WebSparkle Analytics provides data analytics and visualization services to help businesses make more informed decisions. Data analysis can help track sales, customers, products, and employees to identify trends and patterns. It allows businesses to drill down from summary data to specific time periods or groups. Data visualization presents data in graphical formats, making large amounts of data more understandable. Analysis of customer, sales, inventory, and other data can optimize processes like forecasting, targeting customers, and managing inventories to increase profits. WebSparkle Analytics helps businesses in a variety of areas through data-driven insights.

1. WebSparkle Analytics
What gets measured, gets managed.
Peter Drucker
A division of Gandhi Consultants Private Limited
1002, Paigah Plaza, Basheerbagh, Hyderabad 500 034
Ph: +91 040 23552803 +919848251541
Email: raksha.jesrani@gmail.com

2. What is Data Analysis all about
• Business Intelligence/Data Analytics is a method
of analyzing historical data to make informed
decisions and predict future results.
• It’s strength lies in the ability to drill down from
summary data – whether it is graphed or not.
• An example would be drilling down on sales
figures, starting with year, then drilling down to a
particular quarter, and then to a month(s) within
that quarter.

4. What is data visualization
• A picture is worth a
thousand words!
• That’s why,
visualization.
• Data visualization is
the presentation of
data, very often,
gigabytes and
terabytes, in a
pictorial or graphical
format.

5. How analysis of data can help you
• Sales - Track sales over period, geography,
products, customers, forecasting
• Customers – Know you customers, their
preferences, what they buy and how much, how
quickly they pay
• Products – Know your fast selling products, how
to track inventories, how much to invest, slow
moving VS fast moving inventories
• Employees – their performance vs salary,

6. Imagine you have a business and have
large number of products

7. And a large number of customers

8. Data analysis will help you in-
Tracking your customer
What they bought
How much
Did they come back again to buy?
If so, how many times

9. Data analysis will help you
Know your customer profile

10. Data analysis will help in
Tracking performance of branches, dealers,
Wholesalers…..
Comparing sales, profits and expenses

11. Data Analysis will help you
identify the preferred price bands

12. Don’t you think it would help if you
knew your customer preferences and
their buying patterns?
Having this knowledge will help you
target your customers better and
address their requirements more
sharply.

13. Would you like it, if you went out-of-stock
when the customer arrived, and she had to go
back without purchasing

14. Know
And not what you want to sell

15. Data Analysis will help you
• Never to go out-of-stock for
in-demand products
• Never buy and stock too
much of which is not in
demand
• And always have control of
inventories

16. Data Analysis will help identify
• Top selling Products
• Top profit-making products
• Loss making products, if any
• Doing this will help you re-arrange your
marketing strategies to focus more on the
profitable options.

17. Data analysis can identify
Product-wise profit margins

18. Customer experience
• You went to a showroom, and no one came to
greet you immediately, or
• If their product knowledge was poor, or
• If the showroom itself was not appealing?
• Would you like to visit such a place once
again?

19. Data Analysis can help
Know what customers’ think of the products and services,
and the buying experience from your company

20. If
• a 5 star hotel
• a hospital
• retail store
• a car showroom
• a service center
• a hospital
• Or any other business
knew what the customers thought of them, they could
do so much to enhance their buying experience.
And thereby increase the profits.

21. Data Analysis can help your business in a wide
range of areas
• Tracking Profits – YoY and QoQ
• Revenue - YoY and QoQ
• Returning customers
• Branch performance tracking
• Revenue to expenses tracking - YoY and QoQ
• Forecasting
• Plant & Machinery – Usage, downtime and
revenue generated

22. It also helps in identifying
• Where do customers come from – sources of
leads
• Suppliers – Best Price, fastest delivery, Credit
period, Best quality
• Stocks – High value -slow moving stocks
• Reorder time and quantity for stock-in-trade

23. Why Analytics
• Analytics helps you answer these questions,
and more.
• It helps you get a bird’s eye-view of your
business, across branches, businesses.
• From the top-view to drill-down to the
smallest detail possible.
• Corrective actions at the right places

24. Why Visualization
Visualization gives you a quicker view into your
business.
If the data is large and complex, Visualization is
imperative, as it makes sense of analytics
It makes understanding data simpler, faster and
smarter.

25. Successful analytics should lead to
higher Return-on-investment and
better decision making

26. Thank you