Skip to Content

Yesterday SAP’s Charles Gadalla conducted an SCN Analytics webcast on Predictive Analytics.

I think the best part of this webcast was the question & answer.

He said the usual disclaimer applies that things in the future are subject to change.  My disclaimer – these are my notes, based on what I heard.

Charles said businesses are paying attention to advanced analytics and want things done in “real-time”

/wp-content/uploads/2013/09/1fig_285724.jpg

Figure 1: Source: SAP

Charles said the product went GA in December 2012

He said Forrester moved the product to the leader quadrant in Q1

Businesses are paying attention to advanced analytics and want things  done in real-time

/wp-content/uploads/2013/09/2fig_285728.jpg

Figure 2: Source: SAP

Figure 2 shows Mitsui, a Japanese company,  using HANA and R to speed up analysis and investigate tumors

Charles said HANA several times faster than traditional based systems

/wp-content/uploads/2013/09/3fig_285729.jpg

Figure 3: Source: SAP

Figure 3 review R, which is free, and used in areas such as banking, high tech

/wp-content/uploads/2013/09/4fig_285730.jpg

Figure 4: Source: SAP

Top left of Figure 4 is for business users; Predictive Analysis is for the business user.

PAL uses a C++ library

Roadmap

/wp-content/uploads/2013/09/5fig_285743.jpg

Figure 5: Source: SAP

Coming in the middle are planned innovations, including PAL support, PAL library, algorithm SDK – actual SDKs – bring in your own or use yours

He said that different personas being targeted

He said KXEN is like a blackbox, identify what looking for; the acquisition strategy has been around business user/persona

Question and Answer

Q: How is different from Lumira?

A: Lumira is a subset of Predictive

Missing Predictive tab in Lumira

Gain predictive tab with Predictive Analysis

Q: Where is Predictive going?

A: Business user is paramount, advancement is key

Q: How is this different from Data Mining

A: Data mining is looking at past data, predictive – turn equation around, interesting relationships – regression to look at the future

Q: Where does APO fit?

A: APO relies on where to fit demand

Looking at SAP fraud management, demand signal management, PLM SRM coming soon

See real value to have the person using APO to drive the forecasting and predict without leaving APO

Q: Is SAP building industry specific models?

A: Yes, this is coming through templates, best practices

Q: Can you only build PAL models or our own?

A: Going forward there will be a SDK to convert to C++

Q: Who builds math model – business or IT?

A: Start somewhere – he said “get ducks in water so start swim”  – I don’t recall the answer

Q: Does PA support Text Analysis?

A: Supported today in HANA

Q: Can you give an example of how to do PA against loose data relationship?  Category management?

A: Tide versus grapefruit scented Tide – not a linear relationship – classification, neural nets

Holistic framework, flat file – offer with Lumira with a flat file

Q: How ensure support if deploy a solution based on R?

A: R is open

Q: Is BW supported?

A: Inside of BW on HANA, look at analytic view, and compare on a flattened view

Customers want to connect to BW – this will happen

Q: Data prep for PA?

A: Turning to KXEN – auto binning and variable reduction – provides the data prepping

Data services will help

Q:  Can you transfer from the cloud, KPI?

A: Yes, not limit to data warehouse, use PA/Lumira Cloud integration, KXEN also provides cloud integration

Related links:

Predictive tutorials at Official Product Tutorials – SAP Predictive Analytics, SAP Predictive Analysis and SAP InfiniteInsight

Upcoming SCN Analytics webinars, open to everyone:

SAP BusinessObjects BI 4.1 Upgrade

October 8, 2013

Register Here

Empower Your Business By Creating, Visualizing, and Sharing Your Data

October 15, 2013

Register Here

Predictive sessions at SAP TechEd

To report this post you need to login first.

1 Comment

You must be Logged on to comment or reply to a post.

Leave a Reply