We have a simple ROI model for Database DevOps based on quantifiable costs we see from our enterprise1 customers and from independent 3rd party research.
Implementing database optimization practices helps achieve business growth by protecting revenue from downtime, reducing costs from change failure and time spent on manual tasks, all while protecting sensitive data. Let's look at how...
1 Protected revenue from downtime
The % of downtime caused by the database.2
of
The average cost of downtime from enterprises per year.3
=
The cost of downtime from suboptimal database practices.
2 Reduce costs from change failure
Enterprises implementing effective Database DevOps have a 7 times lower change failure rate.4 $4.05m ÷ 7 = $579k. $4.05m - $579k = $3.5m
$3.5m
Saving from the cost of downtime minus (reduced) change failure rates.
3 Less time spent on manual tasks
The average time saved with Redgate automated deployments.5
$1.88m
Efficiency gains using Redgate for automation.
$3.5m + $1.88m = $5.3m per year
All while protecting sensitive data.
3 Hours6
Average time saved per day by using efficient, automated monitoring.
*Unquantifiable cost not included in ROI model
Speak to a member of our friendly team to see what value your business might achieve.
Disclaimer: These figures are estimates of what Redgate thinks your return on investment could be and are for illustrative purposes only. Redgate cannot guarantee your future results and/or success and is not responsible for your actions. Finally, the use of Redgate's information, product and services should be based on your own due diligence.
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