Row 67874

Row ID: 67874 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 67874 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

What I’ve seen in my industry of our small DS’like vendors is:

* provide some off the shelf “solution” (usually a dashboard) in a locked down portal that requires the client connect and provide unfettered access to their data stores to fill in for like $10k-$20k.

* provide hourly billable support to offer interpretations of said “solution” on a regular clip with like 1-2 free hours monthly. $250-500/hour

* provide billable hours to modify off the shelf “solutions” with regular maintenance and patching free. $250-500/hour

* wrap each of these “solutions” plus the hours as individual packages so clients can’t just pool the free hours to have customization and interpretation done for one of the products they value the most.

* they keep all the data they can access and use it to train models and provide industry insights to other clients that those clients theoretically wouldn’t be able to have without them.

* they rely heavily on outsourcing the actual technical work to LCoL regions. Usually this means clients have very long lead time for customizations and such meaning they are more likely to keep paying for those extra billable hours each quarter for interpretation and simple customizations to present to executives and board. Kinda like MMORPG game devs making you grind xp while paying a subscription thing.

* modeling is very rare and expensive. Nothing they provide is sophisticated.

* “ecosystem” meaning they have a bunch of stuff that’s locked into their portal and only works for their data stores and such. That way, you have a harder time as a client finding competitors and converting to them for the same results.

* proprietary data proxy type stuff like “tech propensity score,” and whatever else. Usually some shady, opaque scoring mechanism that has no real rigor behind it that provides clients with what amounts to very made up information about their customers. Consider your clients don’t have internal expertise so they won’t even notice the distributions and such are synthetic (I’ve found this at my employer and have to have some very sensitive conversations with the executives and other leaders who’s performance and successes are pointing at these things).

* data engineering is basically sftp and uptake to a database to feed your report portal.

FieldValue
text What I’ve seen in my industry of our small DS’like vendors is: * provide some off the shelf “solution” (usually a dashboard) in a locked down portal that requires the client connect and provide unfettered access to their data stores to fill in for like $10k-$20k. * provide hourly billable support to offer interpretations of said “solution” on a regular clip with like 1-2 free hours monthly. $250-500/hour * provide billable hours to modify off the shelf “solutions” with regular maintenance and…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-23
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url_encoded Z0FBQUFBQm5Lak91SHRxWXlGSDkzU3hnZ3IwR2FXQ01WUzhDbWlITWlOUHZXNVE3NHJnU2h5RUtJcG0wZTljdmNxWnB1YWY3QmtHNC1lX3lGSjhmT2l3bWFZZjRTVjExWmhzY1hCdUN2TUtvWFFZZHFPbDFKZmF1QWhGNEJKbHZTb2xMaEJLUEJzNkRXWE9UaGVaZTg0RDBiVzhuYzh0dGYwUzBLazMwS25BN2hSVy1pMUxYV0pqMVpoVHBQUDNid3FkM0h5Y1BDMEV6

Raw Record

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  "text": "What I’ve seen in my industry of our small DS’like vendors is:\n\n* provide some off the shelf “solution” (usually a dashboard) in a locked down portal that requires the client connect and provide unfettered access to their data stores to fill in for like $10k-$20k.\n\n* provide hourly billable support to offer interpretations of said “solution” on a regular clip with like 1-2 free hours monthly. $250-500/hour\n\n* provide billable hours to modify off the shelf “solutions” with regular maintenance and patching free. $250-500/hour\n\n* wrap each of these “solutions” plus the hours as individual packages so clients can’t just pool the free hours to have customization and interpretation done for one of the products they value the most.\n\n* they keep all the data they can access and use it to train models and provide industry insights to other clients that those clients theoretically wouldn’t be able to have without them.\n\n* they rely heavily on outsourcing the actual technical work to LCoL regions. Usually this means clients have very long lead time for customizations and such meaning they are more likely to keep paying for those extra billable hours each quarter for interpretation and simple customizations to present to executives and board. Kinda like MMORPG game devs making you grind xp while paying a subscription thing.\n\n* modeling is very rare and expensive. Nothing they provide is sophisticated. \n\n* “ecosystem” meaning they have a bunch of stuff that’s locked into their portal and only works for their data stores and such. That way, you have a harder time as a client finding competitors and converting to them for the same results. \n\n* proprietary data proxy type stuff like “tech propensity score,” and whatever else. Usually some shady, opaque scoring mechanism that has no real rigor behind it that provides clients with what amounts to very made up information about their customers. Consider your clients don’t have internal expertise so they won’t even notice the distributions and such are synthetic (I’ve found this at my employer and have to have some very sensitive conversations with the executives and other leaders who’s performance and successes are pointing at these things). \n\n* data engineering is basically sftp and uptake to a database to feed your report portal. ",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-23",
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}
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