NCAA-Was I surprised my team lost? SAP Predictive Analytics Explains

[TammyPowlas]

So last week I shared my initial clustering analysis using SAP Predictive Analytics 2.0 (Expert Analysis) Looking back at NCAA Basketball Clustering Analysis - Reviewing the Results

Sadly, it did reveal that my team, Kansas, didn't stand a chance of winning yesterday's game against Wichita State (congratulations to Wichita State).  Kansas was the only team in cluster 4 who won the first round.  Did this help heal my wounds of losing?  No...I'm reminded of Dr. Smith from Lost in Space:

"The pain of it all" - but life goes on, and there's more data to review.  So today, I took the winning "Sweet Sixteen" teams and ran autoclustering again

I reduced the number of clusters and looked at winning percentage this time.

I ran the analysis successfully, as shown above

Above shows my clusters resulting from Predictive Analytics.

Parallel Coordinates chart is a little easier to read this time (you can tell Kentucky because they continue to have 0 losses)

Above is the scatter matrix chart from SAP Predictive Analytics

How did the results look?

So 11 teams are in cluster 1 and 5 are in cluster 3

See teams in the crosstab below - first is cluster 1:

Cluster 3 has 5 teams below:

Should I predict based on this?  Kentucky (Cluster 3) over West Virginia (Cluster 1)?

NC State over Louisville?  Utah over Duke?

I am not sure.

Also it doesn't help that Oklahoma and Michigan State are in the same cluster.

So I go back and look at the old clusters (pre-tournament):

Cluster 8 continued:

Cluster 8 had the most wins, so based on this Michigan State is favored over Oklahoma

We'll see what happens this coming weekend.

Reference:

BI pre-conference session at ASUG Annual conference

Monday, May 4. (extra registration fees apply).

Featuring Hands-on SAP BusinessObjects BI 4.1 w/ SAP NetWeaver BW Powered by SAP HANA – Deep Dive

See details here: http://bit.ly/ASUGPreConBI

Focus on Analysis Office, Lumira, and Design Studio. You get to work with these for 7 hours! Full day BI workshop. Limited to 30 people. One person per machine (no sharing).

ASUG BI Annual Conference Schedule with Abstract Links

Also see Upcoming ASUG Business Intelligence Community W... | ASUG

At ASUG BI Annual Conference 2015 Schedule | ASUG there is an Excel version of the grid schedule

Also some upcoming ASUG Predictive Analytics webcasts are listed below:

• May 28: Predictive Analytics, Big Data, and Internet of Things
• June 11: Predictive Analytics and Data Mining for the Business Analyst with SAP InfiniteInsight
• July 9: Advanced Analytics For the Non-Data Scientist