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Finding the signals in the noise
Niklas Packendorff @packendorffSolution Expert Analytics & Data Platform
2© 2015 SAP SE or an SAP affiliate company. All rights reserved.
The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the
permission of SAP. This presentation is not subject to your license agreement or any other service or subscription
agreement with SAP. SAP has no obligation to pursue any course of business outlined in this document or any related
presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation
and SAP's strategy and possible future developments, products and or platforms directions and functionality are all
subject to change and may be changed by SAP at any time for any reason without notice. The information in
this document is not a commitment, promise or legal obligation to deliver any material, code or functionality. This
document is provided without a warranty of any kind, either express or implied, including but not limited to, the implied
warranties of merchantability, fitness for a particular purpose, or non-infringement. This document is for informational
purposes and may not be incorporated into a contract. SAP assumes no responsibility for errors or omissions in this
document, except if such damages were caused by SAP´s willful misconduct or gross negligence.
All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements,
which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
Legal disclaimer
© 2013 SAP AG. All rights reserved. 3
https://www.youtube.com/watch?v=hS-0ZadT6so
© 2015 SAP SE. All rights reserved.
4
SAP Big Data PortfolioArchitecture that is logical and mapped to needs Do you have good answers to these questions?
Can we respond flexibly to changing business situations?
Do our business users always get timely, up-to-date and
accurate information?
Which transactions/batch processes run multiple
times a day or are simply too long?
Can we perform scenario simulations or predictive
scenarios?Can we manage the cost and complexity to combine Big Data with ERP/CRM data?
Do the users have access to up-to-date KPIs/reports that they can change quickly, as needed?
Do we have processes that need massive re-work due to data
latency?
© 2015 SAP SE. All rights reserved.
5
SAP Data Platform Portfolio
Use whatever tool or UI to view your data
(SAP has a few ready for you)BusinessObjects, Lumira, Custom Application, Predictive Analysis
Use data from any system,
SAP or non-SAP, business or
sensor, POS ...Data Services/SLT
Listen to millions of records
per second and only keep
what is interestingEvent Stream Processor
Connect to many terabytes
and petabytes of backend
dataHadoop integration/Data staging
Query billions of records
combined from many sources
ad-hoc in secondsQuery Engine, Rules Engine
Enjoy fast programs
(using many queries)XS Engine, SQL, SQLScript, JavaScript
Make use of built-in
sophisticated statistical
algorithmsPredictive Analytics Library
Explore statistics ... or let
the system make a best
proposalKXEN InfiniteInsight
Treat text as just another
query aspect. Search and
relate.Text analysis engine
Treat geographic location
as just another query
aspectGeospatial data types
Reuse your exising tools/
models with high-speed
executionSAS integration
Reuse your R models (your
local statistician will know)
with high-speed integrationR integration
© 2015 SAP SE. All rights reserved.
© 2015 SAP SE. All rights reserved. 6
Please find more details here: https://blogs.saphana.com/2015/06/16/new-sap-hana-sps10/
The modern, fast & agile data platform
© 2015 SAP SE. All rights reserved. 8
Comprehensive Data Provisioning for SAP HANA Conceptual view of real-time high volume data movement from any source
SAP HANA Smart Data Access
SAP HANA Smart Data Streaming
SAP HANA Real-time replication
Any Source SAP HANA Data
ProvisioningTransform and Persist
Data
Other Data Sources (HANA, IQ, ASE, Hadoop,
Teradata, Oracle, MSSQL)
Streaming Event
Sources
Databases and
data marts
Cloud Deployments
SAP and other
Transactional systems
Each of these product provides unique data movement capability for SAP HANA, so
that customers can integrate any data sources into SAP HANA in real time.
