Post on 04-Aug-2015
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Driving breakthrough Business Innovation with Big Data AnalyticsTimo ElliottVP, Global Innovation Evangelist
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Analytics Takes Over The World…
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88%
How Do Executives Make Decisions?
Aspect Consulting, 1997
12%Hard Facts
Gut Feel
90%
10%Hard Facts
Gut Feel
Economist Intelligence Unit, 2014
Why the worst-practice shaded 3D donut charts? JUST TO ANNOY DATA VISUALIZATION EXPERTS!
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Plus Ça Change…
Petabytes
DataScientists
+ IoT
Big Data
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Big Data On The Gartner Hype Cycle
Source: Gartner, August 2014
Innovation trigger
Peak of Inflated Expectations
Trough of Disillusionment
Slope of Enlightenment
Plateau of Productivity
Big Data
In-Memory Analytics
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Benefits from Big Data Initiatives
#5 Identified new product opportunities (6%)
#4 More reliable decision making (9%)
#3 Improved operational efficiency (11%)
#2 Identified new business opportunities (31%)
#1 “DON’T KNOW” (51%)
Source: Information Difference Research Study Dec 2013: “Big Data Revealed”
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Use AnalyticsToday
NeedAnalytics by 2020
Gartner, 2014
The Opportunity
Inability to see, understand, and optimize new opportunities
Inaccessible dataand technology
Insights remain hidden
Complexity, cost, confusionSilos of approaches and
analytic technologies
75%
10%
Slow decision making lacking future view
Rear view mirrorBI mentality
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Predicting Prescriptive Analytics
Descriptive:What happened?
Diagnostic:Why did it happen?
Predictive:What will happen?
Prescriptive:How can we make it happen?
Taking Analytics To The Next Level
Hindsight Insight Foresight
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Tweeting Sharks!
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Drones
DATA SCIENCE
QUIZ.
These numbers were found in two tax declarations. One is entirely made up. Which one?
EUR
127,-2.863,-
10.983,-694,-
29.309,-32,-
843,-119.846,-18.744,-
1.946,-275,-
EUR
937,-82.654,-18.465,-
725,-98.832,-
7.363,-4.538,-
38,-8.327,-
482,-2.945,-
1 2 3 4 5 6 7 8 9
30.1%
17.6%
12.5%
9.7%7.9%
6.7%5.8% 5.1% 4.6%
Benford’s LawDistribution of the first digit of real-world sets of numbers that uniformly span several orders of magnitude
DATA SCIENCE
QUIZ.
These numbers were found in two tax declarations. One is entirely made up. Which one?
EUR
127,-2.863,-
10.983,-694,-
29.309,-32,-
843,-119.846,-18.744,-
1.946,-275,-
EUR
937,-82.654,-18.465,-
725,-98.832,-
7.363,-4.538,-
38,-8.327,-
482,-2.945,-
Benford's Law, also called the First-Digit Law
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1999 to 2009
“Greece shows the largest deviation from Benford’s law with respect to all measures. [And] the suspicion of manipulating data has officially been confirmed by the European Commission.”
Fact and Fiction in EU-GovernmentalEconomic Data, 2011
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Transport For London
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Centerpoint Energy
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Finance & Analytics
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Finance & Analytics: It’s Déjà Vu All Over Again
CloudAny Device
SocialCollaboration Big Data
EnterprisePerformanceManagement
Governance,Risk, and
Compliance
Discover
Inform
Anticipate Plan
BusinessIntelligence
PredictiveAnalytics
Real-timeBusiness
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Is This Your Finance Team?
"With 90% certainty, here’s where we closed last month…"
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Finance wants to be a business partner.
And that requires better, more forward-looking data.
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Big Data Discovery
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Big Data Discovery =
Big Data
Data Discovery
Data Science
Gartner Strategic Planning Assumption: By 2017, Big Data Discovery Will Evolve Into a Distinct Market Category
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Big Data Discovery
• Volume, velocity, or variety of data
• Potential business impact
• Difficult to implement• Potentially expensive• Lack of skills available
• Ease of use• Agility and flexibility• Time-to-results• Installed user base
• Complexity of analysis
• Potential impact• Range of tools• Smart algorithms• Difficult to implement• Slow and complex• Narrow focus of
analysis
• Limited depth of information exploration
• Low complexity of analysis
BIGDATA
DATASCIENCE
DATADISCOVERY
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Big Data Discovery
• Simpler to use than data science
• Accessible to a wider range of users
• Broad range of data manipulation features
• Able to handle new types of data sources
• With adequate performance for big data
BIG DATA
DISCOVERY
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Potential impact per user
Potential user base
The Rise of the Citizen Data Scientist?
