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Data Science Consulting Is A SCAM!

Piyanka Jain

I run a Data Science Consulting company, and I say analytics consulting is a SCAM! link] I can say so because I have been on both sides of the table, having hired analytics consulting companies for big organizations and also providing analytics consulting services to top companies.

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Data Science Consulting Is A SCAM!

Piyanka Jain

I run a Data Science Consulting company, and I say analytics consulting is a SCAM! link] I can say so because I have been on both sides of the table, having hired analytics consulting companies for big organizations and also providing analytics consulting services to top companies.

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Insights: Using product analytics to find metrics that predict retention

Mixpanel

Let me jump right in: With product analytics, customer retention isn’t just something you measure after the fact; it should be something you can learn to predict (and then improve). I get it—data and analytics sound technical and scary, something only “really smart analytical people” should touch.

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Cracking The Data Code – Mike Bugembe on The Product Experience

Mind the Product

Edwards Deming wrote, “In God we trust, all others must bring data.” – but we’re not always taught how best to use data. founder Mike Bugembe joins us on the podcast to chat about working with data scientists, and how best to collect, work with, and make decisions based on data. Tweet at us!

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Making Better Predictions – Margaret Heffernan on The Product Experience

Mind the Product

If 2020 has taught us anything, it’s that predicting the future is hard and in this episode, sponsored by Amplitude, we turn to Margaret Heffernan to learn how to do it better. The post Making Better Predictions – Margaret Heffernan on The Product Experience appeared first on Mind the Product. Using data sensibly.

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Product Management Tips for Data Science Projects

Mironov Consulting

Data science has traditionally been an analysis-only endeavor: using historical statistics, user interaction trends, or AI machine learning to predict the impact of deterministically coded software changes. This is data science (DS) as an offline toolkit to make smarter decisions. And creates a storehouse of resonant insights.

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Why Tools Are Not the Answer

The Product Coalition

It’s no wonder there are many tools that try to resolve this. But tools alone won’t fix anything and can do the opposite. Putting tools in place could make you feel as if you are making progress in the right direction, but if you just add tools you might be treating the symptoms and not the disease. Here’s why.