Predictive analytics for the business analyst: your first steps with SAP InfiniteInsight Pierpaolo Vezzosi, SAP SESSION CODE: 0605
Summary Who said you need a PhD to do sophisticated predictive analysis? Discover SAP InfiniteInsight and learn how you can achieve great results without being a data scientist. No need to know algorithms, you just have to be good at asking yourself the correct question. Understand how SAP InfiniteInsight differentiates from typical data scientist tools and how it enables you to easily create useful and accurate models. Learn how SAP InfiniteInsight compares to SAP Predictive Analysis. Attend this session to view live demos on creating recommendations, forecasting customer responses and doing social analysis.
LEARNING POINTS What is SAP InfiniteInsight and which type of user can benefit from it How does SAP InfiniteInsight relates with the SAP Predictive Analytics offers How to perform some fundamental workflows with SAP InfiniteInsight Future directions
Who is the business analyst
Skills involved in a predictive analytics project Business skills Math skills Technical skills
Profiles involved in a predictive analytics project Business Users Data Scientist IT
Business analyst as the profile who can understand and manage all parts of a predictive project Business Analysts
Business analyst at the core of the project Business Users Business Analysts Data Scientist IT
Profiles and tools
The profiles involved in a predictive analytics project and the tools used today Developer Data Scientist Business Analysts Business Users Data services, DBA studios, development UI, etc. Predictive analytics Business Intelligence Apps
The profiles involved in a predictive analytics project and the tools used today, in SAP terms Developer Data Scientist Business Analysts Business Users Data services, HANA Studio Predictive analysis, InfiniteInsight BI 4, Lumira Apps
SAP Advanced Analytics Portfolio SAP Predictive Analysis SAP InfiniteInsigh t SAP Business Intelligence SAP Applications SAP Rapid Deployment Solutions Partner Analytical BI & Tools SAP PIO Services Search Rules Engine Smart data access Text Mining SAP HANA Non-exhaustive SAP HANA capabilities below: SAP Sybase ESP PAL+ APL Spatial Business Function Library SAP Data Services R HANA Studio Data Transaction data Big Data Real-time Data Location Data Machine Data Data warehouses
SAP InfiniteInsight: a great solution at the core of predictive projects
Typical predictive project vs. SAP InfiniteInsight approach Time (and Cost) Typical data scientis tools approach Prepare data Choose model Run model Analyze results Productize Prepare data Choose model Run model Productize SAP InfiniteInsight 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 14
Data preparation made easy Prepare Use the Data Explorer interface in SAP InfiniteInsight to build and enrich your model dataset Add as many variables (columns) as you want: the more the better Don t worry about how to deal with text Don t worry about missing values Don t worry about outliers 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 15
No need to choose the model Model choice Yes or no? How much? What are the groups? SAP InfiniteInsight doesn t expose models but actions Who is influencing? What are the communities? Which events are going to happen together? What should be the recommendation? SAP InfiniteInsight automatically finds the best model using the Structural Risk Minimization methodology invented by Vladimir Vlapnik 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 16
The idea behind the scenes Model error Complexity 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 17
The idea behind the scenes Model error 1 Complexity 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 18
The idea behind the scenes Model error 1 2 Complexity 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 19
The idea behind the scenes Model error 1 2 3 Complexity 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 20
The idea behind the scenes Model error 1 2 3 4 Complexity 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 21
The idea behind the scenes Model error 1 2 3 4 5 Complexity 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 22
The idea behind the scenes Model error 1 2 Minimum error 3 4 5 Complexity 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 23
The idea behind the scenes Model error 1 2 3 4 5 High cost for reducing the error Complexity 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 24
Analyzing the model accuracy Analyze Ki: model quality How well the input variables explain the target variable in the model Kr: model generalization capability How accurate is the model on new data not availble in the training set 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 25
Automatically export the model Productize The model can be exported and embedded in your applications SQL Java C++ C Visual Basic PMML SAS etc. Factory An agent to automatically update and re-deploy models 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 26
SAP InfiniteInsight: Demo (I know that you all have been waiting for this but I really had to present the previous slides)
SAP predictive analytics: Future directions
The profiles involved in a predictive analytics project and the tools used today, in SAP terms Developer Data Scientist Business Analysts Business Users Data services, HANA Studio Predictive analysis, InfiniteInsight BI 4, Lumira Apps
The vision: enable collaboration and process simplification in predictive analytics projects Developer Data Scientist Business Analysts Business Users HANA Studio with PAL, APL, Data Services Next generation solution BI4, Lumira Apps
KEY LEARNING What is SAP InfiniteInsight and which type of user can benefit from it How does SAP InfiniteInsight relates with the SAP Predictive Analytics offers How to perform some fundamental workflows with SAP InfiniteInsight Future directions
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