Short Presentation Titletimoelliott.com/blog/docs/ukisug13.pdf · Unlocking the value of “Dark...
Transcript of Short Presentation Titletimoelliott.com/blog/docs/ukisug13.pdf · Unlocking the value of “Dark...
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Analytics Keynote
“73% of keynote speakers know that the best way to get anaudience’s attention is to present a useless factoid”
Timo Elliott, Innovation Evangelist, SAP
@timoelliott
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Questions!
QuestionRater.com/ukisug13
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© 2013 SAP AG. All rights reserved. 3
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© 2013 SAP AG. All rights reserved. 4
“Every company is an IT company,every budget is an IT budget”
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© 2013 SAP AG. All rights reserved. 5
SMAC* Down!*Social, mobile, analytics, cloud
“The real and virtual world will be one, consumer IT andorganizational IT will be one”
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© 2013 SAP AG. All rights reserved. 6
What Should You Do?
DIGITALIZEBUSINESSPROCESSES
PURSUEDIGITALBUSINESSMODELS
COMPETE FORBUSINESSMOMENTS
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© 2013 SAP AG. All rights reserved. 7
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© 2013 SAP AG. All rights reserved. 8
YASOHMDTIITW*
Bit, Byte, Kilobyte, Megabyte,
Gigabyte, Terabyte, Petabyte,
Exabyte, Zettabyte, Yottabyte….
* Yet Another Slide On How Much Data There Is In The World
Brontobyte or Hellabyte
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© 2013 SAP AG. All rights reserved. 9Public
Information becomes what you sell…
ii i
BusinessownershipBusinessownership
ITownership
ITownership
HBR: “Analytics 3.0”
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Descriptive:What happened?
Diagnostic:Why did it happen?
Predictive:What will happen?
Prescriptive:How can wemake it happen?
Analytic maturity
HindsightHindsight InsightInsight ForesightForesight
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© 2013 SAP AG. All rights reserved. 11Public
No Analytics? Welcome to the HIPPO
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Nucleus Research, Gartner, Fortune Magazine Forrester Research
Unlocking the value of “Dark Data”
10%
75%
Use AnalyticsToday
NeedAnalyticsby 2020
Ability to manage andconsume all data isgetting harder
Not utilizing allthe information
out there
Not leveraging the power ofcollective insight
Missing newinsights
IT is not agile enoughand the business wantsto get involved
=On average, companies only use 12% of their data.
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“Big Data”
Transactions,Interactions,Observations
Transactions,Interactions,Observations
Map Reduce/ Hadoop / NoSQL
Map Reduce/ Hadoop / NoSQL
Data ScientistsData Scientists
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© 2013 SAP AG. All rights reserved. 14
Big Data Enterprise Data Warehouses
Scott Sandford,NASA Ames
Research Center
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© 2013 SAP AG. All rights reserved. 15Public
Slide by Mark Madson, Third Nature Inc
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Google Spanner
“NoSQL” is out, “NewSQL” is in…
“Data is stored in schematized semi-relationaltables… Spanner supports general-purposetransactions, and provides a SQL-based querylanguage”
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© 2013 SAP AG. All rights reserved. 17
Imagine if Your Apps Looked Like a DW to BI Tools
SAP HANA
SAP HANALive
(VirtualData Model)
CustomerService
Risk ManagementTeam
Finance andOperations
AccountAdministration
ExecutiveManagement
Customers Channel Suppliers Accounting ForecastingInventory Products Pricing Planning
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© 2013 SAP AG. All rights reserved. 18
Data Warehouse? Yes, But “Logical”
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Real-Time Data Processing PlatformFewer Layers Same Core Data Simpler Landscape
Analyze &Transact inReal-time
Spec
ialty
Anal
ytic
Dat
abas
es
Trad
ition
alD
atab
ases
&So
lutio
ns SAP RTDPTransact
Analyze
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Edward James Snowden
Edward Joseph Snowden
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© 2013 SAP AG. All rights reserved. 23Public
Information Steward 4.2
Data Quality Advisor
Assess Recommend Tune
Data Profiling
Content TypeDiscovery
Validation Rules
Cleansing Rules
Match Rules
View Before /After Results
Fine Tune WithWhat-If Analysis
Publish Rules
Redundancy Profiling
Address ProfilingValidate address data
Dependency ProfilingIdentify attribute-levelconnections in data.(Normalization rules practice)
Redundancy ProfilingIdentify degree of duplication
Uniqueness ProfilingIdentify non-unique data
Drill down toduplicate andnon-duplicate
records
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© 2013 SAP AG. All rights reserved. 24
KPIs Drive Behavior
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© 2013 SAP AG. All rights reserved. 25
But It’s Not About Technology
“The stone age wasmarked by man's cleveruse of crude tools; theinformation age, todate, has been markedby man's crude use ofclever tools.”
