Making sense of data is not easy

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get more value out of analytics

This is my best advice to any company that struggles with delivering data-driven results: involve analytical function early in the process.

Never ask for specs. Collaborate to on the questions.

Data Science vs Analytics

What is the difference between Data Science and Analytics, and is there any? Watch to find out.

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When Data Goes Against Intuition

Have you had your analysis disregarded when the conclusions did not confirm long held assumptions? Learn how to help businesses balance data answers with intuition when they suggest different directions.

Figuring out which programs work and which don’t is my bread and butter. From market research to propensity modeling, I spent over 15 years analyzing consumer behavior for largest US consumer brands.

There is no point in analyzing data if the results are not used to make better decisions.

From asking the right questions to delivering clear recommendations, communication makes or breaks success of an analytics function.

 

Also known as Data Science, Machine Learning, Big Data, or automation, AI can help companies save money and serve customers better. My expertise is in knowing how and where it can help. The math is the easy part.

Tanya Zyabkina is an Analytics and Data Science executive. She has over 15 years of experience leading analytics for Fortune 500 companies in the retail and telecommunication industries and is a Principal at her consulting company, Probabilistically. 

This site was created by Tanya Zyabkina based on YouTube tutorials on WordPress. 

Images by Unsplash.com, an awesome free photo site. Graphic design using Canva.com, a great cloud design service also available for free.