See the full recording at info.looker.com/h/i/303281814-wisdom-of-crowds

1. Connect. Describe. Explore.
Wisdom of Crowds WebinarWisdom of Crowds Webinar

2. — This webinar will be recorded
— We will take questions at the end
Welcome & Webinar Overview

3. Russ Garner
Data Analyst
Looker
Howard Dresner
Chief Research Officer
Dresner Advisory
Services
Meet our Presenters

4. Dresner Advisory Services
Wisdom of Crowds®
Copyright 2016 Dresner Advisory Services, LLC
www.dresneradvisory.com

5. Agenda
• Success with Business Intelligence
• State of Data and Action on Insight
• Targets, Objectives & Penetration
• Prioritized Technologies and Initiatives
• Industry Ratings
Copyright 2016 Dresner Advisory Services, LLC

6. Success with Business Intelligence
Copyright 2016 Dresner Advisory Services, LLC

7. Copyright 2016 Dresner Advisory Services, LLC
35%
53%
10%
2%
38%
50%
9%
3%
0%
10%
20%
30%
40%
50%
60%
Successful Somewhat successful Somewhat unsuccessful Unsuccessful
Success with Business Intelligence 2015 - 2016
2015 2016

8. Why BI Succeeds
Copyright 2016 Dresner Advisory Services, LLC

9. Why BI Fails
Copyright 2016 Dresner Advisory Services, LLC

10. The State of Data
Copyright 2016 Dresner Advisory Services, LLC

11. Copyright 2016 Dresner Advisory Services, LLC
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Data as "truth" - A common view of
enterprise data is available with
common application of data, filters,
rules, and semantics.
A common view of enterprise data
is available. However, parochial
views and semantics are used to
support specific positions
Consistent data is available at a
departmental level. Conflicting,
functional views of data causes
confusion and disagreement
We have multiple, inconsistent
data sources with conflicting
semantics and data. Information is
generally unreliable and distrusted
Business Intelligence and The State of Data 2015 to 2016
2015
2016

12. Copyright 2016 Dresner Advisory Services, LLC
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Successful Somewhat successful Somewhat unsuccessful Unsuccessful
Business Intelligence and the State of Data
by BI Success
Data as "truth" - A common view of enterprise
data is available with common application of
data, filters, rules, and semantics
A common view of enterprise data is available.
However, parochial views and semantics are
used to support specific positions
Consistent data is available at a departmental
level. Conflicting, functional views of data
causes confusion and disagreement
We have multiple, inconsistent data sources
with conflicting semantics and data.
Information is generally unreliable and
distrusted

13. Action on Insight
Copyright 2016 Dresner Advisory Services, LLC

14. Copyright 2016 Dresner Advisory Services, LLC
24%
62%
10%
4%
26%
60%
11%
4%
28%
55%
12%
5%
0%
10%
20%
30%
40%
50%
60%
70%
“Closed-loop processes for action” -
Information is shared, teams work
to process and act in a timely
fashion. No formal boundaries
Ad hoc (informal) action on insights
across functions
Uncoordinated/ parochial action
(sometimes at the expense of
others)
Insights are rarely leveraged
Business Intelligence and Action on Insight 2014 - 2016
2014
2015
2016

15. Copyright 2016 Dresner Advisory Services, LLC
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Successful Somewhat successful Somewhat unsuccessful Unsuccessful
Business Intelligence and Action on Insight
by BI Success
"Closed loop" - Information is shared,
teams work to process and act in a timely
fashion. No formal boundaries
Ad hoc (informal) action on insights across
functions
Uncoordinated/ parochial action
(sometimes at the expense of others)
Insights are rarely leveraged

16. User Targets for Business
Intelligence
Copyright 2016 Dresner Advisory Services, LLC

17. Copyright 2016 Dresner Advisory Services, LLC
0%
10%
20%
30%
40%
50%
60%
70%
80%
Executives Middle Managers Line Managers Individual
Contributors and
Professionals
Customers Suppliers
Targeted Users for Business Intelligence 2014 - 2016
2014
2015
2016

