Did anyone ever think of applying business intelligence techniques for a dosa shop?
if so we are like minded.
One of the easiest things human can do is Imagination.
lets assume a Dosa Corner guy, a friend of mine, has 56 Dosa shops in Bangalore.
he'd like to sustain and withstand in Dosa Business at least in Bangalore. of course he has a vision statement to expand business world wide.
he came to me and asked for a BI solution for his wish.
Here is all started with Dosa intelligence.
I convinced him that, with our tools and capabilities we can help him in improving his business a way better.
since I design the transaction application for my friend, here are very simple database overview of his shop transactional DB.
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if so we are like minded.
One of the easiest things human can do is Imagination.
lets assume a Dosa Corner guy, a friend of mine, has 56 Dosa shops in Bangalore.
he'd like to sustain and withstand in Dosa Business at least in Bangalore. of course he has a vision statement to expand business world wide.
he came to me and asked for a BI solution for his wish.
Here is all started with Dosa intelligence.
I convinced him that, with our tools and capabilities we can help him in improving his business a way better.
since I design the transaction application for my friend, here are very simple database overview of his shop transactional DB.
| Table Fields | Possible Data | Table Fields | Possible Data | |
| Item | Shop | |||
| Item_ID | 1,2,3... | Shop_ID | 1,2,3... | |
| Item_Name | Idly, Dosa, Vada, Chapati..etc | Shop_Location | Madiwala, Indra Nagar, Majestic | |
| Item_Description | Idly, Dosa, Vada, Chapati..etc | Address | ||
| Item_Price | 10, 20, 20, 25 | |||
| Purchase | ||||
| Purchase_ID | 1,2,3... | |||
| Sales | Description | Groceries, Vegetables, Transport Charges... | ||
| Item_ID | 1, 2,3 | |||
| Quantity | 10, 15,1,2 | |||
| Amount | 10,30,3 | User | ||
| User_ID | OO7 | User_ID | OO1, OO7 | |
| Shop_ID | 1,2,3... | PIN | asdf, asdf | |
| TimeStamp | 04/12/15 03:08 | Role | Admin, Cashier | |
| Expenses | ||||
| Expense_ID | 1,2,3... | |||
| Purchase_ID | 1,2,3... | |||
| Amount | 1000,3000,250 | |||
| User_ID | OO7 | |||
| Shop_ID | 1, 2,3 | |||
| TimeStamp | 04/12/15 03:08 | |||
above few tables would definitely give a superficial view of what kind of data we are dealing with these dosa shops on daily basis.
Sum(Amount) from sales - Sum(Amount) from Expenses is his profit.
now, we have to apply all our data warehousing business Intelligence logic to help my friend in improving his business.
I'm going to create a data warehouse and a data mart for this application.
with prediction techniques, we will help him to make proper decisions.
watch this space for more., whenever i get time i will spend writing for it..
cheers.