Row 15635

Row ID: 15635 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 15635 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I've done some work in sales in the past. It's very different from marketing.

The key KPI was production to a goal, sliced different ways depending on what we were looking at.

There's a lot of data science-type work that can be done depending on the sort of sales you're working with. Goal setting requires some data science, and it can be used for deployment too. Propensity to book, scoring leads in some way, identifying priority accounts/leads, and streamlining the sales process are all helpful.

Sales people can be challenging when it comes to data. Some are great, but others don't like the data interfering with their process, or just don't understand it. I'm over-generalizing sales people, but a lot of them went into sales because they liked working with people more than they liked working with "stuff," and they tend to not be super patient about learning, so they can be challenging stakeholders.

They're a lot of fun at conferences though.

FieldValue
text I've done some work in sales in the past. It's very different from marketing. The key KPI was production to a goal, sliced different ways depending on what we were looking at. There's a lot of data science-type work that can be done depending on the sort of sales you're working with. Goal setting requires some data science, and it can be used for deployment too. Propensity to book, scoring leads in some way, identifying priority accounts/leads, and streamlining the sales process are all help…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-20
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Raw Record

{
  "text": "I've done some work in sales in the past. It's very different from marketing. \n\nThe key KPI was production to a goal, sliced different ways depending on what we were looking at. \n\nThere's a lot of data science-type work that can be done depending on the sort of sales you're working with. Goal setting requires some data science, and it can be used for deployment too. Propensity to book, scoring leads in some way, identifying priority accounts/leads, and streamlining the sales process are all helpful. \n\nSales people can be challenging when it comes to data. Some are great, but others don't like the data interfering with their process, or just don't understand it. I'm over-generalizing sales people, but a lot of them went into sales because they liked working with people more than they liked working with \"stuff,\" and they tend to not be super patient about learning, so they can be challenging stakeholders. \n\nThey're a lot of fun at conferences though.",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-20",
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}
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