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simon@metabase.com

@sbelak
Exploratory analysis:
automation, augmentation,
and building tools for thought
Goal: answer 80% of
questions stemming from
data in <20min
The analytics chasm
2 min 20 min project
Ideal. Almost real-time. Can be
done during brainstorming
without disrupting the flow.
:(
Added to roadmapSqueeze in
somewhere
in the day
Doing our job better is
often a matter of speed
and quantity
Metabase ❤
github.com/metabase/metabase
• Open source BI/analytics tool

• Runs on-premise, data-agnostic

• 21k+ companies use us daily

• Focus on UX and friendliness

• Building a “data scientist in a box”
Metabase ❤
github.com/metabase/metabase
• Open source BI/analytics tool

• Runs on-premise, data-agnostic

• 21k+ companies use us daily

• Focus on UX and friendliness
• Building a “data scientist in a box”
From artificial intelligence
to augmenting human
intelligence
Flow
Affordances of our tools
shape how we approach
problems
Think in
distributions
http://www.onyxplatform.org/jekyll/update/2017/02/08/Pyroclast-Preview-Simulation.html
Flow v. Hub-and-spoke
Factor out the
mechanical part of the
analysis
Nils, wrong encodings,
outliers, input errors
Every aggregated
metric is a mixture
of all your segments
A lot of problems are also
time series problems
(we just don’t treat them
as such)
Changes in distribution
a r e h i n t s a b o u t
underlying changes in
segment mixture
Declarative analysis:
Directing focus, rather
than specifying the steps
Building intelligence
Semantic + structural
model
REPL + notebook
+ Metabase?
Questions
P.S. We’re hiring!

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