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

Sales commission – Breaking down the variable cost

Benefits of using a multi-dimensional cube to track your sales payouts When we look at ...
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Prediction of Wildfire Using Machine Learning

See How We Create a Machine Learning Model That Predicts When a Wildfire Will Become ...
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Top Twitter Topics by Data Scientists #43

Trending this week: AlphaGo Zero explained in one picture; Rliable, an open-source Python library for ...
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Interested in going further than what atoti has to offer? 🚀

Discover Atoti+, the enterprise version of atoti.

#atotiplus #avtech #atoti

Analyze data at lightening speed ⚡

Read on to discover three methods for implementing real-time with #atoti.
We will discuss an example from the #finance industry – a real-time #MarketRisk dashboard.

#businessintelligence #python #dataviz #analytics

🥳 New #atoti Release 🥳
Among the changes you will find:

✅ New support for date hierarchies
✅ We are dropping #Python 2.7 support to comply with NumPy policy

All the changes 👉

#upgrade #analytics #programming #analytics #java #dataviz #dashboard

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.