When a client gives our organization a project where they need a dashboard for their company, they provide us with some data from their database, which is usually presented in Google Cloud Bigtable. My organization needs to evaluate and clean the data in Google Cloud Bigtable as per our client's requirements, after which it will be sent to Power BI and converted into load data, following which we give the report to our client.

I make use of Google Cloud Bigtable when there are issues on production that need fast resolutions. I make use of the available tools to analyze the issues and proffer solutions. I also use it to check some of our company's transactions, failures, and other related things.

The solution is being used for enterprise service. 

Our primary use case is for analytics, analyzing the data sets and curing.

We've helped some conglomerates collect all the data scattered across their CRM and other business systems and feed it into Google Cloud's ecosystem. We run analytics on the data to provide insights to the leadership team in the form of dashboards integrated with tools like Tableau, Looker, etc.

We have at least three clients on Bigtable, but more of our customers are on Bigquery. Bigtable is also used for a couple of our clients in the automobile sector.

We are a product team and we implement solutions such as Bigtable for our clients.

The primary use is Data Management as a Service.