#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts with Dashboards and Visualizations

1© 2015 SAP SE or an SAP affiliate company. All rights reserved.
#askSAP Analytics Innovations Community Call:
Delivering Big Data Insights with
Dashboards and Visualizations
September 17, 2015

Legal disclaimer
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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.

Speakers
Ty Miller
Vice President Product
Management
Angela Harvey
Director of Solution
Management
David Stocker
Senior Product Manager
Justin Sears
Director of Industry
Marketing
Tammy Powlas
SAP Mentor
@wtymiller @AngelaHarveySAP @dh_stocker@jcsears @tpowlas

• Quarterly series for the BI community
hosted by SAP Analytics
• An opportunity for you to direct the
discussion, get your questions
answered, and end the session with
some useful advice
• Live and interactive 90 minutes
• Connect on topics before, during, and
after the call via twitter using #askSAP
SAP Analytics Innovations
Community Call Series

Agenda
BI Strategy
1 2
Enterprise BI Trusted Data
Discovery
Big Data &
Lumira and
Hortonworks
3 4
Design Studio
5

• Simplify the landscape…
• Embrace all users…
• For both Enterprise BI and Trusted Data Discovery…
• Against all data.
SAP BI Strategy

Data Discovery
&
Analysis
Dashboards
&
Applications
Lumira
Explorer
Design Studio
Dashboards
BEx Web
Analysis for OLAP
Lumira
Design Studio Apps
Design Studio
Reporting
Crystal Reports
Web Intelligence
Desktop Intelligence
Crystal Reports
Web Intelligence
Analysis Office
EPM Add-in
Live Office
BEx Analyzer
Office
Integration
Analysis Office
Commonplatformservices
Interoperability
SelfServiceEnabled
Simplify the landscape…

Analysts
Designers
Administrators
Decision Makers
Embrace all users…

 Significant complexity to the BI content, often
professionally authored.
 Standardized formats, sophisticated design,
complex data mash-ups, or high levels of
governance.
 Separates creation from consumption
environment.
 Often not a product, but a way of working with
software in a self-service manner.
 Business user, analyst, or executive answering their
own questions.
 Combines the creation and consumption
environment into a single seamless experience.
Trusted Data DiscoveryEnterprise BI
For both Enterprise BI and Trusted Data Discovery…

Big Data
BW
Oracle
Against all data.

Enterprise BI

SAP Labs preview
Reduce downtime for patch upgrade
• Improved error reporting during Install
• Improve language update process
• Improved start-up time on Install
Improve Migration Process
• Delta content upgrade
• Promotion Manager performance improvement
Remove upgrade barriers
• Support for Linked UNX Universes
• Alias tables support for Oracle Essbase enhancements
in AOLAP
Improved User Experience
• Better collaboration experience with commentary
(platform capability consumed in WebI)
Planned
InnovationsSimplify the Platform
This is the current state of planning and may be changed by SAP at any time.

BI as Platform for Trusted Data Discovery
• SAP Lumira Add on to BI, SAP Lumira as a first class citizen in BOE
• Meet IT & business users need for data discovery
Platform Enhancements
• Notifications
• Recycle Bin – administrator can restore objects
• Enhanced Audit Reports.
• Publication enhancements
Client Enhancements
• Web Intelligence support for geo maps
• Web Intelligence re-use of objects created by other WebI users
• QR Code & Bar Code support in Crystal Reports for Enterprise.
• Support for InA provider for HANA connectivity in AOLAP
BW Enhancements
• Runtime currency conversion in AOLAP
• Authored UNX universe for BEx queries
Planned
InnovationsEnhance the Experience

SAP Labs preview
Platform Support
• New OS, browser, database and app server support
• Support for new data sources ( MS Azure, Apache Spark, Amazon EMR
Redshift )
• Support of Lumira on Android devices
Cloud Support
• Extend supporting BI to other cloud partners like Microsoft Azure
Platform and Clients
• Administrator cockpit - Administrator gets insights about BI Platform.
• Improved HANA Support- WebI delegates calculations to HANA in-
memory-engine
• Push notification on Mobile clients.
Customization & Extension Development
• Delegate WebI block rendering to CVOM HTML, 3rd-party
charting or geomap solution
• Enhance RESTful APIs (User ,Content and Session Mgmt, Crystal
Reports )
Planned
InnovationsInnovate for the Future