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© 2013 SAP AG. All rights reserved. 26
People Are The Most Important “Technology”It takes expertise and creativity to turn technology into business innovation
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80% of CEOs think they deliver a superior customerexperience
Source: The New Yorker
-- but only 8% of customers agree.
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© 2013 SAP AG. All rights reserved. 28
Engage Your Fans Does This Apply To You?
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© 2013 SAP AG. All rights reserved. 29
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© 2013 SAP AG. All rights reserved. 30
Add Customer Value in Real-Time
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© 2013 SAP AG. All rights reserved. 31
Optimize The Customer Experience With“Playnomics”
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© 2013 SAP AG. All rights reserved. 32
Perfect Your Pricing and Packaging
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© 2013 SAP AG. All rights reserved. 33
Help Your Partners Sell More
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© 2013 SAP AG. All rights reserved. 34
Make Yourself Invaluable
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© 2013 SAP AG. All rights reserved. 35
Give Your Executives Deep Visibility
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© 2013 SAP AG. All rights reserved. 36
“Data-driven decision makingplayed a huge role in creating asecond term for the 44thPresident. In politics, the era of bigdata has arrived.”
- Time Magazine
Engage Your Fans
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© 2013 SAP AG. All rights reserved. 37
Track Who Likes Your Products (And Why, AndWhen…)
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© 2013 SAP AG. All rights reserved. 38
Track Your Sports Stars
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© 2013 SAP AG. All rights reserved. 39
Engage Your Students
“In the past five years, taxpayers havespent $9Bn on college students whodrop out before year two”
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© 2013 SAP AG. All rights reserved. 40
Learn Then Act“Saving 1% in Student Retentioncan save my University’s bottomline $1M a year”
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By 2017, there will be close to $11 Billion in revenue from35-million homes using home automation platformsacross the globe.
Source: GIGAom, 2013
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Wearable devices have grown by 2x month over monthsince October 2012.
Source: Mary Meeker’s Internet Trends, 2013
Photo: Intel Free Press
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© 2013 SAP AG. All rights reserved. 43
“We’ll put morecomputers in ourlaundry in a weekthan we’ve used inour lifetime so far”
Gartner
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© 2013 SAP AG. All rights reserved. 44
The “Datification” of Daily Life
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© 2013 SAP AG. All rights reserved. 45
The “Datification” of Daily Life
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© 2013 SAP AG. All rights reserved. 46
The “Datification” of Daily Life
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© 2013 SAP AG. All rights reserved. 47
The “Datification” of Daily Life
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© 2013 SAP AG. All rights reserved. 48
The “Datification” of Daily Life
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© 2013 SAP AG. All rights reserved. 49
Never Lose Anything Again
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© 2013 SAP AG. All rights reserved. 50
Track Your Health
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© 2013 SAP AG. All rights reserved. 51Public
You Are Being Watched
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© 2013 SAP AG. All rights reserved. 52Public
Is Your TV Spying On You?
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© 2013 SAP AG. All rights reserved. 53Public
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© 2013 SAP AG. All rights reserved. 54
Discover Hidden Trends
54
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© 2013 SAP AG. All rights reserved. 55
Optimize Maintenance
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© 2013 SAP AG. All rights reserved. 56
Aggregate Insights
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© 2013 SAP AG. All rights reserved. 57
Faster Iterations
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© 2013 SAP AG. All rights reserved. 58
Experience IntelligenceCenter
Event InterceptionBusiness Transformation
Make People Happy
S1
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Slide 58
S1 I818297, 09/06/2010
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© 2013 SAP AG. All rights reserved. 59
Make People Happy
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© 2013 SAP AG. All rights reserved. 60
Develop Your Data Scientists
Kaoru Kawamoto – Japan’s First “Data Scientist of the Year”
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What, When, and Where
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© 2013 SAP AG. All rights reserved. 62
Custom Visualization With Lumira
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© 2013 SAP AG. All rights reserved. 63
Lumira and Visual Enterprise
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Mapping As New Analytical Tool (ESRI)
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© 2013 SAP AG. All rights reserved. 65
Do Everything Faster
~$645kin annual labor costsavings
2 daystime saved inmonthly financialclosing
25x fasterin data extraction,processing andloading times
2
"CFOs can press a button at any timeand see what the month end is goingto look like“
Ignacio Garcia
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Collaboration In Business Workflows
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Mapping stores on STM linesand stations
• STM Partners’ stores.
Create a Commerce Eco-System
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© 2013 SAP AG. All rights reserved. 68
• Interact with consumer in the field• Run mobile marketing campaigns based
on consumer profile and location
• Interact with consumer in real-timeanywhere, anytime.
• Design & run mobile marketing campaignsbased on consumer profile and location
• Analyze consumer behavior in the field
Create a Commerce Eco-SystemA platform for real-time interactivity between consumers, STM and partners
SAP Precision Retailing(On-Demand, Multitenant, High Performance, Scalable)
• Receive information, discounts &Special offers
BI
CRM
Merchants
Outings
Transports
Partners
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© 2013 SAP AG. All rights reserved. 69
A Personalized, Multi-Vendor Customer Experience
Valid at this time
For my profile(segments)
In the store(s)nearby
Eligible offers
Top x
What time is it ?Where am I?
