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Self-Service Data Discovery for Business Users and Analysts Using SAP Lumira Eamon IdaSAP
“WebIntelligence provides end users with self-service access to data stored in data warehouses, data marts, and packaged business applications (such as SAP R/3). Using WebIntelligence, end users can autonomously access these data sources without having to submit development requests to IT.”
First WebIntelligence press release; December 22, 1997
IS BI ADOPTIONSTILL A CHALLENGE?
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 5
BI Adoption Rate Among Knowledge Workers: Is It?
35% 50% 75%
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Quite High …
of
Knowledge Workers Have Access or Utilize BI/Analytics
Source: Information Week; Doug Henschen; 2012 BI and Information Management Trends; November 2011
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Areas Making Huge Progress
Source: Information Week; Doug Henschen; 2015 BI and Information Management Trends; December 2014
Which of the following users have access to or utilize analytics and BI today (2014)?
61%
ITManagement
52%
C-Level Corporate Executives
68%
Business Analysts
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Areas Still Lagging
Source: Information Week; Doug Henschen; 2015 BI Survey; December 2014
Which of the following users have access or utilize BI/analytics today (2014)?
18%
Customer-ServiceReps
19%
Sales force
9%
AllEmployees
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User Satisfaction
“Satisfied” or “Very Satisfied”
38%
ProductDevelopment
36%
Marketing
39%
Operations
41%
LOB Mgmt
1: Somewhat Unsatisfied or Not Satisfied
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 10
Not Taking Advantage of Available Data …
Base: 330 global enterprise BI decision makers; Source: A commissioned study conducted by Forrester Consulting on behalf of SAP.
THE BI SPECTRUM: KNOWN VS. UNKNOWN
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Standard Reports
Ad hoc Reports
OLAP & Visualization
Dashboards& Scorecards
Exploration& Visualization
Value
Predictive Modeling
Traditional Self-Service BIAnswers Known Questions
Org
aniz
atio
nal &
Com
petit
ive
Impa
ct
The BI Spectrum: Known vs. Unknown
Self-Service BIAnswers Unknown Questions
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An Example: Visualize GDP Data in the Cloud
visualizing.org
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Why Visual Discovery?
Source: Aberdeen Group, 2011
85%Visual Discovery Users
77%Others
Timely Access to Information1
Others
726Visual Discovery Users
440
Leveraging Scarce IT Resources12
1: Users per supporting full-time equivalent
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Avoiding the Traditional Timeline
Days to add columnto report8
Days to build a newdashboard30
Source: Data provided by Aberdeen Group, 2012
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Your Brain Is Wired for Visuals
30% Cortex devoted toneurons processing visuals
65% Information remembered by people72 hours after exposure whena picture is added
150ms Time it takes for the human visual system to process a complexnatural image
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Numerical Description
Visuals Convey Knowledge
North South East West
Q1 $10,000 $12,500 $15,000 $12,000
Q2 $11,000 $11,500 $3,000 $12,000
Q3 $10,000 $12,000 $23,000 $12,500
Q4 $15,000 $11,500 $4,000 $12,000
What quarter was our best last year? In Q4 what region did not as well as the others?
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Visuals Convey Knowledge (cont.)