Trusted Data Discovery

SAP Lumira for Trusted Data Discovery
Essential features
enabling business-user
led analytics in the line
of business.
Agility
Bridging de-centralized
analytics deployments
with those centralized to
better serve the
enterprise
Trust
Cost effective Data
discovery on ALL data by
leveraging Velocity in
Memory Engine on
Hadoop
Scale

TrustAgility Scale
• Data Blending - HANA Online &
more than 3 sources
• BW - Improved prompting.
Retrieve LOV by range.
• Filter with measures or wildcards
• Customize chart axes, labels,
legend. In place customization of
charts from the compose room.
• Crosstab – search, sort, filter,
copy & export records directly
from crosstab.
• Geo base maps & layers.
Improved geocoding.
• Expressions using formula editor
• Input controls for time & range.
• Page re-order, re-name & zoom
• Refresh with prompts on open.
(Unx, BW, HANA)
• Publications and Scheduling with
prompts
• Create New Lumira Doc from browser
on Lumira Server for BIP (LS4BIP) and
Lumira Server for Teams (LS4T)
• Extension management for LS4BIP /
LS4T
• Story embedding from LS4BIP / LS4T
• Actionable data. URL link to third
party systems
• Auditing of Lumira Desktop from
LS4BIP
• Impact Analysis and Data Lineage
• Linux support for LS4BIP
• Link directly to relevant SCN (KBA)
or SAP Notes from Lumira Error
dialogues
• Mobile BI support
• Hadoop scheduling to LS4BIP or
LS4T
• Hadoop – Single file for Hadoop
sample & scheduled result.
• Data Volume Visualization
Improvements - Chart
performance improvements
(rendering to 100K).
• Ranking / top N + other
Agility, Trust and Scale Planned
Innovations

Big Data and Lumira

Quick Review of Big Data
Lumira
Big Data, Big Change
Challenge #1: speed & size
Challenge #2: variety
Overview

Job postings for NoSQL experts were up 54% year over year in 2014 (Dice, career site)
The data volume in the enterprise is going to grow 50x year-over-year between now and 2020 – Hadoop
Summit, 2014
According to Forrester, most companies use only 12% of their data
40% projected growth in global data generated per year vs. 5% growth in global IT spending. –McKinsey
Big Data is going places – want to go with it?
$27B in 2014, $100B in 2020

Opportunity
Organizations are
recognizing the
value of previously
discarded data
and new data
types
New data stores
cheaper in terms
of hardware,
software, and ETL
More data is
accessible from a
variety of sources
(weblogs, sensors,
social media)

Scale out, not up
Run on commodity clusters
Fault tolerant
Agile (semi & unstructured data)
Fast read/write
“OLTP” type use-cases
Examples, sensor data,
clickstream…
Large-scale processing
“datawarehouse”
Recommendation engines,
predictive, etc
NoSQL and Hadoop

Analytics and Big Data
Agile
Visualization
Advanced
Analytics
Enterprise
Business Intelligence
• SAP Analytics tools view Hadoop as just another data source
• Complement your existing data infrastructure with Hadoop or NoSQL and derive value with familiar SAP tools
• Use SAP Analytics directly against Big Data sources, or with HANA for real-time analytical capabilities
Data Sources
SAP BI Suite
• Connect universes directly to
Hadoop thru EMR, Hive, Impala
then report using any client tool
(Web Intelligence, Crystal Reports,
Dashboards)
SAP Lumira
• Connect to Hadoop thru Hive, EMR,
and Impala drivers or additional
sources with our API
• Customized data acquisition for
MongoDB
• Leverage our Big Data visualizations
or build your own
SAP Predictive Analysis
• Beyond knowing what happened
understand why, or model what
could
• Tease more information out of Big
Data sources, creating more
attributes for better modeling
• Fast—pushing the predictive
calculations to Hadoop removes
the need to bring data to the
desktop

Thinking about Big Data Differently

MongoDB

Graphs

http://db-engines.com/en/ranking_trend
How popular are they?

We need to be able to bring their data into our
analytical experience
• Flattening the data is the end goal, not the
beginning
• Support schema-less sources
• Dedicated acquisition experience
Adjust to these new types of sources

MongoDB and Lumira

Neo4j and Customized Acquisition Experience

Companies transform entire
business model by using the new
architecture to keep all its business
data for longer and to use for a
wider variety of analytics.
Previously only storing 1% of its core
business data for one year.
Why Hadoop matters to Analytics?

