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Wisdom of Crowds WebinarWisdom of Crowds Webinar

— This webinar will be recorded

— We will take questions at the end

Welcome & Webinar Overview

Russ GarnerData Analyst

Looker

Howard DresnerChief Research Officer

Dresner Advisory Services

Meet our Presenters


Wisdom of Crowds®

Copyright 2016 Dresner Advisory Services, LLCwww.dresneradvisory.com

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

Success with Business Intelligence



Successful Somewhat successful Somewhat unsuccessful Unsuccessful0%

10%

20%

30%

40%

50%

60%

35%

53%

10%

2%

38%

50%

9%

3%

Success with Business Intelligence 2015 - 2016

2015 2016

Why BI Succeeds


Why BI Fails


The State of Data



0%5%

10%15%20%25%30%35%40%45%

Business Intelligence and The State of Data 2015 to 2016

20152016



10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Business Intelligence and the State of Data_x000d_ by BI Success

Data as "truth" - A common view of enter-prise data is available with common appli-cation of data, filters, rules, and semanticsA common view of enterprise data is avail-able. However, parochial views and se-mantics are used to support specific posi-tionsConsistent data is available at a departmen-tal level. Conflicting, functional views of data causes confusion and disagreementWe have multiple, inconsistent data sources with conflicting semantics and data. Infor-mation is generally unreliable and distrusted

Action on Insight



“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 leveraged0%

10%

20%

30%

40%

50%

60%

70%

24%

62%

10%

4%

26%

60%

11%

4%

28%

55%

12%

5%

Business Intelligence and Action on Insight 2014 - 2016

201420152016



10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Business Intelligence and Action on Insight _x000d_ by BI Success

"Closed loop" - Information is shared, teams work to process and act in a timely fashion. No formal boundariesAd hoc (informal) action on insights across functionsUncoordinated/ parochial action (sometimes at the expense of others)Insights are rarely leveraged

User Targets for Business Intelligence



Execu

tives

Middle Managers

Line M

anagers

Individual C

ontributors

and Professionals

Customers

Supplie

rs0%

10%

20%

30%

40%

50%

60%

70%

80%

Targeted Users for Business Intelligence 2014 - 2016

201420152016



10%

20%

30%

40%

50%

60%

70%

80%

Success With Business Intelligence by Targeted Users

Executives Middle managers Line managers Individual contributors & professionals Customers Suppliers

Business Intelligence Objectives



Better decision-making

Improved operational efficiency

Growth in revenues

Increased competitive advantage

Enhanced customer service

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Business Intelligence Objectives

Critical Very important Important Somewhat important Unimportant


Better decision making

Improved operational efficiency

Growth in revenuesIncreased competitive advantage

Enhanced customer service

1

3

5

Success with Business Intelligence by BI Objectives

Successful Somewhat successful Somewhat unsuccessful Unsuccessful

Business Intelligence Penetration



Under 10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more0%

5%

10%

15%

20%

25%

30%

35%

40%

Business Intelligence Penetration 2015 to 2016

20152016


In 36 months

In 24 months

In 12 months

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Expansion Plans for Business Intelligence through 2019

81% or more 61 - 80% 41 - 60% 21 - 40% 11 - 20% Under 10%


Succe

ssful

Somewhat su

ccessf

ul

Somewhat u

nsuccessf

ul

Unsucce

ssful

0%10%20%30%40%50%60%70%80%90%

100%

Penetration of Business Intelligence Solutions Today by BI Success

81% or more61 - 80%41 - 60%21 - 40%11 - 20%Under 10%

Prioritized Technology and Initiatives



ReportingDashboards

End user "self service"Advanced visualization

Data discoveryData warehousing

Data mining, advanced algorithms, predictiveIntegration with operational processes

Data story tellingEnterprise planning/budgeting

Mobile device supportEmbedded BI (contained within an application, portal, etc.)