Business analyst
Data scientist
Citizen data scientist
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Citizen Data Scientists
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The Opportunity
New Business Opportunities
Traditional Analytics
Data Value
Volume / Variety / Velocity of Data
“Big Data Discovery”
Data Discovery
Big Data
Data Science
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SAP’s Opportunity
Big Data
Discovery
SAP HANA (+ Hadoop etc.)
SAP Predictive Analytics 2.0
SAP Lumira
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The Dashboards of Yesterday And
Tomorrow
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“Intricate calculations of sales by territories will appear as if by magic in the digital age ahead”
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Decision Cockpits
Boardroom Redefined
Source:In-Memory Data Management: An Inflection Point for Enterprise Applications. Hasso Plattner Alexander Zeier
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The New Multi-Polar World of Analytics
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In-Memory Maturity
Data from 245M customers/week, 11,000 stores under 71 banners in 27 countries and e-commerce websites in 11 countries with $482.2 Bn sales and 2.2M employees.• Full in-memory system• 250 Bn rows of data• 94% of queries run < 2s• >1,000 concurrent users even
under heavy loads • Data load throughput >20 million
records/hour
Suja ChandrasekaranCTO of Walmart Technology
e.g. Wal-Mart’s Data Café (“Collaborative Analytics Facilities for Enterprise”)
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The End of the Hadoop Honeymoon?
“Despite considerable hype and reported successes for early adopters, only 18% have plans to invest in Hadoop over the next two years…. in fact, there are fewer who plan to begin in the next two years than already have.”
Nick Heudecker, research director at Gartner.
SAP HANA Platform
Bringing Enterprise Data to Hadoop and Hadoop Data to The Enterprise
SPATIAL PROCESSING
ANALYTICS, TEXT, GRAPH, PREDICTIVE
ENGINES
CONSUME
COMPUTE
STORAGE
SOURCE
INGEST
Application Development Environment
Transformations & Cleansing
Smart Data IntegrationSmart Data Quality
StreamProcessing
Smart Data Streaming
STREAM PROCESSING
LogsTextOLTP Social Machine GeoERP SensorStore & forward
Mobile applications and BI
Smart Data Access
Virtual Tables
User Defined Functions
101010010101101001110
Dynamic Tiering
Aged datain Disk
In-Memory
Data model& data
Calculation engine
Fastcomputing
Column Storage
High performance analytics
Series Data Storage
Store time-series data
Reporting &Dashboards
High Performance Applications
Data Exploration& Visualization
Adhoc & OLAP Analytics
PredictiveAnalysis
Business Planning & Forecasting Lumira / BI
But there is more work to do…
Hadoop / NoSQL
MapReduce
YARN
HDFS
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The New Multi-Polar World of Big Data Architectures
Data Warehouse
Third-Party Data Feeds
Hadoop,MongoDB,Spark, etc Personal
Data / BI
Where does data arrive?When does it need to move?Where does modeling happen?What can users do themselves?What governance is required?
Big Data Architectures got complicated
What we want — consistent, seamless solution
Hybrid Transaction/
Analytical Processing
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Capability Framework Strategy Summary
Organization & Workforce
Processes & Functions
Architecture
Governance
Strategy
1 2
Target Architecture Transformation Map
3 4
Strategic Advisory Services for Big Data
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Apache Atlas
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Analytics Culture
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Business vs. Corporate IT: “It’s Not You — It’s Your Data”
“We found, on average, that 45% of the data business people use resides outside of the enterprise BI environments.
An astonishingly miniscule 2% of business decision-makers reported using solely enterprise BI applications.
This is undoubtedly connected to 76% of business respondents indicating they continue to resort to spreadsheets and other homegrown BI applications to analyze BI data. ”
Source: Forrester
45%
55%
In enterprise systemsNot in enterprise system
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Are you the taxi company, or Uber?
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Culture: Suits AND Hoodies
Source: Gartner
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Conclusion
Dashboards of Tomorrow
Multi-Polar Analytics
Prescriptive Analytics
Big Data Discovery
Analytics Culture
Finance & Analytics
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“Judge a man by his questions rather than his answers.”Voltaire
“Status Quo is, you know, latin for “the mess we’re in”Ronald Reagan
“Any intelligent fool can make things bigger and more complex. It takes a touch of genius and a lot of courage to move in the opposite direction.”
E.F. Schumacher
Thank You!Timo ElliottVP, Global innovation Evangelist
Timo.Elliott@sap.com @timoelliott