The Quick and Dirty Guide to Building Your Data Platform

The Quick and Dirty Guide to Building Your Data Platform

One of the most frequent questions we get from customers is “how do I build my data platform?”

One of the most frequent questions we get from customers is “how do I build my **[data platform](https://www.montecarlodata.com/announcing-the-2021-data-platform-trends-report/)?**”

For most organizations, building a data platform is no longer a nice-to-have but a need-to-have, with many companies distinguishing themselves from the competition based on their ability to glean actionable insights from their data.

Still, justifying the budget, resources, and timelines required to build a data platform from scratch is easier said than done. Every company is at a different stage in their data journey, making it harder to prioritize what parts of the platform to invest in first. Like any new solution, you need to 1) set expectations around what the product can and can’t deliver and 2) plan for both long-term and short-term ROI.

To make things a little easier, we’ve outlined the 6 must-have layers you need to include in your data platform and the order in which many of the best teams choose to implement them.

Introducing: the 6-layer data platform

Below, we share what the “basic” data platform looks like and list some hot tools in each space (you’re likely using several of them):

  1. Data ingestion
  2. Data Storage and Processing
  3. Data Transformation and Modeling
  4. Business Intelligence (BI) and Analytics
  5. Data Observability
  6. Data Discovery

data-platforms data-quality data-discovery data

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