Presentation given by Mark Edmondson and Peter Meyer at Superweek 2017 in Hungary. Includes three examples of using APIs in a tag management solution to give better data to make decisions and use predictions.
2. • Digital business focus
• 15+ years of experience
• Web Analytics House 2013,
2014, 2015, 2016, 2017
• Value-driven business
• More than 40 people in
Denmark, Sweden &
Norway
About IIH Nordic
3. About Us
Mark Edmondson
• In digital since 2006
• Data Insight Developer
• Google Developer
Expert for Google
Analytics
• RStudio Advocate
• cloudyR contributor
• @HoloMarkeD
Peter Meyer
• In digital since 1997
• Analytics Technician
• TMS and Analytics
implementer
• @pmeyerdk
4. Agenda
• What are actionable analysis APIs?
• Example 1 - Weather API - IBM
• Example 2 - Custom prediction API - Prefetching
• Example 3 - Text sentiment API – Google/Algorithmia
Machine Learning
• Future opportunities
11. Examples of actionable analysis APIs
• Visualisations for decision support (dashboards)
• Multivariant testing
• Bid managers
• Enrichment of data - weather
• Content prediction - prefetching
• Text analysis – machine learning API
We will talk today about these ones:
…but others include:
15. Analysis
• Take daily lag to negate
spurious trend
correlation
• tscount() R package for
poisson distribution
• 16% ±4% extra visitors
on rainy days