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Causal Effect Analytics

  • Do you deal with experiments, personalization, or target marketing?
  • Do you want to enhance ML algorithms and improve accuracy of predictive analytics?
  • Would you like to handle biases effectively?

If the answer to at least one of the above questions is YES, Causal Effect Analytics will not only be of a great help but, in many cases, the method of choice.

Causal Effect Analytics is a highly rewarding approach for obtaining enhance data insights. It can reveal subtle differences about which things work better and thereby lead to making better choices for what to implement. In some situations, the increases relative to using naive methods for estimation can be substantial.

How do we help

Understanding data of your business
1.

Understanding your data

We meet to discuss beneficial data solution outcomes

data strategy developement
2.

Developing a strategy

We prepare strategies for data selection and data analysis design by bringing in the science of causal inference

3.

Presenting analysis design

We meet again to present the strategies and to discuss implementation

Analysing data with causal effect analysis
4.

Implementing causal effect analysis

We help and assist your data science team with the implementation of the chosen analysis design, or we do it for you.

How do you benefit

Business imporovement with statistics
1.

Enhancing your business

Supporting your business endeavours with beneficial data solution outcomes

stronger working team
2.

Empowering your team

Working with us enables your data team to learn about causal effect evaluations, and improve causal and statistical thinking skills

For more information, please get in touch via info@tarastats.com or by visiting the ‘Get in touch’ area. We look forward to helping you.

Get in touch

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Contacts

Tarastats Statistical Consultancy
Fredrikinkatu 61A, 6th floor
00100 Helsink,  Finland
Business-ID 2727413-2
info@tarastats.com

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