18. Copyright 2016 Dresner Advisory Services, LLC
0%
10%
20%
30%
40%
50%
60%
70%
80%
Successful Somewhat successful Somewhat unsuccessful Unsuccessful
Success With Business Intelligence by Targeted Users
Executives Middle managers Line managers Individual contributors & professionals Customers Suppliers

19. Business Intelligence Objectives
Copyright 2016 Dresner Advisory Services, LLC

20. Copyright 2016 Dresner Advisory Services, LLC
0% 20% 40% 60% 80% 100%
Better decision-making
Improved operational efficiency
Growth in revenues
Increased competitive advantage
Enhanced customer service
Business Intelligence Objectives
Critical Very important Important Somewhat important Unimportant

21. Copyright 2016 Dresner Advisory Services, LLC
1
1.5
2
2.5
3
3.5
4
4.5
5
Better decision making
Improved operational
efficiency
Growth in revenues
Increased competitive
advantage
Enhanced customer service
Success with Business Intelligence by BI Objectives
Successful Somewhat successful Somewhat unsuccessful Unsuccessful

22. Business Intelligence Penetration
Copyright 2016 Dresner Advisory Services, LLC

23. Copyright 2016 Dresner Advisory Services, LLC
0%
5%
10%
15%
20%
25%
30%
35%
40%
Under 10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more
Business Intelligence Penetration 2015 to
2016
2015
2016

24. Copyright 2016 Dresner Advisory Services, LLC
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
In 36 months
In 24 months
In 12 months
Expansion Plans for Business Intelligence through
2019
81% or more 61 - 80% 41 - 60% 21 - 40% 11 - 20% Under 10%

25. Copyright 2016 Dresner Advisory Services, LLC
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Successful Somewhat successful Somewhat
unsuccessful
Unsuccessful
Penetration of Business Intelligence Solutions Today
by BI Success
81% or more
61 - 80%
41 - 60%
21 - 40%
11 - 20%
Under 10%

26. Prioritized Technology and Initiatives
Copyright 2016 Dresner Advisory Services, LLC

27. Copyright 2016 Dresner Advisory Services, LLC
0% 20% 40% 60% 80% 100%
Reporting
End user "self service"
Data discovery
Data mining, advanced algorithms, predictive
Data story telling
Mobile device support
Governance
End user data preparation and blending
Software-as-a-service and cloud computing
Ability to write to transactional applications
Big Data (e.g., Hadoop)
Text analytics
Open source software
Cognitive BI (e.g., Artificial Intelligence-based BI)
Internet of things (IoT)
Technologies and Initiatives Strategic to Business Intelligence
Critical Very important Important Somewhat important Not important

28. Copyright 2016 Dresner Advisory Services, LLC
Critical, 40.1%
Very important, 36.4%
Important, 16.8%
Somewhat
important, 5.6% Not important, 1.2%
Importance of Governing BI Content Creation and Sharing

29. Copyright 2016 Dresner Advisory Services, LLC
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Completely successful Somewhat successful Somewhat unsuccessful Unsuccessful
Importance of Governing BI Content Creation and Sharing by Success
with BI
Critical
Very important
Important
Somewhat important
Not important

30. Copyright 2016 Dresner Advisory Services, LLC
0% 20% 40% 60% 80% 100%
Define levels of access to shared documents, data, etc.
Integration with access/identity management systems
Ability to "certify" official versions of shared metadata, data,
etc.
Ability to analyze and audit decision processes
APIs available to program functionality and data/metadata
functions and data
Track usage of models, documents, etc. to streamline/optimize
Support for data lineage and impact analysis
Content check in/out with promote-ability
BI Content Governance Feature Requirements
Not important Somewhat important Important Very important Critical Don't know

31. Copyright 2016 Dresner Advisory Services, LLC
Yes. We use cloud-based
BI/analytics today, 25%
We are currently evaluating
cloud-based BI/analytics
software, 11%
We may use cloud-based
BI/analytics in the future, 26%
No. We have no plans to use
cloud-based BI/analytics at all,
38%
Plans to Use Cloud BI

