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FAQ

Have questions? We have a few answers that might help you! If you need additional help please email us.

FAQ

Have questions? We have a few answers that might help you! If you need additional help please email us.

An algorithm can't get hit by a bus?

Most companies have employees where everyone says, “What would we do if one of that person got hit by a bus?”

Your historical customer and operations data almost certainly embodies institutional knowledge equivalent to a lot of employees like that. Not accessing that knowledge is a substantial loss that is often completely overlooked.

You can think of a data science project as gaining copies of your most valuable employees for a small fraction of the cost. The major difference is that an algorithm can’t get hit by a bus!

Do we need a fully developed database?

Not necessarily. If you’re interested in deriving insights from historical data, you almost never need to implement a major IT project to benefit significantly from data resources you possess. We can generally work with what you have. After, possibly scraping your sites or file structures and some basic data processing steps, we can deploy advanced machine learning and statistical tools to address your core questions with an economy and speed that will almost certainly surprise you.

Over and over, we see that a successful data science project that is initially bootstrapped on a sub-optimal database or archive provides justification for investing in a database that allows full automation of algorithms.

Will you come in and talk to my engineering team?

We work with engineers all the time to better understand the systems generating and storing clients’ data and to successfully integrate our algorithms with existing systems. However, the vision for data science projects generally doesn’t emanate from engineering groups.

Undoubtedly, the most impactful projects we see start with high level decision makers in organizations with a vision for doing things better and doing them in a new way.

A perfect database could be helpful, but you almost never need to implement a major IT project to benefit significantly from your data resources. Generally with some basic data processing steps and an efficient data cleaning and review process, we can deploy advanced machine learning and statistical tools to address your core questions with economy and speed that will almost certainly surprise you.

Services

  • Forcasting
  • Machine Learning
  • Data Analytics
  • Natural Language Process
  • Study Design
  • Application Prototyping