We can work on Partner Operations and Analysis

Please use the data within this file (https://docs.google.com/spreadsheets/d/1O7-K_TT4ZkpJAj-jagXh7fZHGJBADG2SzKm7TO6o4kc/edit) to inform your answers to the questions below.
Here’s (https://docs.google.com/presentation/d/13b-j0uo8sk08PKWyATytl_IqTV1RbLr82XzVF5hNSk0/edit) a presentation template you are welcome to leverage when creating your slides.
Part 1
Our company would like to better understand who our best partners are. Please analyze the “2022 Closed Opps” data tab within the file, and present in ~1 – 2 slides:

  1. Several interesting cuts of data related to which partners we should focus on.
    How would you use these to make recommendations to the business?
    Part 2
    Our company would like to better understand our partnerships referred pipeline and how to forecast signed deals from partnerships. Please use any learnings driven by
    Part 1 and analyze the “Current Pipeline” data tab within the file. Present in ~3 slides:
  2. From the current pipeline, how much Estimated GNB do you expect to be converted in the rest of Q1’23 to signed deals based on how partner referred deals have converted in the past?
  3. Assume there will be 5 partner managers on the team in Q2’23. Please explain the considerations and methodology you would use if you were tasked with creating balanced territories of partners for each partner manager.

Sample Solution

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regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi>

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