Web sparkle analytics
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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.
Web sparkle analytics
- 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