Connie is an expert in SaaS product management and product marketing. In common with many members of the conDati team, Connie spent years at SOASTA working with Ken on some of the most interesting challenges in collecting, storing, and analyzing extremely large data sets. Connie brings that expertise to building out conDati’s portfolio of intelligent marketing analytics solutions.
I was recently invited to speak and present at the New York Marketing Association(NYMA) about how AI-driven analytics can help marketers improve their campaigns (and revenue), showcasing real possibilities and relevant use cases to the nearly hundred attendees. In other words, I explained in real terms how AI can work for them, now — without being a data scientist or “mathmagician”.
Remember The Magnificent Seven? The characters, the actors, the storyline? The classic 1960 western starred some of the most popular actors of the day. And as with every reboot, in 2016 a younger and hipper cast with a whole new look pulled in a new audience with the same story, updated for modern times.
conDati Comes Out of Stealth. Last week we parted the curtains on what we’ve been working on at a company-reveal event in Menlo Park. We thank the friends, partners, and investors who joined us for the first public demo of our flagship product, conDati Analytics, and the unveiling of our new website. And thanks also to our lighthouse customers for their enthusiastic participation: Discount Dance Supply, Pepperdine University, Brivo, Collexion, Mindtouch, Snowflake (also our database partner!),
Hoping to Leapfrog the Competition by Connecting Siloed Data and Implementing Machine Learning and Predictive Analytics
The typical large enterprise uses 90 or more marketing and analytics tools, while SMBs and Mid-Market companies employ between 10 and 25 martech tools to manage marketing operations and drive revenue. That’s a lot of systems for any company to manage. The results are dreaded data silos, which at best provide partial insights, and in the worst case overlook critical business
In 2011, the inaugural MarTech Stack Landscape identified about 150 companies servicing marketers. Even then, one would have expected all those vendors to consolidate as the industry grew and matured. Instead, the martech landscape has fractured into 50 or more categories, populated by more than 5,000 vendors, fully half of which are brand-new venture-backed start-ups. Every marketer now needs to evaluate hundreds of tools, representing every new approach to customer acquisition, to find those
Perusing my LinkedIn feed today, I noticed that articles about colleges now offering “Data Science” as a major and discipline are popping up. As a founder of conDati, Inc, a company that specializes in Data Science, Big Data, and Marketing Analytics, it’s wonderful for me to see that popular universities are helping the industry develop this new breed of talent, considering the skill gap that exists within Big Data and Data Science.