For the last couple of decades, we revelled in the emergence of the World Wide Web and a connected world.

I enjoy creating content. I think it is fair to say that we discovered that given a platform we all are eager to showcase our talents. In the process, we are creating data at a previously undetected and unknown rate.

I enjoyed working in Data Governance, dealing with interoperability issues though, less so.

We realized the problem of a connected world, albeit too late, until it was too big to deal with it on its own.

The new shiny solution to our problems regarding data is a rehash of an industry buzz word - Decentralization. Data Mesh is a term coined for an approach to democratising our data in an enterprise to closely resemble an organization's domain-oriented architecture.

At the core, the idea is similar to a Microservice-based architecture for developing applications.

Decision-making in organizations are increasingly data-driven.

Businesses today want to be more proactive and driven with data to make decisions.

As I have discovered with the new way of writing is to generate enough data on every platform I write and analyze the numbers in context to understand the sweet spot between topics I enjoy writing and the ones that the readers enjoy.

Given enough data with proper context, organizations can find the quintessential sweet spot for their strategies.

Democratizing the data we create for a better analytical view.

The responsibility of making sense of the data is moved from one big central entity to more distributed smaller entities.

This sociotechnical approach allows organizations to build a scalable data platform which is interoperable, domain-agnostic and provides a universal self-describing view.

The way forward to manage the huge chunks of data might as well be to treat it as a product.