Post on 16-Jul-2015
Timo Elliott, Innovation Evangelist, SAP
Data
Visualization
@timoelliott
What Is An
Evangelist?
The Greek word εὐαγγέλιον (latinized to Evangelium) originally meant a reward given to the
messenger for good news (εὔ = "good", ἀγγέλλω = "I bring a message“)
3© 2015 SAP SE or an SAP affiliate company. All rights reserved.
Proudly Selling 3D Pie Charts for 20+ Years!
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 4
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 YOUI!
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 5
Biggest Barriers to Business Intelligence
51%48%
44%
Data QualityProblems
Ease of Use Integration ofdifferent systems
43%
37% 36%
It is difficult todetermine if
information isaccurate
It takes a long timeto find information
Information isstored in ways that
makes it hard tofind
20152003
Sources: InformationWeek Survey 2015, BusinessWeek Survey, 2003
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 6
Plus Ça Change…
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 7
Use Analytics
Today
Need
Analytics
by 2020Gartner, 2014
Analytics is Still Hard!
Inability to see, understand, and
optimize new opportunities
Inaccessible data
and technologyInsights remain hidden
Complexity, cost, confusionSilos of approaches and
analytic technologies
75%
10%
Slow decision making
lacking future view
Rear view mirror
BI mentality
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 8
Data Visualization
An example
of a poor
data-oink
ratio?…
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 9
Proportion Analytics Success Depends On:
Data quality, data
integration, metadata
management, ease of
use, user training,
analytic processes,
information culture, etc.
Not using 3D pie
charts
Note: data completely made up – like most powerpoint charts
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 10
Flashy graphics can make useful sales tools early
on in the lifecycle of rolling out data visualization —
but encourage best practice as soon as possible
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 11
clouddata
mobile
MORE!
competition
speed
social
connected
There’s Been An Explosion of New Technology
Means new
opportunities…
12© 2015 SAP SE or an SAP affiliate company. All rights reserved.
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
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 13
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
BIG
DATADATA
SCIENCE
DATA
DISCOVERY
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 14
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
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 15
Potential impact
per user
Potential user
base
The Rise of the Citizen Data Scientist
Business
analyst
Data
scientist
Citizen data
scientist
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 16
The Opportunity*
New Business Opportunities
Traditional Analytics
Data
Value
Volume / Variety / Velocity of Data
“Big Data Discovery”
Data Discovery
Big Data
Data Science
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 17
Our Opportunity
Big Data
Discovery
SAP HANA
(+ Hadoop etc.)
SAP Predictive
Analytics 2.0
SAP Lumira
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 18
Data Discovery
The revenge of the full client
SAP Lumira
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 19
We Need Self-Service Data Preparation
Access Enrich Calculate & Correct Merge
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 20
We Need To Fluidly Explore And Interact With Data
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 21
We Need More Than Just Pie And Bar Charts
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 22
Integrated 3D Visualization
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 23
We Need Mobile
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 24
We Need To Tell Stories
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 25
Doctors Without Borders
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 26
We Need Predictive Analytics
A new generation of more user-friendly predictive technology
SAP Predictive Analytics
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 27
Vodafone Netherlands
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 28
We Need Support For Teams
SAP Lumira Edge
SAP Lumira Server
© 2014 SAP AG. All rights reserved. 29
We Need Cloud
cloud.saplumira.com
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 30
30
Agile Visualizations and Lumira Cloud
to identify and track potential sales for
dealers
Combine sales, vehicle registrations
and industry failure data
Over 200 dealers by the end
of the year
Why?
Performance
No infrastructure to maintain
Daimler Trucks
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 31
DEMO
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 32
We Need Dashboards
Let users drag and drop
their self-service data
visualization into
corporate dashboard
templates
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 33
We Need Analytic Applications
With the ability to “take action” by writing back to operational systems
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 34
We Need To Support The Analytics Lifecycle
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 35
We Still Need Reporting and Dashboards
18%
19%
25%
35%
53%
69%
Query & Analysis
Data Discovery
Alerts
Dashboards
Reports
Spreadsheets
Source: InformationWeek BI Survey 2015
To what extent are the following technologies used to share analytic and BI insights in your organization?
Used extensively:
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 36
We Still Need Industrial Scale BI and Reporting
Where did
that number
come from?!Why all these
information
silos?!
What about
security and
administration?!
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 37
Breathing New Life Into Enterprise Query & Reporting
Simplify
Enhance
Extend
Mobile
Cloud
Big Data BI
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 38
We Need To Have Full-Cycle Analytics
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 39
Cloud-Based Planning
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 40
We Need One Platform With Many Workloads
Transactions Streaming Predictive Text MiningAnalytics Spatial
Mobile Analytics Collaboration IntegrationPortal Security
Core Services (data ingestion, federation, etc) — Cloud AND On-Premise
© 2015 SAP SE or an SAP affiliate company. All rights reserved.
Thank you!
telliott@timoelliott.com
web site
Timo.Elliott@SAP.com