Analytics summer workshop preview

SAP Academic Conference Americas 2015
Business Analytics
Friday, April 9, 2015

Michael Bliemel, Dalhousie University
Nancy Jones, San Diego State University
Business Analytics

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 3
Coastal Coverage of UA Member Schools
From California to SNova Scotia

Coastal Coverage of UA Member Schools
From Crawlifornia to Nova Scotia

Agenda
SAP Analytics Overview
The SAP Business Intelligence Roadmap
Summer Business Analytics Workshop Information
 What to expect at the workshop

Analytics Maturity
Source: Mugglestone (2013), p. 4

Where Predictive Analysis is used

Asking the Right Business Questions
Successful analytic organization must focus on the right
questions, those that help make the right decision and provide a
competitive edge:
Who are the most profitable/desirable customers?
Which clients are we more likely to lose?
What has been sold and where?
What should be our pricing and advertising strategy?
How my markets have evolved through time?
Have we reduced in-process inventories ?
Were there major production disruptions? Why ?

THE IMPACT OF ANALYTICS
OPPORTUNITIES AND BENEFITS FOR COMPANIES

Big Data:
Shortage in analytical skills
11
The United States alone
faces a shortage of
190,000
people with analytical expertise
and
1.5 million
managers and analysts
with the skills to understand
and make decisions based on
the analysis of big data
Source : McKinsey, 2011

Analytic tasks for different employees

Three Types of Personas
• Create complex
predictive models
and simulations
• Validate predictive
business
requirements
• Publish results back
to source
Data Scientist
0.1%
Representative
User Base
• Transform and
enrich data source(s)
• Create simple
predictive models
and simulations
• Visualize results and
publish to BI
Platform
Data Analysts
~3% 97%
Executives/
Business Users
• Interact with
published predictive
analysis
• Visualize results in
context of use case
• Collaborate with
colleagues toward
closure/action

Solutions for the Entire Spectrum of Users
Business Users & LOB
Data
Scientist
Business
Analysts
Level of Skill Set – Analytics
Low HighNo
97% 3% >0.1%
Embedded Analytics
Industry & Business
Process Analytics
Custom
Analytics
SAP
Lumira
SAP InfiniteInsight (KXEN) SAP Predictive Analysis
SAP
PAL
R
Integration
SAP ADVANCED ANALYTICS
including professors raising their skills

WORKING WITH REAL BUSINESS DATA

SAP BI Roadmap
May change, no money back, etc.

Introduction to Next Generation Business Intelligence with Automated
Analytics Mode in SAP Predictive Analytics
INTRODUCING PREDICTIVE ANALYTICS (AUTOMATED MODE) – FORMERLY INFINITEINSIGHT
 Predictive Analytics
 formerly KXEN InfiniteInsight, joined SAP in 2013
 uses very specific methods to address a set of
well defined problems, often related to Specific
Industries or Lines of Business.
In 2015 SAP Predictive Analysis and SAP
InfiniteInsight solutions were combined to create
SAP Predictive Analytics
 Predictive Analytics (Automated Mode) consists of the
following modules
 Classification/Regression
 Clustering
 Time Series Analytics
 Association Rules
 Social Network Analytics
 Recommender Models

SIMPLIFIED ANALYTIC PROCESS
Faster Model Development Process with Predictive Analytics

The Technology behind Automated Mode in Predictive Analytics
 Automated Mode Algorithms in SAP Predictive
Analytics uses a modelling procedure based on
Structural Risk Minimization, first proposed by Vapnik
in 1974
 Here a statistical learning procedure is used which
selects a model that minimizes the upper bound on
test error.
 This has the result of accomplishing generalizability
while avoiding over fitting a model on a training data
set. In other words it deliberately trades off some
predictive power to create models that are more robust
and work for new data.
Vapnik, V.N., and A. Ya. Chervonenkis, 1974. Teoriya Raspoznavaniya Obrazov:
Statisticheskie Problemy Obucheniya. (Russian) [Theory of Pattern Recognition:
Statistical Problems of Learning]. Moscow: Nauka.

