I’d like to address a couple concerns that were raised, but that have not yet been discussed:
- any citizen scientist can use AYX to do this.
- moat
CITIZEN SCIENTIST AND AYX:
The following concern was raised by 12x and Tinker:
“Yes, Alteryx can exactly recreate this product with a citizen data scientist and a week or two of time. Don’t even need a real data scientist to pull that off. Seriously.”
The short answer is – yes, anyone CAN do so.
The Long answer – why would they?
To do the citizen scientist thing, each company would have to have a department/person dedicated to finding the data, paying for the data, having the expertise to structure disparate data into a usable data set, then the expertise to analyze that data, and to produce an actionable product.
RDVT already has the data. They provide ‘fused’ data sets to a company at the level that company wants/needs, whether it’s a complete analysis, or a data set the customer can parse as needed. See points 1, 2, 3, and 4, below.
ZS, CRWD, OKTA, and other SaaS companies use a similar plan: offer to a customer a product that eliminates an entire department (and the associated costs) for that customer. Offer it at a level that the end-user wants.
Here’s what RDVT says in the Q1 19 Newsletter:
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“Putting it simplistically, we aggregate, assimilate, analyze and link this data, thereby transforming it into intelligence for use by organizations to solve for a variety of challenges, from basic to extremely complex. We call it data fusion. “
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“Our platform was designed to be data and industry agnostic”
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“first understanding our customers’ needs, and then providing the right solution and a level of service that the competition is either unwilling or unable to provide. “
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“We serve not only end-user customers, but we also power the back end of various companies,”
MOAT:
RDVT built the background infrastructure, and, going forward, can offer their product at a low cost, perhaps lower than their competitors. See points 5 and 6 below.
RDVT has existing relationships and contracts for raw data assets. These are FIXED cost. Once RDVT has ‘fused’ the data, it can sell that data set to many different customers, with no increase in RDVT’s costs for the data. See #6 below.
From the Q1 19 Newsletter:
5. “We license the majority of our raw data assets under long-term, flat-fee unlimited use contracts. (We also generate proprietary data sets internally.)”
From the SA article linked by Saul.
6. “The beauty of this business model is in its cost structure. The primary cost of creating the product is the source data, which is bought by RDVT under multi-year contracts with a fixed pricing schedule. This means that once you’ve got your core product built and have a trained sales force in place, every incremental sale made is 100% profit because you’ve already paid for the data but you can sell it an unlimited amount of times. “

ralph