Hadoop – Practical Use Cases
Archive
Data of Unknown Value
Data Lakes for Exploratory Analytics

• Visualizations on big data…
• Connecting to more data sources…
• Performance expectations of end users & and of course
transferring big data is not a good idea…
More data more problems…

How do we bring End-User
Self-Service to Hadoop
environments

Original
sample
Full
Full
1. Sampling of the
dataset
2. Scheduling the
operations to
Hadoop to
generate the full
dataset
3. Full dataset
copied into the
.lums file
Lumira Server,
Team edition
VE
Full Lumira
Server for
BI platform
L
o
c
a
l
V
i
e
w
4. .lums file
published to
Lumira Server
Virtual Table
5. IT can author
views in Hana
using the Smart
Data Access
Data Wrangling on any data size in Hadoop!

Demo

THANKS!
Angela Harvey
Angela.Harvey@sap.com
@AngelaHarveySAP

Delivering Data-Driven
Transformations
© Hortonworks Inc. 2011 – 2015. All Rights Reserved
Justin Sears, Director of Industry Marketing

Data Growth from the Internet of Anything
Leaders drive business
transformation via
modern architecture
that harnesses all data
NEW
TRADITIONAL
Opportunity
Unlock transformational business value
from a full fidelity of data and analyticsGeolocation
Server logs
Files & emails
ERP, CRM, SCM
Traditional Data Sources
Internet of Anything
Sensors
and
machines
Clickstream
Web & social
2.8 zettabytes
in 20121
44 zettabytes
in 20201
1Zettabyte (ZB) = 1 million petabytes (PB); Sources: IDC, IDG Enterprise, and AMR Research

Threats
Existing data architectures make
data inaccessible, incomplete,
irrelevant, and expensive.
Page46 © Hortonworks Inc. 2011 – 2015. All Rights Reserved

Opportunities
Apache™ Hadoop® transforms your
business, making Big Data easily
accessible for advanced analytic
applications.

Hortonworks® customers leverage our technology to transform their businesses, either by
achieving new business objectives or by reducing costs. The journey typically involves both
of those goals in combination, across many use cases.
OPEX
Reduction
Mainframe
Offloads
Historical
Records
Data
as a
Service
Public
Data
Capture
Fraud
Prevention
Device
Data
Ingest
Rapid
Reporting
Digital
Protection
C O S T
S AV I N G S
Social
Mapping
Payment
Tracking
Factory
Yields
Defect
Detection
Call
Analysis
Machine
Data
Product
Design
M & A
Due
Diligence
Next
Product
Recs
Store
Design
Risk
Modeling
Ad
Placement
Proactive
Repair
Disaster
Mitigation
Investment
Planning
Inventory
Predictions
Customer
Support
Sentiment
Analysis
Supply
Chain
Ad
Placement
Basket
Analysis
Segments
Cross-
Sell
Customer
Retention
Vendor
Scorecard
s
Optimize
InventoriesB U S I N E S S
O U T C O M E S

Open
Enterprise
Hadoop
Open
Interoperable
Central
Ready

Hortonworks Data Platform
Is Genuinely Open
Eliminates Risk
of vendor lock-in by delivering 100% Apache
open source technology
Maximizes Community Innovation
with hundreds of developers across
hundreds of companies
Integrates Seamlessly
through committed co-engineering
partnerships with other leading technologies
M A X I M U M C O M M U N I T Y I N N O VAT I O N
T H E
I N N O VAT I O N
A D VA N TA G E
P R O P R I E T A R Y
H A D O O P
T I M E
INNOVATION
O P E N
C O M M U N I T Y

Open
Enterprise
Hadoop
Open
Interoperable
Central
Ready

YA R N
D A T A O P E R A T I N G S Y S T E M
OPERATIONS SECURITY
GOVERNANCE
STORAGE
STORAGE
Machine
Learning
Batch
StreamingInteractive
Search
Centralized Platform
for operations, governance and security
Diverse Applications
run simultaneously on a single cluster
Maximum Data Ingest
including existing and new sources,
regardless of raw format
Shared Big Data Assets
across business groups, functions and users
Centralized Platform with YARN-Based Architecture

Open
Enterprise
Hadoop
Open
Interoperable
Central
Ready

Offering You the Most Flexibility
A N Y D ATA
Existing and new datasets
A N Y A P P L I C AT I O N
Multiple engines for data analysis
A N Y W H E R E
Complete range of deployment
options
Batch
Interactive
In-memory
Streaming
Machine Learning
Click-
stream
Sensor
Social Mobile
Geo-
Location
Server
Log Linux Windows
CloudOn-Premise

