BI analytics. Boosted.

atoti highlights

  • Analyze millions of rows on your laptop and up to several terabytes in the cloud
  • Create what-if scenarios and compare them side by side
  • Enable multi-dimensional analysis with OLAP cubes
  • Visualize data in interactive widgets without coding from Jupyter notebook
  • Share results with peers and partners
  • Explore data from atoti’s dashboarding web application or Excel
     

What users say:

Great python lib for exploratory data analysis, kinda your own small #Tableau right within #Jupyter notebook. Very serious backend behind, efficient RAM management (in-memory cube).

Julien LaugelChief Data Scientist

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Use cases

A New Paradigm: Identifying and Managing Climate Risk in Loan Portfolios

Central banks have begun requiring the banks they regulate to perform stress tests that account ...
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How to solve the zero-frequency problem in Naive Bayes?

Question: I’m trying to implement a Naive Bayes model following the Bayes’ theorem. The problem ...
Read More

Why put your ML results into a dashboard

Naïve question from a novice While trying to perform a time-series analysis, there are many ...
Read More

Twitter

If you haven’t been taking interns seriously, it’s time to change this perspective. 💪

Read how Malek used atoti to impact the company he worked for as a data analyst intern.
👉https://buff.ly/3ci6j0D

#atotiathlete #python #businessintelligence #OLAP

The Basic Finance with Python video course is now live! Check it out here: https://www.udemy.com/course/basic-finance-with-python/?referralCode=B08859EDB31672C17867 #DataScience #Finance #Python #Coding #Programming #MachineLearning #Udemy

To continue our series explaining how to implement secured and managed access in atoti through the Atoti+ plugin, we introduce :
✅ Basic authentication
✅ Lightweight Directory Access Protocol
✅OpenID Connect

👉https://bit.ly/3IuXUDb

#atotiguide #atotiplus #python #BI

atoti works with

atoti leverages several technologies such as Python, Java, Javascript and uses Conda for distribution.
It works with all major notebooks, with enhanced features for Jupyter and SageMaker.
Run it on your laptop, server or in any cloud environment.