PREDICTIVE ANALYTICS / KXEN
ROADMAP FOR A UNIFIED CODE BASE

New name and product merging happened Feb. 11, 2015

Advanced Analytics Solutions from SAP
R
Integration
SAP HANA
Search Rules Engine Text Mining
Predictive
Analysis Library
Business
Function Library
Spatial
SAP
Lumira
SAP InfiniteInsight
(KXEN)
SAP Predictive
Analysis
+

The Solution now has 2 modes using the II or PA platform

SAP Infinite Insight becomes Automated Analytics in SAP
Predictive Analytics

SAP Predictive Analysis becomes Expert Analytics in SAP
Predictive Analytics

SAP Lumira is still at the heart of Expert Analytics

https://cloud.saplumira.com/open?key=54CA1D88497A7F74E10000000A4E4243&type=HANALYTIC
– This is the same as the QR-Code and you can see this on your mobile device or iPad
Visualization Example: Lumira Cloud

SAP Lumira New Delivery Options

Visualization Tools

Planned Product Convergence
long term plan, no guarantees or timelines yet

SAP Analytics for Different Users

Summer Business Analytics
Workshops

Summer Workshops
June 8 – 11, 2015
Chico, CA
 Monday through Thursday 9AM to 5PM
July 13 - 16, 2015
Milwaukee, WI
 Monday through Thursday 9AM to 5PM
More information regarding the workshops may be found at
http://scn.sap.com/docs/DOC-62661

Workshop Objectives:
Learn about analytics applications from SAP
Discover where to find resources for teaching with SAP analytics solutions
Gain experience working through curricula available for UA members
Test drive SAP analytical tools

What you will learn at the workshop…
Dialogue/Discussion
 Guided tour of available UA BI resources
 SAP Analytics Tools
 Selected data analytics topics
Hands On:
 Data mining using SAP BW and Business Explorer (BEx) to discover retail fraud
 SAP Explorer data exploration for insights
 Multidimensional analysis using SAP Business Objects for Office
 Multidimensional analysis of Teradata from the University of Arkansas
 Lumira visualizations
 Predictive Analytics 2.0
– Infinite Insight (KXEN)
– Expert Analytics (Predictive Analysis)
 Web scraping and Lumira Cloud
 Lumira Cloud and Infographics
 Dashboards
 Mobile Apps

Analytics Applications
Reporting
• Multidimensional analysis
• Slice/dice
• Predefined reports
• Adhoc querying
Visualization
• Graphing
• Dashboards
Prediction
• Data mining
• Advanced visualization

Three step process – in theory…

Overview of Analytics Landscape at UA… but it is
evolving!
Analytics Applications
SAP BusinessObjects
Web
Intelligence
Analysis
Design
Studio
Predictive
Analysis
Explorer Lumira
SAP Crystal Solutions
Crystal
Reports
Crystal
Interactive
Crystal
Dashboard
Design
Data sources and Data Staging
Business Warehouse:
SAP Netweaver BW 7.3
High-Performance In-
Memory Appliance SAP
HANA
Business Suite Non-SAP

SAP BusinessObjects Analysis for Microsoft Office
•Analysis is a powerful, in-depth, OLAP analysis
tool that provides
• Capability to create predefined workbooks that
included guided navigation
• Ad Hoc OLAP analysis
• Hierarchical awareness
• Data visualization
•Best suited for power users such as a business
analysts

Microsoft Office Edition Features
•Design/Task/Navigation
Panel like Excel “Pivot” table
•Drag and Drop (BEx Analyzer
has this too…but)
•Undo button
•PowerPoint Integration
• From Excel to PowerPoint, or a
new analysis within PowerPoint

SAP BusinessObjects Web Intelligence
aka WebI
Intuitive Web-based interface
with offline capabilities
Ad Hoc Query, reporting and
analysis
Multi-source access
Filtering, ranking, sorting,
alerting, breaks and sections
Business-centric view of
information with Universes

SAP BusinessObjects Analysis
(used to be called Advanced Analysis)
OLAP data access
Available in various editions – Web, Excel
and PowerPoint
Multiple OLAP cubes in the same
workspace
Optimized for highly interactive analysis
Several visualization options (scatter charts,
radar charts etc.)
Exception highlighting
Drill-down capability
Ideal for power user

