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Number of ML projects per year

How many Machine Learning use cases do you work on per year?

6 projects

1 projects
25 projects

On average, how many months does it take to build a flat table for a typical ML model?

How many data scientists work on a single use case?

How many data engineers work on a single use cases?

Feature Coverage

On average, how many tables do you use per use case?

5

1
50

On average, how many columns does each table contain?

5

1
50

The average number of features derived or created from a single column

Turn this off if you do NOT have time-series or time-stamped data

Return on Investment (ROI)

ML development costs

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This is a projected velocity increase based on your averages. Actual numbers may vary.

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This estimates how many resources you would save by using dotData. Actual numbers may vary.

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How many additional features you might be able to discover by using Feature Factory.

Projected ROI
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ROI is projected based on typical returns seen by dotData clients. Actual results will vary depending on several factors and may differ from this calculation.