Marketing professionals today are inundated from all sides with hype about the future of big data, AI, and machine learning.
Whether the takeaway is better reporting, concern for job security, or mathemagical seeming insights, everything boils down to big data and the mysterious “black box” of AI and machine learning.
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We have already talked about the complicated process most ecommerce companies go through when tracking their marketing data.
There’s the time spent extracting data from various sources, copy-pasting it into spreadsheets and, of course, trying to make sense of it all. It’s a very expensive, very complicated nightmare that most companies have to go through at least once a month. We can all agree that automated reporting saves you time - but how exactly does it lead to better performance?
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On June 1st 2017, Marielena Gardner, Dan Bartow, Connie Quach, and Ken Gardner founded conDati on the promising idea of using data-science to create completely new analytics capabilities for Marketing.
On May 31 st 2018, the evening before our first birthday, conDati’s team of nearly 30 employees gathered with our investors, partners and customers to celebrate the first commercial release of conDati Marketing Analytics.
CEO and co-founder Ken Gardner welcomed everyone with a look at how far
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Have you ever scrambled to put together a last-minute marketing report, only to realize you are missing a crucial piece of data?
You are not alone.
Many marketing departments go through the same process every month: manually extracting marketing data from multiple sources, entering it into a spreadsheet, then spending hours fiddling with the data to create a report they can actually use to improve their sales strategy.
For most ecommerce companies, that’s a lot of data to go through - and a lot
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