SAP BusinessObjects Design Studio
Replacement for BEx Web Application Designer
• Easily design centrally governable analytic content
ranging from simplified templates via guided analytics to
sophisticated applications.
• Intuitive WYSIWYG design environment for designers
• Large set of design components (buttons, tabs, dropdown
menus etc.)
• Extend via scripting language (subset of JavaScript)
• Central Supportability
• Theming & Customizing
iPad Support built-in
• Apps are ready for immediate usage on standard web
browsers and mobile devices (HTML5)
Direct & native support for HANA & BW
• Operates directly on BEx Queries, InfoCubes and Hana
Views
• Support for BW & HANA

SAP BusinessObjects Explorer
For data exploration and
visualization
Support for heterogeneous data
sources
Easy and intuitive to use
For casual users with no training
required

SAP Crystal Reports
Standard tool for reporting
Build any kind of report –such as business,
financial, legal, and regulatory reports
Sophisticated report formatting: create multi-
page, multi-query, pixel-perfect reports
Templates and wizards to speed up report
creation
Secure, large-scale distribution of reports
over the Web
Connectivity to any data source

SAP Predictive Analysis (including Lumira)
• Designing complex predictive models (data mining)
• Data visualization, discovery and insights
• Open-source predictive algorithms via integration with R

SAP Predictive Analysis (PA)
• Is a statistical analysis and data
mining solution that enables
construction of predictive models
• One integrated solution for advanced
data analysis and interactive data
visualizations
• Identifies trends, insights and hidden
patterns in the data
• Provides predictions about future
events

Decision Tree Visualization in PA

SAP Predictive Analytics: K-Means Cluster Analysis

Time Series Analysis
Single, Double and Triple
Exponential Smoothing for
Time Series Forecasting in
Gamma, start time, & other
parameters

Automated Mode Network Analysis
Network Analysis and Recommenders in SAP PA 2.0

SAP Crystal Dashboard Design
Personalized dashboard online and
offline
Flash-based interactive dashboards
Visualize anywhere – portal, reports,
PDF, MS Office, Flash
Powerful “what-if” analysis with input
controls (sliders, dials etc.)
Drill-down capability
Stunning graphics with skins, maps,
charts, gauges and selectors
Integration with SAP BW InfoCubes

Global Bike InfoCube Display
2.
Characteristic
1. Dimension
3. Navigation
Attributes selected for
use in analysis.

Navigation Attributes Displayed as if Dimensional
Characteristics in Query Designer

Examples of Curricula
GBI
Business Objects Explorer

Retail Fraud Case
Uses the Sam’s Club
Teradata
BEx

Retail Fraud Case
Simple SQL queries to the cube

Retail Fraud Case
Retail fraud discoveries

Examples of Curricula: Automated Mode Clustering
Insurance Risk
Predictive Analysis 2.0

ERPSim Sales
Lumira Cloud

GBI Mobile App
SAP Design Studio

Analyze and Visualize data in Lumira
Create Storyboards and Dashboards in Lumira

Predictive Analytics with Sams Club Big Data

More than just software, we will cover teaching tips
What projects can you do?
Data sources, where to get them?
Scraping data from webpages
Push out visualizations using Lumira cloud
Cover concepts such as Hadoop and In-Memory computing
Hands on MapReduce Exercise using Cards
Show resources where you can learn more analytics

An Invitation from ASUG
Join us: ASUG BI pre-conference session at ASUG Annual conference,
Monday, May 4. (extra registration fees apply).
Register here (http://events.sap.com/sapandasug/en/pre-
conference.html?bc=2%2)
Hands-on SAP BusinessObjects BI 4.1 w/ SAP NetWeaver BW Powered by
SAP HANA – Deep Dive includes hands-on with Design Studio, SAP Lumira,
BusinessObjects Analysis Office 2.0.
See details here: ASUG Pre Conference 2015
(http://scn.sap.com/community/businessobjects-design-
studio/blog/2015/02/19/asug-pre-conference-2015--analysis-office-lumira-and-
design-studio)

© 2015 SAP AG or an SAP affiliate company. All rights reserved.
Thank you
Contact information:
Nancy Jones
San Diego State University
Charles W. Lamden School of Accountancy
5500 Campanile Dr.
San Diego, CA 92182-8221
njones@mail.sdsu.edu
Contact information:
Michael Bliemel
Dalhousie University
Rowe School of Business
6100 University Avenue
Halifax, Nova Scotia, B3H 4R2 Canada
m.bliemel@dal.ca

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