Business Intelligence

“Starting with AI. 100%. I think it's going to be a I think it's going to be a big deal. I think it offers the opportunity for disrupting BI as we know it today, more of a direct to consumer.”

“Is it's really a governance tool. Like, the charts themselves are important and interesting, but the surface area of the products are enormous and take years to build, because it's all about how do we make sure that the data is going to the right person and it…”

“I think Gen AI has the opportunity to Turbo charge this type of translation where the language is natural language, and the answers come in natural language, but along the way, there's traditional database lookups, traditional retrieval, and has the opportunit…”

“Anybody semi-literate will be able to get, you know, way more value than they ever imagined from the data. And it will change, you know, how products Get used. I mean, BI will not be the same. I think I see that as severely affected by this evolution”

“Every company above a certain size is spending 25,000 dollars a year on BI.”

“You can think of the CDP as BI, but for customer experience, or BI for campaigns.”

“Next year and the year after, the revenue from our business intelligence applications are gonna equal or exceed the, ah, the accounting piece.”

“It is a BI tool basically, but a BI tool built for people who don't like BI.”

“The business intelligence landscape was a total greenfield opportunity in the SMB world.”

“BI generally, as a category, decides that the technical person's job is to specify the system, right? They build out a menu of metrics, and then The actual analysis or dashboard building or whatever is going to happen by people who aren't professional analysts…”

“Well, you can say maybe we should use Hadoop or BI. Unfortunately, these are kind of older generation tools. They require specialized skills and abilities to be able to use them. And so they need armies of analysts to use. These are really only affordable for …”

“The first one is that it has to be immediate. It can't be eventual like BI. You can't just say, oh, I need to answer this question and then get an answer like three months later. It has to be answered in the moment.”

“I don't want to say BI is dead, but it's, you know, it's on its last leg. I think everyone wants to move to more predictions, actionable, prescriptive analytics, and you can't do that when you're just kind of looking at pretty pictures. So I think we're seeing…”

“You can think of business intelligence going forward as the ability to apply machine learning algorithms to big data, and not just look at past questions, but also future questions, or asking to predict the unknowns from the knowns.”

“I think that the market, our space will go through a consolidation, but we're not there yet.”

“We see ourselves staying very close to home. I think when we think about what can be done with the data warehouse We don't have to become, think about ETL or ELT, nor do we have to think about BI and advanced analytics to do really meaningful things to drive o…”

“We're the only sales analytics company or the only analytics and BI company that sort of picked a major and said, we're going to be a subject matter experts in a particular area. Our area is sales.”

“BI is a huge space, thirty billion dollars a year spent on BI from infrastructure all the way to applications.”

“And our view here is that no, in fact, the requirement here is really to bring these two worlds together, and you can't have one Without the other, or maybe slightly more generously, the real value comes when you bring the two together.”