Visual Description
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Visual Representations of Information Tell Stories …
Source: Wikipedia; http://en.wikipedia.org/wiki/Charles_Joseph_Minard
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The Smart Phones Story
Source: Rafael Zanetti; http://scn.sap.com/community/lumira/blog/2013/09/04/analyzing-smartphone-platforms-sales-per-quarter
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 21
The Story of How Effective a Public Investmentin Tertiary Education Is in the USA
Source: Viusalizing.org and OECD;
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The Story on When to Post Tweets About Your SCN Blog
Source: Robert Russell; http://scn.sap.com/community/lumira/blog/2013/08/14/data-geek-challenge-analysing-the-scnblogs-twitter-timeline
SAPSELF-SERVICE
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On Premise In The Cloud On Mobile
SAPLumira Cloud Mobile
SAP Lumira,Server
SAPLumira, desktop
Search
Explore
Share
Acquire
Transform
Visualize
Enterprise Information
Assets
Local
View
SAP Lumira,Edge Edition
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WITH SAP LUMIRA,YOU …
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Local
View
Spend more time on analysis, less on
data manipulation
Let visualizations tellthe story behind
the data
Quickly connect toall the data you need –
big and small
Unlock the power of your data without adding toyour IT staff workload
With SAP Lumira, You …
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Connect to All the Data You Need
Data sources available CSV and Excel files Clipboard Data SAP HANA and Hadoop RDBMS through JDBC (free-hand SQL) Universes 3.x and 4.x. Query with SQL SAP Business Warehouse
Acquisition of data (HANA,universes, databases) requires user authentication
Data is stored locally in an optimized In-Memory data engine for performance and offline access
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Data Access
Select source
Select data – optional
If data volume exceeds 30 million cells warning prompted
Data loaded into document
SAP HANA Online
Visualize data
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Mash Up Data to Get the Complete Picture
Merge data from different data sets based on common
values
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“TECHNOLOGY MAN, ALL THIS LITTLE STUFF INTERRUPTSMY CHAIN OF THOUGHT”
SONNY ROLLINS
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Stay “In Flow”
More timefor analysis
Repetitive tasksare automated
No code orscripting required
SELECT *
FROM widgets
WHERE price-sold >10.00
ORDER BY stores;
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Enrich Your Data Sets Automatically
Numeric columns are enriched as measures
Date/Timestamps columns are suggested as dates
All Geographicdimensions are detected
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Show the “Where” of Your Data
Based onnames
Based on latitude and longitude coordinates
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Transform Data Dynamically
Flexibletext, date, arithmetic and
conditional formulas See what is possible with contextual suggestions
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Let Beautiful Visualizations Tell the StoryBehind the Data
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Ease of UseDrag-and-Drop Data Exploration with Native HTML5
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Best-in-Class Visualizations Anywhere
Delivering storytelling
with infographics
On premise In the cloud
On any device
Example 1 Example 2
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Ease of Use Visualization Builder
Visualization Gallery
Chart Family
Feeder Pane
Chart Body
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Ease of UseSwipe, Tap, Zoom to Answers on Mobile
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 40
Sharing Insights with Others
Share visualizations and data sets on premise (BI suite, Lumira Server, and SAP HANA) and
in the cloud (SAP Lumira Cloud)
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Sharing with Others Using the Cloud
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 42
Trusted Data DiscoverySAP BI 4.1 - Lumira Server integration
Governed, administered, securedusing your BI 4.1 investment (add-on for SAP Lumira)
Publish datasets & stories fromSAP Lumira (desktop)
Consume from the BI launch pad
Manage from the central management console (CMC)
Refresh and schedule .unx-based data
BI 4.1 SP03 contains required node (with the required HANA technologies)
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 43
3 Data Workflows for SAP Lumira Server
Lumira Datasets(real-time or static)
Lumira Stories
SAPLumira
SAP HANAStudio
① ②
③
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DEMO
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Get
StartedLearn about Lumira1
Try it for freesaplumira.com
2
Try it with your data3
WRAP-UP
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Where to Find More Information
Blog – blogs.sap.com/analytics
Videos – www.youtube.com/playlist?list=PL8FF03148AD0742B1
Twitter – #saplumira
Download – www.saplumira.com
Web – www.saplumira.com
SCN – scn.sap.com/community/lumira
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 48
7 Key Points to Take Home
Better-performing organizations have deployed data visualization solutions
Our brains are wired for visuals: maximize knowledge with a combination of visual insights and granular details
SAP Lumira helps connect individuals to information to improve decisions and business performance
SAP Lumira, desktop is for Business Analysts who want to spend more time on analysis, less on data manipulation
SAP Lumira, Edge edition is a great way for teams and departments to perform data visualization and discovery
View, explore, and understand data via your mobile device
Increase self-service data usage without adding to your IT department’s workload
© 2015 SAP SE or an SAP affiliate company. All rights reserved.
Thank You!
Contact information:Eamon [email protected]
www.saplumira.com
www.youtube.com/playlist?list=PL8FF03148AD0742B1
#saplumira / @sapanalytics
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© 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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