Data Teams

5 challenges Data Teams face supporting PLG revenue teams and how to address them

Let’s not mince words. Product led growth (PLG) isn’t something that happens overnight. It has to infuse company culture and involves commitment from every team - not just the go-to-market teams on the front lines.

Diana Hsieh12 min read

Things I Wish I Knew When I Was Building a Data Team

Building a data practice is not only about making technological choices; and you will likely have to start with a first iteration and expect it to evolve as your business grows.

salma bakouk11 min read

Data Product Manager: The role and best practices for beginners

In our experience at Secoda working with many data teams, we've seen most data teams do not have the tools they need to succeed. For growing organizations, the data function is usually an afterthought. The first data hire is brought on before raising a Series A and is expected to manage the workload that comes afterward with little to no support.

Etai5 min read

What is Data Onboarding? And 3 Ways It's Overwhelming Your Teams

Without a clear and quick process your dev, sales, and customer success teams can become overwhelmed by the amount of work required to delight new customers and ingest clean validated data.

JD Prater5 min read

Building a Modern Data Team: From Analytics to AI

One reality that many companies face when adopting cloud technology: designing data infrastructure for business in a cloud computing environment is just different. Legacy stacks can indeed suffice for many companies. But as business requirements grow and use cases increase, both in number and complexity, the models and assumptions that worked well enough in the data center become problematic.

Jordan Volz19 min read

The Rise of DataOps

Data is getting even bigger, and traditional data management just doesn’t work. DataOps is on the rise, promising to tame today’s chaos and context challenges.

prukalpa ⚡ 16 min read

Storytellers and System Builders

If you have spent any time in the data space in the last 10 years, you'll know that data job titles have gotten hilariously complicated and confusing. There are Data Analysts, Data Scientists, Analytics Engineers, Data Engineers, Business Analysts, Business Intelligence Analysts, Product Analysts, Product Data Scientists, Data Product Managers (?), ML Engineers, Data Enthusiasts, People Who Just Really Love Counting, and dozens of other titles floating around.

morgan krey7 min read