We need a Data Platform!
Hugo Hjertén
How to build a Data Platform and how to succeed? In this session you will hear Hugo’s take after having setup multiple Data Platforms at different companies:
- Identify a “shortest path to value” to quickly prove value
- Do proper data modelling
- The key open-source tools (dlt, dbt, dagster)
- Elevate data champions to promote a data-driven mindset
When asking the simple question “Who are our three biggest customers” you can look in one of the five production databases hosted in two different cloud providers. Or you can dig into the CRM system and combine it with your third-party product analytics tool. Or you can search in the ERP system to aggregate financial transactions. And you’re wondering why you end up with different answers depending on who you ask?
And even if you do get an answer that you’re content with, what is the impact?
Your organisation has decided to take the next step in becoming data-driven. “We need a Data Platform!” to solve the problems of siloed data and multiple versions of truth.
Time and budget is limited for this initiative; where to start and how to quickly prove value? You survey the data landscape and find hundreds of data tools. This is overwhelming, even for someone steeped in the data field. And furthermore, how to ensure adoption of this platform to achieve one source of truth?
