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University of Western Australia
Guest Lecture
SAP Business Intelligence
Joshua Fletcher
SAP Mentor
16th October 2013
Agenda
1. Introduction
2. SAP Overview
3. SAP's Analytics & IM Platform
4. Industry Trends
– Mobile Analytics
– In-memory Databases
– Predictive / Statistical Analysis
5. Questions & Answers
Introduction
• Twelve years experience with BI tools
• Recently spent seven years as a
Principal Consultant and Team Lead (up
to 10 consultants) including recruiting
graduates
• Now contracted to BHP Billiton Iron Ore
as a BI Architect in their new BICC
• Experienced across the lifecycle of
Business Intelligence and Enterprise
Information Management
SAP Mentor Initiative
SAP Mentor Initiative
• SAP Mentors are the top community
influencers of the SAP Ecosystem
• Most of the ~130 mentors work for
customers or partners of SAP
• All of them are hands-on experts of an SAP
product or service, as well as excellent
champions of community-driven projects
• Focus is on engagement, co-innovation and
advocacy
Channels
Unprofessional
journalism at its
finest
Recorded by a
bunch of guys in
the SAP BI
community
Podcasts on
product news,
technology usage
and interviews with
other BI people
@dslayered
dslayer.net
dslayered
Who is SAP? • SAP is the world leader in enterprise applications in
terms of software and software-related service
revenue
• More than 238,000 customers in 188 countries
• More than 65,500 employees – and locations in
more than 130 countries
• A 41-year history of innovation and growth as a true
industry leader
• Annual revenue (IFRS) of € 16,22 billion
• Listed under the symbol "SAP" on stock exchanges,
including the Frankfurt Exchange and NYSE
• SAP recently celebrated it’s 40th anniversary (video)
SAP’s Analytics Platform
Gartner Magic Quadrant 2013
Business Intelligence
Gartner Magic Quadrant 2013
Data Warehouse
Information Management
Trend 1 – Mobile Analytics • 1 in 3 Americans now own a tablet (Mashable Jun
2013)
• Australians have the most tables per capita in
study across 16 countries (SMH Dec 2012)
• What are the hot areas for mobile BI?
– Self-service report & dashboard consumption
– Spatial analysis
– Exploration of information
– Simple ad-hoc analysis
• Most vendors have mobile apps that are free to
download and use trial data with
Mobile BI Demonstration
Trend 2 – In-memory Databases • Gartner note 60 vendors who provide
forms of in-memory databases (IMDB)
• Major vendors who now support (or have
announced planned support) include:
– SAP with HANA
– Oracle with Oracle DB In-memory Option
– IBM with IBM DB2 Blu
– Microsoft with SQL Server 2012 Hekaton
• Some vendors are adding to existing
tech, others are building new
SAP HANA
• Natively in-memory with MPP architecture
• Designed to support OLTP & OLAP
workloads simultaneously (write
individuals record while querying billions)
• Unstructured & structured data storage
• High compression with column & row store
• On-premise or cloud deployment options
SAP HANA Capabilities
• Advanced calculation/semantic layer
• Unstructured text analytics
• Statistical algorithms
• Data quality algorithms
• Spatial querying supported
• Smart Data Access allows querying of
Hadoop, Sybase IQ and other databases
SAP HANA – More Than a DB
SAP HANA Performance
3 billion scans per second per core
12.5 million aggregates per second per core
1.5 million inserts per second
SAP HANA Performance
• 1 PB Performance Benchmark
– 100 Nodes, 100 TB in DRAM
– 10 Years of Sales & Distribution Data
– 1.2 trillion Rows (330 Million transactions / day)
– Ad-hoc Simple Queries (e.g. Month Report)
• 430ms – 647ms, Drill-down: 142ms, Complex Queries
(e.g. YoY report): 1.2s – 3.1s
– Query Throughput (Queries per Hour)
• 7,547 for 1 stream, 57,202 for 10 streams, 112,602 for
60 streams
SAP HANA Demonstration
Trend 3 - SAP Predictive Analytics
• Desktop analyst tool which provides data
acquisition, cleansing, statistical analysis and
visualisation capabilities
• Integrates with local R engine or pushes
analysis to HANA and Predictive Algorithm
Library (PAL)
• Able to handle big data by leveraging HANA’s
capabilities
• New possibilities such as McLaren F1 (video)
Predictive Needs & Examples
• Anomalies – what anomalies or groupings/clusters exist?
• Forecasting – how does historical information translate to future performance?
• Relationships – are there correlations in data, or opportunities to cross-sell or up-sell?
• Key Influencers – what are main influencers of customer satisfaction or customer churn?
• Trends – what are emerging trends or sudden step changes that will impact business?
Integration with R Library
• Open source statistical programming
language with over 3,500 packages and
ability to write your own functions
• Used by growing number of data analytics
in industry, government, consulting and
academia
• Free, comprehensive and many learn at
college or university
HANA Synergies
• Leverage complimentary capabilities of Predictive Analytics and HANA PAL
• Integrated and optimised for interoperability, enabling combination of real-time and operational analytics, access to big data, and predictive capabilities
• If it's available through HANA, it can be used for data mining and predictive analysis: gain real-time access to BPC, BW, ERP, Analytic Applications and more
Common Algorithms
• Association (Apriori)
– Find frequent item patterns in transactional
datasets ie market basket analysis
• Clustering (K-Means)
– Cluster observations into related groups
• Decision Trees (CNR Tree)
– Classify observations into groups and predict
discrete variables
Common Algorithms
• Neural Network (MONMLP Neural Network)
– Forecast, classify and undertake statistical
pattern recognition
• Outliers (Nearest Neighbour Outlier)
– Find patterns in data that aren’t expected
• Regression (Exponential Regression)
– Finds trends in data
• Time Series (Single Exponential Smoothing)
– Smooth (trend) or forecast time series data points
SAP Predictive Analysis Demonstration
Useful Links – Mobile BI
• Explorer iPad App
• Mobile BI iPad App
• Lumira Cloud Free
• Lumira Desktop Personal Edition Free
Useful Links – HANA
• SAP HANA Startup Program
• Access Your Own HANA Server
– Free 30 day trial
– Cloud development access (Amazon EC2
PAYG)
• HANA Academy
• NBA Statistics (powered by HANA)
Useful Links – Predictive
• SAP Predictive Analysis Trial
• Try R School
• Free book ‘Learning Statistics with R’
Useful Links – General
• SAP Mentor Initiative Introduction
• Diversified Semantic Layer