The tool's ROI depends on the data. If you have too much data, it's worth it. If you have some data and don't need it, you're wasting money.

Initially, we saw a return on investment. Now, the cost is going up according to our use cases. We need to optimize the cost.

The return on investment of moving from an on-premise to a completely cloud-hosted data platform is significantly high and worth the effort.

The corporate expectation is to break-even after the first year of selling BI to our customer base. We'll know this by end of Q2, 2018. On the positive side, the addition of BI has helped close multiple sales, so we're beating the competitors with our BI tools (running on Redshift).

We have seen ROI. It's been useful.

In terms of ROI, I can't directly convert to it. Because we are not using only Redshift. We are using multiple product to increase our revenue and decrease time consumption. So It's difficult to calculate ROI of Redshift usage.

It took less than a year for the product to pay for itself.