32. Copyright 2016 Dresner Advisory Services, LLC
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Successful Somewhat successful Somewhat unsuccessful Unsuccessful
Plans to Use Cloud BI by Success with BI
Yes. We use cloud-based BI/analytics today No. We have no plans to use cloud-based BI/analytics at all.
We are currently evaluating cloud-based BI/analytics software We may use cloud-based BI/analytics in the future

33. Copyright 2016 Dresner Advisory Services, LLC
13%
17% 20%
24%
29%7%
6%
6%
9%
9%
8%
6%
6%
10%
9%
73% 71% 68%
57%
53%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2012 2013 2014 2015 2016
Plans for Public Cloud BI 2012 to 2016
No plans
Next year
This year
Today

34. Copyright 2016 Dresner Advisory Services, LLC
0% 20% 40% 60% 80% 100%
Advanced visualization
Ad-hoc query
Personalized dashboards
End-user "self service"
Data integration/data quality tools/ETL
Data discovery
Production reporting
Data mining and advanced algorithms
Search interface
End-user data blending or "mashups"
Location intelligence/analytics
In-memory support
Pre-packaged vertical/functional analytical applications
Collaborative support for group-based analysis
Big data (e.g., Hadoop) Support
Ability to write to transactional applications
Complex event processing (CEP)
Text analytics
Social media analysis (SocialBI)
Cloud BI Feature Requirements
Critical Very important Important Somewhat important Unimportant

35. Industry Ratings
Copyright 2016 Dresner Advisory Services, LLC

36. 0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
Sales: professionalism
Product knowledge
Understanding our business/needs
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and conditions
Follow up after the sale
Value
Product: robustness/ sophistication of…
Completeness of functionality
Reliability of technology
Scalability
Integration of components within product
Integration with third-party technologies
Overall usability
Ease of installationEase of administration
Customization and extensibility
Ease of upgrade/migration to new versions
Online training, forums and documentation
Support: professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult: professionalism
Product knowledge
Experience
Continuity
Value
Integrity
Recommend
Looker 2016 Performance
Looker 2016 Overall Sample
Copyright 2016 Dresner Advisory Services, LLC

37. BI Customer Experience Model
Copyright 2016 Dresner Advisory Services, LLC

38. BI Vendor Credibility Model
Copyright 2016 Dresner Advisory Services, LLC

39. Dresner Advisory Services
Wisdom of Crowds®
Copyright 2016 Dresner Advisory Services, LLC
www.dresneradvisory.com

40. Connect. Describe. Explore.
Wisdom of Crowds WebinarRuss Garner
Data Analyst

41. Traditional Approach
SUMMARY
OLAP / Data
Summaries
SILOED
Restricted Q&A
LIMITEDDIFFICULT & CUMBERSOME
ETL - Heavy
Transformation
END USERBI TEAMETL TEAM EDW TEAM
WANT TO ASK NEW
QUESTIONS?
A B
?C
Z
P

42. % of Company Users
Technical Effort
Traditional BI Implementation Curve
Implementation Adoption Maturity

43. Ideal BI Implementation Curve
Technical Effort
% of Company Users
Implementation Adoption Maturity

44. A New Approach to BI

45. Transformation at Query
AGILE/SELF-
SERVICE
3RD PARTY APP
API
ANY DEVICE
Anywhere for Anyone
WEB-BASEDCONSOLIDATED
Simple Extract & Load
MPP | REDSHIFT | MYSQL
Data Modeling Layer
GOVERNED
DATA TEAM END USERSINNOVATION
A
P
U W
XU
A
TRANSACTIONA
L DATA
EVENT
DATA A Z
LookML
The Looker Approach
Maturity

46. Ideal BI Implementation Curve
Technical Effort
% of Company Users
Implementation Adoption Maturity

47. 100% In Database
Leverage all your data
Avoid summarizing or moving it
Modern Web Architecture
Access from anywhere
Share and collaborate
Extend to anyone
LookML Intelligent
Modeling Layer
Describe the data
Create reusable and shareable
business logic
The Technical Pillars That Make It Possible

48. Let’s See The Demo!

49. Q&A

50. THANK YOU FOR JOINING
Recording and slides will
be posted.
We will email you the links
tomorrow.
See you next time!
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51. Connect. Describe. Explore.
Wisdom of Crowds WebinarThank You!