GovernanceCollaborative support for group-based analysis

End user data preparation and blendingSearch-based interface

Software-as-a-service and cloud computingIn-memory analysis

Ability to write to transactional applicationsLocation intelligence/analytics

Big Data (e.g., Hadoop)Pre-packaged vertical/functional analytical applications

Text analyticsStreaming data analysis

Open source softwareSocial media analysis (SocialBI)

Cognitive BI (e.g., Artificial Intelligence-based BI)Complex event processing (CEP)

Internet of things (IoT)Edge computing

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Technologies and Initiatives Strategic to Business Intelligence

Critical Very important Important Somewhat important Not important


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


Completely successful Somewhat successful Somewhat unsuccessful Unsuccessful0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Importance of Governing BI Content Creation and Sharing by Success with BI

CriticalVery importantImportantSomewhat importantNot important


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

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

BI Content Governance Feature Requirements

Not important Somewhat important Important Very important Critical Don't know


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



10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

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


2012 2013 2014 2015 20160%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

13%17% 20%

24%29%7%

6%6%

9%9%

8%6%

6%

10%9%

73% 71% 68%

57%53%

Plans for Public Cloud BI 2012 to 2016

No plansNext yearThis yearToday


Advanced visualizationAd-hoc query

Personalized dashboardsEnd-user "self service"

Data integration/data quality tools/ETLData discovery

Production reportingData mining and advanced algorithms

Search interfaceEnd-user data blending or "mashups"

Location intelligence/analyticsIn-memory support

Pre-packaged vertical/functional analytical applicationsCollaborative support for group-based analysis

Big data (e.g., Hadoop) SupportAbility to write to transactional applications

Complex event processing (CEP)Text analytics

Social media analysis (SocialBI)

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Cloud BI Feature Requirements

Critical Very important Important Somewhat important Unimportant

Industry Ratings


Sales: professionalismProduct knowledgeUnderstanding our business/needs

Responsiveness

Flexibility/accommodation

Business practices

Contractual terms and conditions

Follow up after the sale

Value

Product: robustness/ sophistication of technology

Completeness of functionality

Reliability of technology

Scalability

Integration of components within product

Integration with third-party technologiesOverall usability

Ease of installationEase of administrationCustomization 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

ValueIntegrity

Recommend

0.00.51.01.52.02.53.03.54.04.55.0

Looker 2016 Performance

Looker 2016 Overall Sample


BI Customer Experience Model


BI Vendor Credibility Model



Wisdom of Crowds®

Copyright 2016 Dresner Advisory Services, LLCwww.dresneradvisory.com


Wisdom of Crowds WebinarRuss GarnerData Analyst

Traditional Approach

SUMMARY

OLAP / Data Summaries

SILOEDRestricted Q&A

LIMITEDDIFFICULT & CUMBERSOMEETL - Heavy Transformation

END USERBI TEAMETL TEAM EDW TEAM

WANT TO ASK NEW QUESTIONS?

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EVENT DATA

TRANSACTIONAL DATA

% of Company Users

Technical Effort

Traditional BI Implementation Curve

Implementation

Adoption Maturity

Ideal BI Implementation Curve

Technical Effort

% of Company Users

Implementation

Adoption Maturity

A New Approach to BI

Transformation at Query

AGILE/SELF-SERVICE

3RD PARTY APP

API

ANY DEVICE

Anywhere for AnyoneWEB-BASEDCONSOLIDATED

Simple Extract & Load

MPP | REDSHIFT | MYSQL

Data Modeling LayerGOVERNED

DATA TEAM END USERSINNOVATION

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TRANSACTIONAL DATA

EVENTDATA

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QA A Z

LookML

The Looker Approach

Maturity

Ideal BI Implementation Curve

Technical Effort

% of Company Users

Implementation

Adoption Maturity

100% In Database

Leverage all your dataAvoid summarizing or

moving it

Modern Web Architecture

Access from anywhereShare and collaborate

Extend to anyone

LookML Intelligent Modeling Layer

Describe the dataCreate reusable and

shareable business logic

The Technical Pillars That Make It Possible

Let’s See The Demo!

THANK YOU FOR JOINING

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