udu Data Insights Blog

Chasms and Consulting

[fa icon='calendar'] May 17, 2018 5:51:52 PM / by Frank Boosman posted in Miscellaneous

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Where does “we stand behind our product to ensure it works for you” end and “we’re a consulting firm” begin?

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The line can be fuzzy at times…

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Breadcrumbs vs Footprints

[fa icon='calendar'] Apr 20, 2018 4:58:21 PM / by Frank Boosman posted in Open Web, Deep Web, Core Technology, Lead Generation

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Recently, I was preparing to present our platform’s capabilities to a prospective customer and realized I needed a new metaphor to explain something specific about what we do.

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In preparing for the meeting, I knew that the customer was going to be primarily interested in our platform’s abilities to discover and enrich specific private individuals...

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When Is Lead Generation Not Lead Generation?

[fa icon='calendar'] Apr 20, 2018 4:54:49 PM / by Frank Boosman posted in Open Web, Case Studies, Web Harvesting, Lead Generation

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We're about to roll out some exciting things around lead generation. In getting ready for the launch, we realized that in many cases, the kind of lead generation we do doesn't really look like traditional lead generation at all.

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Generally speaking, the way lead generation works today follows one of two general models...

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The Sorry State of Leads

[fa icon='calendar'] Feb 24, 2018 12:00:00 PM / by Frank Boosman posted in Web Scraping, Web Harvesting, Marketing, Lead Generation

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In Part 1, Part 2, and Part 3 of our series on our first foray into lead generation and enrichment, I described how we were surprised by our initial success, why we shouldn't have been, and what we found when we ran our own internal shootout to see how well our platform performed.

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As we've gone through this process over the last couple of months, we've come to one inescapable conclusion: leads—and lead generation in general—are in a sorry state. Why do we say that?

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Case Study: Lead Generation (Part 3)

[fa icon='calendar'] Feb 23, 2018 1:43:20 PM / by Frank Boosman posted in Case Studies, Web Scraping, Web Harvesting, Marketing

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In Part 1 of this case study, I described how we used our software to validate leads for the first time and ended up winning a customer's internal shootout. In Part 2, I talked about why we—perhaps—shouldn't have been as surprised as we were.

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At the end of Part 2, I promised to write again, this time about what we learned when we ran our own internal shootout. So how did we go about that, and what did we learn?

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Case Study: Lead Generation (Part 2)

[fa icon='calendar'] Feb 3, 2018 9:00:00 AM / by Frank Boosman posted in Case Studies, Web Scraping, Web Harvesting, Marketing

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In Part 1 of this entry, I described our recent win in a shootout a customer held to determine the best tool for validating and enriching their very large direct marketing dataset.

Printed pages of lists

At the close of the entry, I said that we were surprised by our victory, but perhaps, in retrospect, we shouldn't have been. Why?

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Case Study: Lead Generation (Part 1)

[fa icon='calendar'] Feb 2, 2018 11:42:27 AM / by Frank Boosman posted in Case Studies, Web Scraping, Web Harvesting, Marketing

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Over the last few months, we've quietly been moving into a new application for our technology, but you're about to hear a lot more about it from us—starting now.

Image of a handwritten list

It started when we met with a firm that sells services to a specific, well-defined vertical market. For competitive reasons, we can't yet describe the market, but it's well in excess of a million people...

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Skating to Where the Puck Is Going (Part 2)

[fa icon='calendar'] Jan 14, 2018 12:03:42 PM / by Frank Boosman posted in Data Science, Predictive Analytics

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Many years ago, Wayne Gretzky's father famously said, "Go to where the puck is going, not where it has been."† Of course, this assumes one knows where the puck is going, which is much easier in hockey than in the messy outside world. The physics of hockey puck trajectories is far simpler than the infinite complexities of business processes or day-to-day life generally.

An ice hockey game at Madison Square Garden

So how can we use data analytics to know where the puck is going?

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The Boosman-Crocker Principle

[fa icon='calendar'] Dec 24, 2017 11:59:59 AM / by Frank Boosman posted in Miscellaneous

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My co-founder Rett Crocker and I refer back to this principle from time to time, and it feels like we’re overdue documenting it publicly.

Vilfredo Pareto

What is the Boosman-Crocker principle?

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"Whatever Machines Haven't Done Yet"

[fa icon='calendar'] Dec 17, 2017 10:39:14 AM / by Frank Boosman posted in Core Technology, Miscellaneous

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Larry Tesler, former chief scientist at Apple and the primary inventor of modeless editing and cut, copy, paste, is the creator of Tesler's theorem, or "Intelligence is whatever machines haven't done yet".

Alicia Vikander in the film Ex Machina

This is also known as the AI effect, which Wikipedia defines as occurring "when onlookers discount the behavior of an artificial intelligence program by arguing that it is not real intelligence". With this in mind, are we building AI?

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