SAP HANA Cloud Integration
SAP HANA Smart Data Integration
SAP HANA Smart Data Quality SAP HANA
Virtual TablesHANA Tables
© 2015 SAP SE. All rights reserved. 9
Analytical Views Attribute Views Tables
Calculation Views
HANA Agile data modelingStore data once, re-use in multiple models, avoid duplicate data and aggregates
© 2015 SAP SE. All rights reserved.
© 2015 SAP SE. All rights reserved. 10
SAP HANA Smart Data AccessData virtualization for on-premise and hybrid cloud environments
Benefits
Enables access to remote data access just like “local” table
Smart query processing including query decomposition with
predicate push-down, functional compensation
Supports data location agnostic development
No special syntax to access heterogeneous data sources
© 2015 SAP SE. All rights reserved. 11
A platform for Predictive Analytics & Machine Learning
Accelerate predictive analysis and scoring with in-database algorithms delivered out-of-the-
box. Adapt the models frequently
Execute R commands as part of overall query plan by transferring intermediate DB tables
directly to R as vector-oriented data structures
Predictive analytics across multiple data types and sources.
(e.g.: Unstructured Text, Geospatial, Hadoop)
© 2015 SAP SE. All rights reserved. 12
Data visualizationAnalyzing all data and sharing insights to make it actionable
13© 2014 SAP SE or an SAP affiliate company. All rights reserved.© 2015 SAP SE. All rights reserved.
14
eBay Early Signal Detection System Powered by Predictive
Analytics on SAP® HANA
CompanyeBay
HeadquartersSan Jose, California
IndustryProfessional Service (Internet)
ServicesOnline Marketplace
Employees
31,500 (2012)
Revenue or BudgetUS$ 14.1 billion (2012)
Web Site
eBay.com
Business Challenges
Increase ability to separate signal from noise to identify key changes to the
health of eBay’s marketplace
Improve predictability and forecast confidence of eBay’s virtual economy
Increase insights into deviations and their causes
Technical Challenges
Detect critical signals from 100 PBs of data in eBay EDW
Highly manual process because one model does not fit all the metrics hence
requires analyst intervention
Key benefits
Automated signal detection system powered by predictive analytics on SAP HANA
selects best model for metrics automatically; increases accuracy of forecasts
Reliable and scalable system provides real-time insights allowing data analysts to
focus on strategic tasks
Decision tree logic and flexibility to adjust scenarios allows eBay to adapt best
model for their data
“HANA is valuable in the sense that it accelerates that speed to insight.
HANA, with in-memory capability, with multicore, fast, lots of data, all of that coming
together is how I think analytics is going to work broadly in the future.”
David Schwarzbach, VP&CFO eBay North America at eBay Inc.
Determine with
100% Accuracythat a signal is positive at 97% confidence
Automated
Early Signal
Detectionsystem powered by SAP HANA
© 2015 SAP SE. All rights reserved.
15
eBay Early Signal Detection System Powered by Predictive
Analytics on SAP® HANA
Architecture DiagramKey SAP Solutions/ Features
SAP HANA Enterprise + R
SAP Business Objects dashboards
Technical KPIs
500 metrics analyzed to identify outliers
Determines 100% accuracy at 97% confidence if signal is
true positive
Implementation
Project Duration: 6 weeks (4 POC, 2 Productize)
Data Go-Live: 05/09/2013
Next Step
Implementation Phase II, exploration of Signal
Causation
EDW
Network
Storage
R Server [100 Petabytes]
Automated Early Signal
Selection System
SAP HANA
© 2015 SAP SE. All rights reserved.
17© 2015 SAP SE or an SAP affiliate company. All rights reserved.
© 2015 SAP SE or an SAP affiliate company. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate
company) in Germany and other countries. Please see http://global12.sap.com/corporate-en/legal/copyright/index.epx for additional trademark information and notices.
Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors.
National product specifications may vary.
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP SE or its
affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE or SAP affiliate company products and
services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as
constituting an additional warranty.
In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop
or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible future
developments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time
for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward-
looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place
undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.
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