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Mountainise Inc

1,840 followers

9mo

The current state of Customer Data Platforms (CDPs) and their future significance? A question of massive significance in today's tech landscape. Discover what our speakers had to say during the last webinar. Additionally, if you missed the last webinar, we are holding another on 28th March 2024. Register here in one click https://lnkd.in/dZH8KnG8 #webinars #webinar #martech #marketing #artificialintelligence

Transcript

Jimmy, if you don't mind, Will talked about the role of CDP within the stack. You're our data science guru. Could you provide some commentary as to the role of CDP today and do you see it continue to grow in importance when it comes to data, data analysis, data collection, data analysis, data science? Yeah, I just. I really do agree that. The, the measure of essentially the CDP, how it's affecting the company and how companies decide to allocate resources is going to be a continued big contention point. Historically, I think there is a lot, you know essentially when you had the onset of some of these technology giants like Google, you know Google, Facebook that we're just collecting lots of data and then they were they're doing these things that wasn't really being seen before, you know. Other companies kind of followed suit with that, that we just need to keep collecting data and good things will come. And so that that, umm, there's that realization that if you're collecting a lot of data with no purpose, no go with it. You you really are straining the company resources if you're not taking a vision with it. And so that balance of being able to take actionable steps as a data analyst, as a data scientist. You know, in my experience, you know I work as a facilitator as far as taking the data that's already here and saying what can be brought out that it couldn't was already present. And working with the business leaders to define those goals. Work with day analysts to do a deeper level analysis that they might not thought to do before. But then they have specially with that top premium price tag of this position if you don't deliver results that you're affecting the bottom line of the company. You're not going to be around very long and you know there's basically true and tried methods and these experimental ones either you know they don't produce results expect it or they're just finding cheaper easier ways of doing it. Well I should say easier but cheaper ways of doing it they're or they're building it themselves. They're looking for certain custom features that they can't find with the with the the martech on the market. So they say hey we're going to make our own to some degree and then you know try and market that and so that it's a very. Interesting space that we're changing as just an industry as far as how we view the use of our data and what's worth it.

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