Data People of the Future

How to structure impact-driven predictive analytics teams

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Data science and business have a disconnect

In the workplace, the data-driven revolution has reached a hurdle. Forward-thinking organizations know that artificial intelligence will somehow power the next revolution in data. But there is no one-size-fits-all approach when it comes to implementing effective and scalable predictive analytics for business.

In this whitepaper, we cover

  • The data science disconnect from business
  • Why the first wave of AI for business underwhelmed
  • How to structure predictive analytics teams for business impact
  • What to automate on the road to effective, scalable machine learning


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"Prediction is just the logical evolution of big data, but it's simply not scalable to work months on every new model. That's where the Pecan magic comes in, cutting development time from months to days. "

Assaf Shahaf
Head of BI, Appsflyer

We improved forecast accuracy in our seasonal business, and we have a deeper understanding of the variables that may influence a consumer demand signal. By partnering together with Pecan, we are continuing our focus on what consumers want to purchase at the right time and place. ”

Bertrand Klehr
VP Supply Chain, Johnson & Johnson

"Predictive analytics is marching towards automation and I believe Pecan has built a great product for it. The Pecan platform enables business analysts to reduce the complexity of building and deploying predictive models and will help transform the way data science projects are executed."

Eran Abikhzer-Agam
VP Data, Fiverr

"With Pecan, we are able to spin up new predictive models for churn and lifetime value predictions as easily as using a BI tool. Our business analysts are now doing data science with Pecan—it’s amazing."

Evyatar Livny
Director of Product, SciPlay Coorporation

About Pecan

Pecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases. Pecan does not require any data preparation, engineering or prepossessing - it connects directly to raw data, and uses neural networks to automate the entire predictive process.