What is my personal profile?What is my CRM profile?
Select Rate & Order Deliver & Learn
What are my preferences ?Where am I?
What is my personal profile?What is my CRM profile?
The rating is based on thelearning engine and on thecharacteristics of the shoppingcontext, the consumerpreferences, and the frequencyof presentation.
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© 2013 SAP AG. All rights reserved. 70
Business Networks = information Networks
SuppliersBuyers
ProcurementSales
FinanceLogistics
Supply ChainSustainabilityCompliance
Partners
Ariba Network
More than 1M suppliers inmore than 190 countriesaround the world
Transact with suppliers – theNetwork handles over $460billion per year in commerce
Reduce supply costs –customers save a combinedtotal of $82M daily
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© 2013 SAP AG. All rights reserved. 71
Adapting to The New World of Analytics
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© 2013 SAP AG. All rights reserved. 72
City Year, ASUG Dev Wars
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© 2013 SAP AG. All rights reserved. 73
Data Geek Challenge: sap.com/datageek
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Unleashing the Power of Collective Insight
Instantly predict market trends andcustomer needs and innovate newproduct and services quicker
Predict demand or supply across yourentire Supply Chain immediately
Provide exactly the right offers andservice levels to every customer
Understand what your customers &potential customers are saying aboutyou, right now
Imagine the potential…
ENGAGE PREDICTVISUALIZE
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© 2013 SAP AG. All rights reserved. 75
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© 2013 SAP AG. All rights reserved. 76
Directions
DECISIONMAKERDESIGNER
ANALYST
Explore Monitor
Design
Govern DATA Enrich Explain
Plan People
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Analytics solutions from SAP
AgileVisualization
AdvancedAnalytics
Big Data
Mobile
Collaboration
Cloud
EnterpriseBusiness Intelligence
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Innovation And Design Thinking
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Questions!
QuestionRater.com/ukisug13
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© 2013 SAP AG. 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 AG.The information contained herein may be changed without prior notice.
Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors.
National product specifications may vary.
These materials are provided by SAP AG and its affiliated companies ("SAP Group") for informational purposes only, without representation orwarranty of any kind, and SAP Group shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP Groupproducts and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothingherein should be construed as constituting an additional warranty.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG inGermany and other countries.Please see http://www.sap.com/corporate-en/legal/copyright/index.epx#trademark for additional trademark information and notices.
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Wikipedia
Local experts EncyclopediaBritannica
Encarta
Network of TruthAnalogy – Encyclopedias
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Business Intelligence Timeline
84
2000-2005 2005-2010 2011
No BI strategy
• No real BI strategy
• IT left to prioritize
• Multiple versions of thetruth
One truth
• VELUX Performance model
• Standard reporting
• One truth
• Anchoring in finance
Future vision
• Extend reporting to moreusers
• Redefine our own role
• More end user flexibility
VELUX deployed our first Global BI solution around 2000 together with the first SAPimplementations
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A change in user profiles and patternsOver a period of 7 years we have seen several shifts in our BI user group in VELUX
The shifts seem to happen with shorter and shorter intervals
85
• System Expert• Favored Excel as front
end• Could live with poor
performance• Primarily used data
from SAP
• System Expert• Favored Excel as front
end• Could live with poor
performance• Primarily used data
from SAP
2005”The controller”
• General analyst• Wanted to use web
reports as well• Interested in data from
several sources• Demanded better
performance
• General analyst• Wanted to use web
reports as well• Interested in data from
several sources• Demanded better
performance
2010”The analyst”
• Expecting BI self service• Want’s information on
mobile devices• Not scared of
technology, uses theright tool for the job
• Expecting BI self service• Want’s information on
mobile devices• Not scared of
technology, uses theright tool for the job
2012”You and me”
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© 2013 SAP AG. All rights reserved. 94Public
Advanced Profiling
Redundancy Profiling
Address ProfilingValidate address data
Dependency ProfilingIdentify attribute-levelconnections in data.(Normalization rules practice)
Redundancy ProfilingIdentify degree of duplication
Uniqueness ProfilingIdentify non-unique data
Drill down toduplicate andnon-duplicate
records
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© 2013 SAP AG. All rights reserved. 95Public
Visualization of Data QualityHigh-level balanced Data Quality Scorecard
Dataqualityscore
metrics
Latest qualityscore
Quality trendover time / run
Key QualityDimensions (KPIfor data),customizable
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Business Value AnalysisData Quality Financial Impact Calculator
Connect financial ROI to data qualityand information governance initiatives
Understand and demonstrate how baddata effects business bottom line
Identify potential savings using what-ifanalysis of quality level and costs
See drivers and metrics of financialimpact calculation per failure