During a recent client conversation, I was presenting how DataMiner brings everything together in one unified platform, from end-to-end service visibility to SLA monitoring and seamless integration across systems. The client then asked me a very direct question: "Is DataMiner a nice-to-have or a must-have?"
As someone who works closely with DataMiner and truly believes in its value, I immediately said, "It’s absolutely a must-have!" — and I followed up with several reasons why.
But it got me thinking… I’d love to hear others' perspectives, too
How would you answer that question? And in what contexts do you think DataMiner shifts from being a nice-to-have to an essential part of the operation?
Looking forward to DataMiner community insights!
Biased Skyliner here but what I've always loved about Dataminer is its open architecture and flexibility. You can...for want of a better expression, bend it to your will.
Let me give you a practical example , a user wanted a flexible way to manually place ad insertions in their video streams using SCTE messages.
They had two things, equipment that could receive the SCTE commands and a 130 page American National Standard Institute (ANSI) standard document for SCTE.
I'm pretty sure when the user purchased Dataminer this type of use-case was far from their mind. Within days we had an MVP application that operators could start playing around with and give feedback.
Now, integrating with the standard while remarkable in itself is not the point here but to your question, Is Dataminer a must-have ?... I don't know.
What I do know is I will always want a platform in my arsenal where the only thing limiting me is my imagination. This is what Dataminer has to offer, a great platform with great people behind it.