2. You too go by your instinctive decisions?
Over the years, firms have been making intuitive decisions for their
business processes.
That might have a consistent rate of success at some level
But…
3. Facing bad consequences: Last thing you need!
More often than not these decisions doesn’t turn out the way they
expect it to be.
And thus decision makers have to face its consequences
In the present competitive business scenario firms can’t rely on
their ‘gut-feeling’ to make important decisions
4. Data you holding is no scrap!!
Companies have to understand that its high time to dust off those piled up
data and make some sense of it…..
……And use it to make liable decisions
5. Big question
But the main question that boggles the managers is…..
how to use the customer information to derive the useful insights??
6. Analytics to your rescue!
It has a analytical solution i.e.
Use Modak Analytics solution to analyze the data and draw out
insights thereby designing a ‘Predictive model’
7. What will Modak Analytics do?
We help you in figuring out,
•Better ways to hook new customers
•What products needs to be revamped
•Which existing customers should be
worked on
•Rate customers on risk factor
•How to reduce fraud
•If your campaign was a success
•The factors costing your customers
8. What exactly is it?
A Predictive model is a combination of data and mathematical
process, where the learned data is transformed into a guiding model
9. Profitable investment
Predictive analysis is widely used technology in the business arena
today by the companies to make profitable decisions
10. How do we design a Predictive model?
We are glutted with different types of methods to carry out Predictive
modeling process.
Some of them are,
•Clustering
•Decision tree
•Linear and logistics regression
•Scorecard, etc.,
11. Clustering:
•A loose definition of clustering could
be “the process of organizing
objects into groups whose members
are similar in some way”.
•A cluster is therefore a collection of
objects which are “similar” between
them and are “dissimilar” to the
objects belonging to other clusters
12. How will clustering help you?
Helps you in,
Segmenting the market
Ranking your products
Developing new
product/services
Predicting which customer will
respond positively to your
offering
Recommends most appropriate
step to take
13. Decision Tree
•Excellent tools for helping you to
choose between several courses of
action.
• Provides a highly effective
structure within which
you can,
lay out options
investigate the possible outcomes
of choosing those options.
• Helps you to form a balanced
picture of the risks and rewards
associated with each possible course
of action.
14. Linear and Logistic Regression:
•Linear regression produces a
mathematical equation (or "model")
for a "best fit" line to describe the
relation.
•Logistic regression creates a model
to describe the impact of multiple
predictors on a single response
variable.
•Linear and logistic regression
simply differ in the type of outcome
and predictor variables they employ,
and the type of results they produce.
15. Scorecard:
•It articulates the links
between leading inputs
(human and physical),
processes, and lagging
outcomes
•Focuses on the importance of
managing these components to
achieve the organization's
strategic priorities.
•It is a strategic performance
management tool - a semi-
standard structured report.
16. Confused what method to choose?
Predictive models can also benefit from different modeling techniques
at the same time. Modak Analytics provides customized solutions
Then, the output of the ensemble leverages the different set of
strengths inherent to different models and techniques.
17. Predictive Analytics enables advanced and beneficial
decision making
Predictive models are already shaping our experiences wherever we go
and whatever we do. They recommend products and services based on our
habits.
It is one of the methods of keeping your business in pace with competing
world
