Decoding Customer Needs: Navigating the Maze of Information for Better Business Insights
When trying to make decisions based on customer demand, it’s always a good idea to start with sales data.
There are a lot of different types of information that companies use to figure out what customers want.
This could be things like
– orders,
– shipments,
– data from other companies, or
– what people are buying at the store.
But different people in the company need this information for different reasons.
For example, salespeople might use it to report on how well they’re doing. Marketers might use it to figure out which new products to launch.
The problem is that everyone wants the information differently. Some people might want it more often, while others might want more details. Sometimes the information comes in different formats, which can make it hard to use.
To make things even more complicated, the data often needs to be cleaned and organized before it can be used. This can be a messy process and requires a lot of knowledge about the data. With the right tools and knowledge, companies can make sense of all this information. And use it to make better decisions.
It’s important to keep in mind that the best data to use is often the data that comes closest to the customer.
For example: Sales data is a great indicator of what customers want. Because it shows what they’ve chosen to buy.
This is different from other types of data, like
– market research or
– surveys,
which might not always be as accurate.
So, when trying to make decisions based on customer demand, it’s always a good idea to start with sales data.