Tim Harrison
speaker
197 appearances
2 recordings
1 series
first heard Jun 2022
last heard May 2023
Tim Harrison’s voice in public audio — every appearance, attributed to the second.
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Appearances
And did that vision of always starting uh am I correct in saying it started as an open source project and that sort of other people started using that uh snowplow code base?
Is that how you always envisioned it?
That's really fascinating.
And you said something there that I I want to touch on, which is that point about sort of enabling new questions to be asked, if I've understood that correctly.
Do you have an example of sort of what was sort of the way people were stuck in thinking before when they were maybe trying to do uh customer behavior data insights that sort of was unlocked?
When they actually had this data in their own systems and at their fingertips?
That's a really, a really cool point.
And I think there the distinction sort of one one challenge that we've often seen is that maybe a B2B company knows of these use cases in the B2C context where there's
retailers with millions of customers and they can really build up statistics.
Maybe you can help us understand.
So even for a B2B SaaS company, when you're looking at that maybe initial customer acquisition journey or marketing or or sales journey, is that where this customer behavior data can also play a role with those multiple sessions?
Is that what you mean?
That's really fascinating and and and yeah, it's really great to see understand that potential value still even in the B2B space.
Um having worked with a a lot of sort of different companies, one one thing I've heard a few times is that customer behaviour data is often seen
uh as a topic that CTOs or heads of data think is potentially got a bit of a barrier to entry or is difficult to get started with.
In your opinion, one, I guess, is that true and sort of what is the best way for businesses to get started with using customer behavior data, sort of particularly in the B2B SaaS space?
And maybe are there any sort of must-have requirements that you need to be doing in your data capability beforehand?
I find it really interesting that when we talked about sort of what the must-haves were, it wasn't an answer of, oh yeah, you need a data warehouse and a data lake and these technologies, but really it was, if I've understood correctly, more coming from the the people and the data-driven culture.
I guess you've seen a lot of companies go through that transformation.
Uh what are the sort of the key
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