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October 16, 2018

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Struggling to hire a data scientist? Perhaps you don't need to!

It's very likely that the company you work for is looking to hire a data scientist. I am sure the search is difficult if not impossible. Demand for this new (and yet surprisingly well-established) role has pushed salaries up beyond many budgets.

September 05, 2018

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A Conversation About Machine Learning

Chris Wintermeyer of Big Squid spoke with Kraken customer evangelist Jennah Crotts of the University of Southern California (USC) about the challenges of predicting student enrollment and attrition and the vital role of machine learning. 

August 27, 2018

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Time in Machine Learning

Phrasing business questions properly for data science may be tricky. Incorporating time into the way questions are posed is a helpful way to get precise about business metrics.

March 27, 2018

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Accelerate your Data Value Journey with Automated Machine Learning

Companies that are serious about getting real value out of their data make substantial investments in analytics. A standard data and analytics solution typically involves three components:

March 21, 2018

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Big Squid at Domopalooza 2018

Last week, Big Squid sponsored, presented, attended, held nearly 100 custom Data Science Labs in the co-hosted Domo Brilliance Bar and officially released our new Machine Learning platform, Kraken, at Domopalooza 2018! Suffice it to say it was

October 23, 2017

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Why do employees leave?

No matter what industry you compete in, what size or how long your organization has been around, losing quality employees is just bad for business. The costs associated with finding, hiring, and training new employees can be substantial. Employee

October 09, 2017

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How Likely are your Customers to Repurchase your Products or Services?

In a nutshell, repurchase propensity is the likelihood that a customer will purchase another product from you sometime in the future. This metric is critical for any business to understand if they have interest in driving consistent revenue. That

February 15, 2017

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Keys to Approaching Predictive Analytics

Success in building a predictive model often hinges on your data.  A central element of the data concerns how it, and the resulting prediction, is framed around the business challenge - the outcome you’re interested in forecasting.  As we apply

February 01, 2017

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Card Building Best Practices

“Don’t Make Me Think”

Those familiar with user experience design in the web application development context, might have heard the phrase “don’t make me think” coined by Steve Krug. This framework calls for usability and simplicity to be at the

January 24, 2017

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4 Things Your Business Intelligence Solution is Missing

In recent years, organizations of all sizes are looking for more effective ways to proactively identify and monitor business trends and adapt accordingly in a timely manner. This is the heart and soul of Business Intelligence or BI.

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