Esitys Edutechin Data ja analytiikka liiketoiminnan kehittämisessä -koulutuksessa syksyllä 2015

1. Uutta otetta data-
analytiikkaan
Jukka Huhtamäki @jnkka
IISLab, TTY
Data ja analytiikka liiketoiminnan kehittämisessä
torstaina 26. marraskuuta 2015
#Data4BizTraining @edutechtut

2. ETL DAD
Extract
Transform
Load
Data Engineering
Data Warehouse
Forever
Discover
Access
Distill
Data Science
Whatever means
Now

3. Smart data
We need a movement with a quickness
You are the witness of change
And to counteract
We gotta take the power back
De la Rocha et al. (1992)

4. MAD skillz (Cohen et al. 2009)
Magnetic: Data warehouses should draw data
like a magnet, not repel it. Sharing data within
organization should be the default
Agile: It should be straightforward for anyone
to start analyzing data (analytics democracy)
Deep: Analysis should be as deep as analysts’
skills allow, not as shallow as IT rules

6. https://en.wiktionary.org/w/index.php?title=juonikas&oldid=31154683

7. Case Google Analytics
• Custom dimensions:
https://developers.google.com/analytics/devg
uides/collection/analyticsjs/custom-dims-mets
http://bit.ly/gacustom2015

8. (Parker, 2014)