Data and analytics: what operators said this week

“Celtic knot, as I like to describe it, with data enrichment, discovery, and checkout... define success metrics within those three strands, conversion rate, optimization... skyrocket”

“Running my calls through the sales call analyzer, which has been great because it gives me insights into the buyer. It gives me insights into my skill set. It also kind of preps the next call.”

“One of my most favorite things for client service is just using Otter transcripts, which we may migrate to zoom, getting so many insights around what clients are asking for sentiment of clients.”

“Everyone on my team is really like a utility player where they can look at analytics or they can launch a canvas”

“The likelihood of getting measurable impact is five times less for the employee that has a lot of AI tools, but very weak strategic guidance”

“Number one is what does success look like…Number two: who owns it…Number three: how do you measure it?”

“We do have data in the construction industry. 95% of that data is not utilized”

“They aren't as hung up on defining success as how much checkout they have in their commerce system... define success metrics within those three strands”

“One of the findings of the study that I did for two years around farm data was the need for some type of farmer-owned data cooperative where the farmers controlled the data first and then controlled who had access to it and had the ability to monetize it.”

“Mature orgs report may be strong, positive ROI on AI at 2% higher than the ones that are not mature in data.”

“You need to go into settings in chat GPT and there's a little section called data controls. And then you need to turn off the beautifully named improve the models for everyone.”

“We create this platform that we call the Data Hive… you connect that information to the beam model… you can just start to search in a much more advanced manner”