Snowflake PR, from the link above: "What makes telecom service providers unique is that they have access to consumer location data. For most other industries, a consumer can go into their phone’s privacy settings and turn off the location access in the smartphone app. But in the world of telecom, as long as the phone is connected to a network, the telecom provider can use triangulation to find the approximate location of a consumer. This is why there is an emerging trend of companies building partnerships with telecoms to power use cases across multiple industries from competitor intelligence, alternate credit scoring, hyper-targeted marketing and more."

That pretty much says it.

It's disappointing that TechCrunch didn't point this out. Nor did the New York Times.[1] Yet it's right there on Snowflake's site.

[1] https://www.nytimes.com/2024/07/12/business/att-data-breach....

- [EDIT: I confused the details of this AT&T breach with the other (2019) one disclosed on 3/2024: 77m AT&T/MVNO customers, 90% of them former customers]. This one is 110m customers, presumably all their current customerbase. But it's still unlikely this is "internal analytics" (for telco business-case) given the timestamps were removed but location data included.

- Yes about Snowflake's cloud telco unit explicitly marketing the fact that telco data contains location. See my updated post: https://news.ycombinator.com/item?id=40949640

Why would the removed timestamps make the data have no value for internal analytics?

It's possible they were operating from a privacy first principle and storing only the exact data they needed for a specific internal objective.

I pointed out previously that the logs contained unobscured phone numbers, so no privacy. You can deanonymize just by reverse-searching the phone number in data broker datasets. They also included the location data for each call/text. Yet no datestamp. That's weird.

As to who would be the end-user for the social graph of 110m users with location data but without dates and times, show us any use-case that's telco-related (not even spam prevention). It's not going to be. You'd want timestamps to disambiguate who are they contacting at work, at home, on their commute, at weekends, etc. So without that it'll be more like alternate credit scoring, surveillance, national-security. And why was Snowflake so eager to promote industries building business models on users' location data? For growth, sure, but who is this mystery industry sector that suddenly sprang up at the same time as GPT-4?

More corroboration from another commenter on TechCrunch: https://techcrunch.com/2024/07/12/att-phone-records-stolen-d...

> [Eric Scott] AT&T was using the data to build a social graph. They didn't record the date and time because they didn't need it.

That isn't "internal analytics". The end-customers who would be buying that aren't telcos. Like I said.

One of the usecases of Snowflake is to give access to a dataset to multiple teams in your company, while filtering what each team can see : https://www.snowflake.com/en/data-cloud/workloads/collaborat...

Service A can access the dataset with the location hidden while Service B can access the dataset with the timestamp hidden while Service C can access the full dataset.

So Snowflake probably has the full dataset, and the account that was used in the breach only had access to a part of it, where the timestamp was hidden.

It's hard to come to any conclusion about what was done with the data on this account.

We can even go as far as saying that the account never used the data but had access to it because it was part of a group of accounts with access to it.

I don't see why any of your reasons preclude analytics.

I said not "internal analytics". Not "internal". The end-customers who would be buying that aren't telcos. Like I said. They are the other (non-telco) emerging industries that Snowflake's blurb hints at.

e.g. a startup doing an Alternate credit scoring model isn't "internal analytics" wrt a telco.