The issue is moreso that they exclusively control their brand, and by letting someone else - who doesn't work for them and need not listen to them - control part of that, they are indirectly loosening control of their brand and narrative. They probably do not want the additional headache of buying this product, onboarding it, managing it, etc. The easiest but unfortunate solution here, to limit risk and liability, is to shut it down.
I think that, on the contrary, government contracts will increase. There will be increased privatization of government services. These services cannot cease, but they will cease to be performed by the government. I imagine government contractors like Palantir will actually do quite well. A smaller government is good for business due to privatization, but perhaps more often bad for people subject to those businesses with less government oversight.
Can we nevertheless extract causality from correlation?
I would argue that, theoretically, we cannot. Practically speaking, however, we frequently settle for “very, very convincing correlations” as indicative of causation. A correlation may be persuasively described as causation if three conditions are met:
Completeness: The association itself (R²) is 100%. When we observe X, we always observe Y.
No bias: The association between X and Y is not affected by a third, omitted variable, Z.
I find this nicely captures the difference between "rationality" and "reasonableness". A system can be rational but rest on unreasonable assumptions; a system may not be entirely rational but at least can have reasonable assumptions.
iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services approximately $179 billion in global client assets invested in 1,445 funds, as of January 2024.
This role involves both management and individual contribution. You will be expected to work with various department leads (e.g. sales, marketing, finance, product, operations), understand their pain points and business processes, and ultimately develop data-driven solutions to solve their needs.
The actual outputs of our work can be: clean and well-governed data models, management dashboards, exploratory/statistical data analyses (with attendant recommendations), documentation, machine learning models, or data apps.
On the technical side, you will interface with our data stack of Airbyte, Snowflake, dbt, Prefect, Python, Tableau and SageMaker (among others). On the business side, you will work with our sales, marketing, operations, product and finance teams to drive top-line growth metrics (e.g. sales, usage, conversion).
The base salary range for this role is $150,000 to $190,000 (plus equity options and bonus). Employees in this role will work in the office four days, with the flexibility to work remotely on Friday.
If you have a doubt about the right thing to do insofar as the company is concerned, you should ask the company. The fact that you asked HN first suggests that you already know the answer.
Given you've used it, just how self-service is it? To me this seems like such a large claim that - if it's doable - I'm surprised there are not more competitors in the "vertically integrated data providers" space.