What is Data as a Service (DaaS) and why it matters
A clear definition of Data as a Service (DaaS): what it includes, how it differs from building your own infrastructure and why more companies adopt it.
Read articleWhat data self-service is, how it lets business teams access data without technical intermediaries, and what conditions make it safe.

In many companies, every data question goes through a saturated technical team, and the answer arrives days later, when it is no longer useful. Data self-service breaks that bottleneck by giving the business autonomy — but only works if done with order.
Data self-service is the ability of business teams to find, access and analyse the data they need by themselves, without depending on a technical intermediary for each query.
Self-service gives the business autonomy to access data, on a governed foundation.
Self-service without governance becomes chaos: everyone calculates their own way and nobody knows which figure is right. It needs three things: a catalogue to find and understand data, reliable governed data as a single source of truth, and access control so everyone sees what corresponds to them.
The balance is key: freedom to explore without losing control over consistency and security. A managed data layer provides that foundation — catalogue, quality, governance — on which self-service is safe, not a risk.
No. It frees IT from repetitive requests, but requires IT (or a provider) to maintain the foundation: catalogue, quality and governance.
It does without governance. With a catalogue, reliable data as a single source of truth and access control, self-service is safe.
A reliable, governed data layer, a catalogue to discover data and role-based access control.
Tell us what you want to achieve. Data Layer connects, processes and delivers the result up and running, with no infrastructure for you to manage.