All Aboard: Designing a Stack for People, Not Tools
How do you go about planning a data stack? Well, how do you go about planning a vacation?
For both, you have to answer many of the same questions.
- Where are you going?
- How are you getting there?
- How much will it cost?
- How long will it take?
But the most important question of all is: Who’s going?
And when it comes to the analytics journey, the answer should be everyone.
Data is an all-aboard type of trip. It’s not reserved for a few people in the company. Everyone is involved in data in some way, whether they’re establishing the pipelines, cleaning the datasets, building the models, or consuming the insights to make decisions.
And how does the modern data stack enable all these different roles to work with data? In a lot of cases, it doesn’t.
Many organizations are making the mistake of adopting modern analytics tools without considering the range of technical and non-technical employees who will be using those tools. So, the “modern data stack” as we’ve seen it for the past 10+ years often doesn’t cut it for collaboration across roles. To truly take your organization somewhere great, you need to design a data stack that doesn’t leave anyone behind.