How do you define success for IT?

One of the key goals from IT is to make every employee the most productive in their work. That basically means to reduce downtime from an employee perspective in terms of technology, and then make sure everything in terms of tools and applications is up and running for them to be doing the work. And then the plus is to give them efficient tools so that it actually accelerates the way they are working in their day-to-day jobs. So with sales for example, we typically looked at the end-to-end value chain for a sales role or the sales organizations. And then we looked at each of the elements of the sales process to look at what is it that we could do better? Whenever a sales account executive is trying to make a sale to a customer, they're looking at the pricing, the discounting and everything else. That's usually an incredibly complex and messy process. So we used some AI machine learning tools to give the sales exec a recommended discount level for a given customer and a given bill of materials, and that reduced the time for them to navigate the system and determine the discount level down to a 30 second process. So it makes the whole selling process a lot more efficient. And obviously that accelerates the number of discussions that the sales person can have. So we facilitated their ability to be more productive with the customers. That helps to grow the business because they're spending less time in internal complexities and spending more time with the customers and pushing the solutions that we want them to be able to sell to the customers.

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One of the key goals from IT is to make every employee the most productive in their work. That basically means to reduce downtime from an employee perspective in terms of technology, and then make sure everything in terms of tools and applications is up and running for them to be doing the work. And then the plus is to give them efficient tools so that it actually accelerates the way they are working in their day-to-day jobs. So with sales for example, we typically looked at the end-to-end value chain for a sales role or the sales organizations. And then we looked at each of the elements of the sales process to look at what is it that we could do better? Whenever a sales account executive is trying to make a sale to a customer, they're looking at the pricing, the discounting and everything else. That's usually an incredibly complex and messy process. So we used some AI machine learning tools to give the sales exec a recommended discount level for a given customer and a given bill of materials, and that reduced the time for them to navigate the system and determine the discount level down to a 30 second process. So it makes the whole selling process a lot more efficient. And obviously that accelerates the number of discussions that the sales person can have. So we facilitated their ability to be more productive with the customers. That helps to grow the business because they're spending less time in internal complexities and spending more time with the customers and pushing the solutions that we want them to be able to sell to the customers.
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