So this took longer than normal, mostly because of the update to SAP Analytics Cloud. Parts of this analysis were done before last week's update, and then other tools came into play.
A few weeks ago SAP Inside Track Ribeirao Preto was held in Brazil. How did it look on Social Media?
So SAP Analytics Cloud shows 719 tweets with 484 unique tweeters
Most of the tweets were on March 23rd, the day before, "SAP Personas Day"
The top time zone for tweets was Brazil, with Pacific second
Interesting that the top language was English
Smart discovery looks at the "Favorite" counts for the @SAPInsideTrack twitter account
Favorite tweets are higher when the language is Portuguese
Favorite tweets are higher with
raquel.pereiradacunha
See above for Top Tweeters
TextLayer shows the top single words above in tweets
TextLayer shows the top 2 word combinations above in tweets
Above shows the top text in tweets, combining topics with twitter ID's
Top topics are shown above, including ABAP, Analytics, BI, S/4HANA, Ariba, Blockchain, IoT, and Screen Personas
Top twitter ID is shown above; I believe it may be a bot. Good to see
raquel.pereiradacunha and organizer
douglas.cezar10 in there and other on-site participants
For "fun" and a hybrid BI use case, I accessed this SAP Analytics Cloud model using Analysis Office
What I like about it is it aggregates by dimension automatically
Above is a Word Cloud using R with SAP Analytics Cloud
Above are the top twitter ids shown in an R Word Cloud with SAP Analytics Cloud
R Code to do this is shown below:
# load package
library(wordcloud)
# get words
words <- sitrptextxlsx$Text
# get frequency
frequency <- sitrptextxlsx$'Count'
# generate word cloud
wordcloud(words, frequency, scale = c(6, 2), rot.per=0.3, colors=brewer.pal(8, "Dark2"))
Top favorited tweet was this:
https://twitter.com/douglas_erp/status/977410616808878080
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