Insights from Philip Fisher. One of the best docs I came across for individual investors.

Phenomenal effort by @SiddharthVoraPL @PLIndiaOnline 👏👏

cc: @dmuthuk @Gautam__Baid @saxena_puru

https://t.co/K19gWk9TFO

Philip Fisher's 15 points, simplified. ⬇️
His Investment strategy and Search strategy. ⬇️

Full scale scuttlebutt is not possible for individual investors (lack of time, resources, contacts), but with efficient search & communication online (tuning out the noise), there are still some ways to do good research.
Good sequence of steps to filter from a wider universe of companies to the few promising ones that meet the criteria. ⬇️
Excellent Checklist for Business, Management and Financial characteristics. ⬇️
When to sell ⬇️
✔️Wrong Facts
✔️Changing Facts
✔️Better Opportunities
Three Don'ts and Key Takeaways. ⬇️
15 Indian Companies cited for each of the 15 Pts.⬇️

(Note that the Value prop, Competitive & Management factors change over the years).

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.