Integrated and Interoperable with the Ecosystem
Partners
OPEN DATA PLATFORM
ENABLING BIG DATA SOLUTIONS TO FLOURISH ATOP A COMMON CORE PLATFORM

Open
Enterprise
Hadoop
Open
Interoperable
Central
Ready

YA R N
D A T A O P E R A T I N G S Y S T E M
OPERATIONS SECURITY
GOVERNANCE
STORAGE
STORAGE
Machine
Learning
Batch
StreamingInteractive
In-memory
Enterprise-Ready Governance, Security & Operations
Trusted Governance
along the entire data lifecycle
Comprehensive Security
through a platform approach
Consistent Operations
with automated provisioning, management
and monitoring—optimized with
Hortonworks SmartSense™

Why Hortonworks?
The leader in Open Enterprise Hadoop

Only Hortonworks Delivers Open Enterprise Hadoop
YARN: Data Operating System
CLICKSTREAM SENSOR SOCIAL MOBILE GEOLOCATION SERVERLOG
Batch Interactive In-Memory Streaming Machine Learning
EXISTING
HORTONWORKS DATA PLATFORM
O p e n – C e n t r a l – I n t e r o p e r a b l e – R e a d y
Linux WindowsCloudOn-Premises

About Hortonworks
Customer Momentum
• 556 customers
• 119 customers added in Q2 2015
• Publicly traded on NASDAQ: HDP
Hortonworks Data Platform
• Completely open multi-tenant platform
for any app and any data
• Consistent enterprise services for security,
operations, and governance
Partner for Customer Success
• Leader in open-source community, focused
on innovation to meet enterprise needs
• Unrivaled Hadoop support subscriptions
Founded in 2011
Original 24 architects, developers,
operators of Hadoop from Yahoo!
740+
E M P L O Y E E S
1350+
E C O S Y S T E M
PA R T N E R S

Why Hortonworks and SAP?

Delivering Big Data Platform with SAP & Hortonworks
HADOOP DATA LAKE
SAP HANA
APPLICATIONS
Low Cost Scale-Out
Storage
Data Cleansing, Transformation,
Stream Processing
Deep Analytics &
Exploration
Stream
Processing
Accelerated
Analytics
Application Services
Analytic Predictive Web Mobile
DataIngestion&Provisioning
Sensor
Logs
Text
Structured
Social
Weather
Geo
Other
SOURCES

Process Map For Predictive Maintenance
ERP Data
Historical Telemetry
Data
Real Time
Telemetry Data
Load Telemetry
Normalize Telemetry
Data
Develop State Matrix
Filtered State
Matrix w/ Key
Indicators
Visualize
Correlations
Refine State Matrix
Develop Predictive
Models
Validate Predictive
Model
Deploy Model
Generate Alerts &
Task Orders
Load ERP Data
EXTERNAL SYSTEM DATA LAKE SAP HANA SAP APPLICATIONS

Next Steps
Learn More
• Hortonworks.com/partners/sap
Download the Hortonworks Sandbox
• Hortonworks.com/sandbox
Attend the Open Enterprise Hadoop Roadshow
• info.hortonworks.com/HadoopRoadshow

Thank You

This presentation contains forward-looking statements involving risks and uncertainties. Such
forward-looking statements in this presentation generally relate to future events, our ability to
increase the number of support subscription customers, the growth in usage of the Hadoop
framework, our ability to innovate and develop the various open source projects that will
enhance the capabilities of the Hortonworks Data Platform, anticipated customer benefits and
general business outlook. In some cases, you can identify forward-looking statements because
they contain words such as “may,” “will,” “should,” “expects,” “plans,” “anticipates,” “could,”
“intends,” “target,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential” or
“continue” or similar terms or expressions that concern our expectations, strategy, plans or
intentions. You should not rely upon forward-looking statements as predictions of future events.
We have based the forward-looking statements contained in this presentation primarily on our
current expectations and projections about future events and trends that we believe may affect
our business, financial condition and prospects. We cannot assure you that the results, events
and circumstances reflected in the forward-looking statements will be achieved or occur, and
actual results, events, or circumstances could differ materially from those described in the
forward-looking statements.
The forward-looking statements made in this prospectus relate only to events as of the date on
which the statements are made and we undertake no obligation to update any of the
information in this presentation.
Trademarks
Hortonworks is a trademark of Hortonworks, Inc. in the United States and other jurisdictions.
Other names used herein may be trademarks of their respective owners.

