Here is list of few Predictive analytics demo applications, Business Intelligence, Dashboards, Data Visualisation techniques created for various purposes
2. Explore the app by clicking the web link
Customer Churn Modelling
http://demo.datatobiz.com:3838/ChurnPrediction/
Instruction Module for demo App provided in given link
Customer Churn Prediction Application
This app has been developed with an aim at predicting customer
propensity to transact and churn from business, Only transactional
data has been used for this application. Probability to live and
number of transactions in selected time interval can be predicted
by this application
DataToBiz.com
3. Explore the app by clicking the web link
Business Revenue Prediction
http://demo.datatobiz.com:3838/SalesPrediction/
Instruction Module for demo App provided in given link
Business Revenue Prediction Application
This app has been developed with an aim at predicting business
revenue with time line trend visualisation having feature
customisation ability e.g revenue prediction units - day, week,
month, Number of units, holidays list entry & few more advanced
features to improve the application’ prediction accuracy.
DataToBiz.com
4. Explore the app with given sample dataset by clicking the web link
Market Basket Analysis
http://demo.datatobiz.com:3838/ProductRecommendation/
Instruction Module for demo App provided in given link
Product Recommendation Application
This app has been developed to analyse basket content of
individual orders for a retail firm. Based on historical data analysis,
many combos can be suggested, items layout can be re-
organised, up-selling, cross selling activities can be performed.
DataToBiz.com
5. Explore the app with given sample dataset by clicking the web link
User Segmentation-Clustering
https://psdhillon.shinyapps.io/kmeansexample/
Application Description
This app has been created to demonstrate the customer
segmentation. The dataset used for this demonstration
is iris flower dataset, which has certain flower features.
Based on these features, segmentation has been
conducted.
DataToBiz.com
13. Bubble plot
Helps to understand basket
rules support by making use
of bubble plots
DataToBiz.com
14. Scatter Plots
Different colours by specific
variable helps in getting to
know data in more details with
the use of basic scatter plot by
adding another dimension
DataToBiz.com
15. Scatter plots
By using colour for
continuous variable, it can
also be used as third
dimension
DataToBiz.com
17. Conjoint Analysis
To know relative importance
of feature to design product/
services based on customer
reviews
DataToBiz.com
18. Variable Correlation
To understand which variable
correlated to other variable &
the general trend of change of
variable w.r.t other variables
DataToBiz.com
19. Variable correlation
heat map
In addition to the graphs, the
correlation matrix helps in
understanding the relation in
terms of mathematical
numbers
DataToBiz.com
20. Text Analytics
Word Cloud:
Business reviews cloud to
know the customer sensitivity
towards any campaign
DataToBiz.com
