Sisense

“In-memory is not the future, it's already the past.”

“We demonstrated Strata in Santa Clara last year, 10 terabytes, ok, analyzing 10 seconds on a sub-ten-thousand dollar standard Dell server.”

“Target is using it to analyze data from 1800 stores to identify what they call Shrinkage or shoplifting, ok?”

“EBay is using it to analyze what people are buying and selling online. Trends in pricing, new versus old, Samsung versus iPhone, ok? Billion and a half record set, complex dashboards open in three seconds.”

“When we launched in Strata in New York last year, we demonstrated a terabyte of data analyzed on a 750 dollar laptop with eight gigs of RAM.”

“The customer base tripled in 2013.”

“So the outcome is actually that the more you use the system, the faster it gets. So this is a system that gets faster with more users, not slower.”

“Most in-memory product requires additional five to 10% for additional concurrent user because they keep copies of the data, ok? Slices doesn't do none of that. It stays pretty flat. You could do 3000 users on a single server without adding additional memory, o…”

“And they went to the VC community, and everyone told them they're stupid and refused to invest, so the guy's dad gave him a lot of money. Two million dollars, so you need to have the right parents, I guess.”

“A thousand customers from NASA to Lockheed Martin, to Sandisk, to Motorola, to eBay, to Target, you name it, really nice names.”

“Taking 10 terabytes, 10 terabytes, and in 10 seconds, running all the algorithm analysis on a standard Dell server that cost, you know, a thousand dollars.”

“So Sisense made an acquisition in of Periscope data. It was a big one. So we actually consider it a merger.”

“So from the OEM white labeled side, so being embedded in other products it's about half of the business”

“Our NPS is over 60.”

“What the universal knowledge graph does, the second piece is it takes six hundred and fifty billion data points collected over the past 10 years, again, metadata points, and it's able to provide knowledge out of the box.”

“We do tend to see more of the marketing and the HR functions still have the greater amount of women leaders versus some of the more technical.”

“Coming soon, we will also integrate the rest of the notebook like experience, being able to put Python and R within the experience and instantly get your insights.”

“UiPath is a public one that we do that with. So when you're using UiPath's RPA, all of the monitoring and all of the analytics within is Sisense.”

“The new capabilities that we've added is being able to write back to the cloud data warehouse.”

“So we had a customer, That was able to work with us and within three months because of how they were able to optimize their inventory. They do carts within airports. So this was obviously before COVID. They were seeing a 400% return on investment.”

“We're completely microservices based architecture. Another decision made to stay ahead of the game was a rewrite of the platform. And so now we can fit into any cloud ecosystem in scale as the data and the analytics scale.”