytics. This creative work
details why and how these two fields must work together to solve the world’s
most pressing problems. In this study’s second part, we discuss the analyti-
cal ideas and tools we used. The fundamental analytics ideas are looked at in
depth to start with a solid base. In the next part, you’ll learn basic facts to help
you analyse and understand data more effectively. In the third part, the basic
ideas of sustainability are looked at. The main goal of this effort is to bring
about sustainable growth. Through a thorough look at sustainability ideas,
you will learn what you need to know to make sound economic, environmen-
tal, and societal decisions. Part 4 of ”Approaches to Predictive Modelling For
the book to make accurate predictions, it must look closely at historical facts.
This part will overview the different predictive modelling methods and explain
their advantages and disadvantages. Collecting information for a full look at
long-term sustainability For statistics to work well, data must be used. This
chapter gets into the book’s main topic, which is how to collect and prepare
data for a study on sustainability. Building a model that can predict sustain-
ability By using the information and tools in this book, we can start the process
of building predictive sustainability frameworks, which will help us make well-
informed choices about the future. Case studies on how to use statistics that
are good for the environment Using real-world examples and case studies help
show how important sustainable statistics are in many fields. Explores from a
social and moral point of view. In the information age we live in, ethics are
becoming increasingly important. The writers of this book look into the ethical
and social aspects of sustainable and predictive analytics to ensure they align
with responsible practices. We are checking and analysing how accurate and
useful the model is. To ensure predictions are accurate throughout the process,
you must know much about model validation and performance review. In this
part, we’ll talk about how to set up and connect a certain system or piece of technology. The most important thing is that analytics work well with existing
systems. This chapter looks at the different ways release and integration can
be done. Chapter 11: What the future holds for sustainable and predictive
analytics Analytics is a field that is constantly growing and improving. The
book looks into the future by discussing upcoming technological changes for
sustainable and predictive analytics. Final Thoughts and an Immediate Call for
Change A call to action demonstrates the book’s turning point. This article ex-
amines the many effects of sustainable and predictive analytics and encourages
readers to use this changing method for a better future. This academic study
digs deep into the ”Sustainable and Predictive Analytics Model” literature and
looks at the complicated link between data, sustainability, and prediction. The
joint projects described in the book hold hope for future generations because
they show new ways to do things and help make the world more sustainable.