Why the data project that should’ve made you rich is failing

If you’re a fan of data, these are exciting times for you. It wouldn’t be an understatement to say that this is the era of big data and its application in analytics, business intelligence, machine lea...

How to map your current data and processes?

Now that your data strategy is written down and supported by the leadership team and stakeholders, it's time for the next step in becoming a data-driven company: mapping your current data and processe...

How to write a data strategy?

When you've decided to do something with your data, the first action you need to do is think everything through and work out a data strategy for the long term. In this blog post, we'll give you some e...

You wouldn’t eat soup with a fork, would you? - Part II

You’re back! This is part 2 of a blog series about polyglot persistence. If that word doesn’t ring a bell, I highly recommend checking out part 1 here to get started. In this blog we’ll dive deeper in...

You wouldn't eat soup with a fork, would you? - Part I

Our DataOps-platform, from project to launch.

We had a historic week, because we finally got to launch our official platform with a completely revamped User Interface, and we couldn't be more proud! Read more about our journey, our platform and w...

How Tengu makes big data integrations & syncs easy

Integrating and updating big data? Uh, yup, you heard me right, a breeze thanks to the TENGU platform.

PREMIERE: The first look into the TENGU platform

With the launch of the TENGU platform getting even closer, it’s time to lift the cloth over our final product. 

We're launching our TENGU platform soon!

These are strange -but exciting- times, because we're working hard towards the release of our TENGU platform! Supporting you with a visual overview of all data with DataOps functionalities.

DataOps solves the data challenges of businesses.

DataOps started from a desire to deal with the data silo's, and enable non-tech savvy's to answer their questions with data. It is a best practice for handling data, making it most useful and valuable...