SAP Design Studio

SAP BusinessObjects Design Studio Release
Design Beautiful, Responsive & Personalizable BI Apps
Drag & Drop Powerful
Visualizations and
Controls: Tables,
Charts, Geo Map,
Filters, Graphics, Icons
etc.
Personalized Online
Composition for End-Users
Access Enterprise Data
Sources: BW, HANA, UNX,
ESP Event Streaming
State of the art
HTML5 Rendering
& Mobile Support
Standard Apps
for Analysis,
Planning, Data
Exploration, Self-
ServiceFull OLAP & Planning
Support, Dashboards
Rapid Prototyping with
Offline Data (CSV)

How IT and Business Users use Design Studio
IT
LOB
Corporate
Analytic
Applications
Corporate
Analytic
Applications
Create & Deploy
Modify (optional)
Deploy
Design Studio Technology
Design Studio design tool (Eclipse)
Design Studio app (HTML5)
Design Studio bookmark (HTML5)
DESIGN STUDIO
Standard Apps for Analysis,
Exploration & Self-Service
Dashboards
Standard Apps
(out-of-the-box)
Analyze, Explore, Re-Compose,
Personalize & Share
Custom Apps
Personal Views &
Self-Service
Dashboards

 Includes:
– Menu
– Filter Area
– Navigation Area
– Setting Area for chart and table
– Data Area including table view, chart view and
table/chart view
– Action Area
 New components
– Data Connection
– New Navigation Panel
– Filter Line
– Chart Type Picker
– Enhanced Context Menu
– Enhanced Bookmark functionality
Menu
Filter Area
Navigation Panel
Settings for charts /
table
Action Area

Analyze data, and gain insight with visualizations
• Filter data on the dimensions
• Full pivot table experience
• Visualize data with BW hierarchies
• Use standard context menu
• Use report-report interface / open doc
• Create different visualizations for story
composition
• Visualize several datasources and display them in
one story
Compose a story to share with others
• Save to the BI Platform with document level
security
• Share a PDF export of a story
• Share a URL link to the story

Example: Data Exploration & Visualization App
Analyze data, and gain insight with visualizations
• Filter data on the dimensions
• Full pivot table experience
• Visualize data with BW hierarchies
• Use standard context menu
• Use report-report interface / open doc
• Create different visualizations for story
composition
• Visualize several datasources and display them in
one story
Compose a story to share with others
• Save to the BI Platform with document level
security
• Share a PDF export of a story
• Share a URL link to the story

Example: Data Exploration & Visualization App
Web&MobileMicrosoftOffice
Design Studio
• Professional Environment for Designers &
Developers to Create Purpose-Built Apps
Planning Support
• Mobile Support
• SDKs
• Standard Apps & Templates
• Robust & Enterprise Ready
Analysis, Edition for Microsoft Office
• IT / Developers, Data Analysts, Business Users
• Excel-based Analysis & Planning
• Integrated Roadmap with EPM Excel Client
• PowerPoint Integration
• Trusted Data Discovery with BW workspaces
Design Studio & Lumira
• Lumira Desktop: BW Data Acquisition
• Standard Design Studio Apps for
• Self-Service Data Analysis
• Data Exploration & Visualization
Analytical Applications on BW AdHoc Analysis on BW

SAP BusinessObjects Design Studio Release 1.6
Design beautiful, responsive & personalizable BI Apps
End User Analysis
• Drag & Drop in Crosstab
• Custom Measures
• Top N Filters
• Planning Grid with Copy
& Paste
• Chart Customizing
Application Building
• New and improved
components
• Rapid Prototyping with
offline data (CSV files)
• Fiori component library
• Designtime Usability
Improvements
New and Improved
Components
• Geo map
enhancements
• New chart types and
options
• Table (for dashboards /
scorecards)
• Icons and graphics
library
• Planning Grid
• Others, e.g. Timer, Tree
Platform & Standards
• Extended data limit for
UNX connectivity (20K
rows)
• Support of multi-source
UNX
• Right-to-Left Support

THANK YOUTHANK YOU

Learn Everything About Lumira & Try For Free – www.saplumira.com
Connect with community experts
BI – scn.sap.com/community/business-intelligence
Lumira – scn.sap.com/community/lumira
Data Genius Challenge – https://ideas.sap.com/DataGenius
Download the Statement of Direction for SAP BI Solutions – http://spr.ly/BI_SOD
Increase the Value of Your BI Investment – www.sapbi.com
Watch SAP Analytics Customer Stories – www.SAPAnalyticsStory.com
Online Resources

#askSAP Analytics Innovations Community Call: Delivering Big Data Inisghts with Dashboards and Visualizations

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