# What is a "data & insights" platform? ### About this export | Field | Value | | --- | --- | | **content_type** | lesson | | **platform** | contentstack-academy | | **source_url** | https://www.contentstack.com/academy/courses/getting-started-with-data-insights/data-insights-course-1--what-are-data-and-insights | | **course_slug** | getting-started-with-data-insights | | **lesson_slug** | data-insights-course-1--what-are-data-and-insights | | **markdown_file_url** | /academy/md/courses/getting-started-with-data-insights/data-insights-course-1--what-are-data-and-insights.md | | **generated_at** | 2026-05-22T14:37:28.612Z | > Part of **[Getting Started with Data and Insights](https://www.contentstack.com/academy/courses/getting-started-with-data-insights)** on Contentstack Academy. **Academy MD v3** — structured for retrieval; no quiz or assessment keys. #### Video details #### At a glance - **Title:** 1-data-insights-cdp-overview - **Duration:** 3m 35s - **Media link:** https://cdn.jwplayer.com/previews/stxmFf5O - **Publish date (unix):** 1752803085 #### Streaming renditions - application/vnd.apple.mpegurl - audio/mp4 · AAC Audio · 113858 kbps - video/mp4 · 180p · 180p · 133751 kbps - video/mp4 · 270p · 270p · 141871 kbps - video/mp4 · 360p · 360p · 150867 kbps - video/mp4 · 406p · 406p · 155778 kbps - video/mp4 · 540p · 540p · 171924 kbps - video/mp4 · 720p · 720p · 195868 kbps - video/mp4 · 1080p · 1080p · 257326 kbps #### Timed text tracks (delivery) - **thumbnails:** `https://cdn.jwplayer.com/strips/stxmFf5O-120.vtt` #### Video transcript Before we jump into all of that, though, it probably makes sense just to talk a little bit about what a CDP is, what Linux is at the core. This brings in some of the architecture that Drew and John and the product team have been pulling together as well to tell that unified story. This is also a thing that we could probably spend an entire session on, but really I think at the core from an explanation standpoint, a CDP is pretty simple to talk about, pretty difficult to execute historically. But all the goal of our CDP is to bring all of your customer interaction data across all of your different channels, so web, email, SMS, your POC system, your CRM system, your whatever, all these different places that this data lives, give our customers a mechanism, a process, an approach, and the tools to bring all of that data together and unify it into a single profile. So taking the information that lives, say, in your warehouse, associating it with the actual individual user events when they visit the website, tie that to your email events that are driving traffic to the website. So you have this 360 degree or holistic view of a person, of a human being user, and then allow you to segment, model, learn from it, and ultimately push that out and execute it in your marketing channels. So I think in the future, this is kind of the vision that we'll see is that Linux becomes the data activation layer. I know one thing, and Drew can speak more to this in the future sessions, but trying to get away of the verbiage of a CDP, because there's current customers that already have a CDP, and they're like, why would we want two CDPs? So it's really more about being that data activation layer. So many of our big customers already have two, quote unquote, CDPs, because somewhere along the line, all of the data tools became CDP-like. So the activation layer allows us to be that connective tissue between all of these raw sources, one of which can be a CDP, and ultimately the content stack platform, the personalized platform, the automation platform, as well as all of the third party channel tools like ads and analytics that content stack native doesn't necessarily integrate with today. So that's kind of like the simplistic picture, and in reality, this is a little bit of a deeper dive into what Linux actually does. So all of the collection is on the left-hand side, so there's streaming or scheduled. We'll talk about all of that as we get into sort of integrations and the different capabilities. Ultimately though, it's all about getting all of those events into Linux, routing them to where they need to be, mapping them to a unified profile, applying a number of enrichments on top of that data for our behavioral scores, our interest scores. Segmentation logic, which we'll touch on, is pretty unique in Linux. It's not necessarily the traditional means of segmentation. And then ultimately, all of that enriched information in this unified profile, we kind of push back out to channel tools. This is the thing that can drive personalizing content through personalize on content stack. It's the thing that can drive surfacing the right ad campaigns to particular users based on the logic. So that's at a high level, a very quick level, kind of what a CDP is. #### Key takeaways - Connect **What is a "data & insights" platform?** back to your stack configuration before moving to the next module. - Capture one concrete artifact (screenshot, Postman call, or code snippet) that proves the step works in your environment. - Re-read the delivery versus management boundary for anything you changed in the entry model. ## Supplement for indexing ### Content summary What is a "data & insights" platform?. What is a "data & insights" platform? in Getting Started with Data and Insights (getting-started-with-data-insights). ### Retrieval tags - What - data - insights - platform - getting-started-with-data-insights - lesson 01 - What is a "data & insights" platform? - getting-started-with-data-insights lesson ### Indexing notes Index this lesson as a primary chunk tagged with lesson_id "01" and topics: [What, data, insights, platform]. Parent course slug: getting-started-with-data-insights. Use asset_references URLs as thumbnail hints in search results when present. Never surface LMS quiz content or assessment answers from this file. ### Asset references | Label | URL | | --- | --- | | Video thumbnail: What is a "data & insights" platform? | `https://cdn.jwplayer.com/v2/media/stxmFf5O/poster.jpg?width=720` | ### External links | Label | URL | | --- | --- | | Contentstack Academy home | `https://www.contentstack.com/academy/` | | Training instance setup | `https://www.contentstack.com/academy/training-instance` | | Academy playground (GitHub) | `https://github.com/contentstack/contentstack-academy-playground` | | Contentstack documentation | `https://www.contentstack.com/docs/` |