solving self service analytics adoption

Solving Self-Service AdoptionMark Lockwood, Director of Product Marketing

David Abramson, Director of Product Management

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State of Self-Service Survey

429

IT / BI Team /Business Analyst

375

Business Users

Operations

Finance

Sales

Support

Marketing

HR

R&D

38%27%

10%8%

6%4%

3%

Sales

Operations

Support

R&D

Mktg

Fin

HR

2 @Mark_Lockwood @abramsond

Logi Analytics Executive Review of Self-Service BI Trends

Observation #1:There’s More Data for Analysis,But Limited Ability to Shape It

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Self-Service on New Data Sources Is Ripe for Analysis

Evolving Data Landscape

Which of the following data sources do you plan to offer business users for self-service BI?

0% 20% 40% 60% 80%

53%

44%

38%

36%

22%

21%

19%

19%

26%

27%

25%

28%

28%

30%

28%

26%

Already Have1-2 Years

Relational databasesWeb (Cloud) applications

Internal applicationsData warehouse

Analytic datastoresOLAP cubes

NoSQLHadoop

@Mark_Lockwood @abramsond4

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Modify or change the data Export data to spreadsheetImport external data into BI systemCombine imported data with IT dataConnect to IT data

12345

1234

5

Business and IT Need to Share Data Shaping and Preparation Capabilities

Self-Service Analysis Starts with the Data

@Mark_Lockwood @abramsond5

Conclusion #1:Data Prep is Critical to Self-Service Adoption

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The Data Problem in Self Service Analytics

7 @Mark_Lockwood @abramsond

Data lives in different places.

Organizations outsource applications to run their business (e.g. CRM, Sales, Marketing)

Accessing Data

RDBMS Applications Files

Half of the organizations are accessing external data sources*

*MQ Survey for BI and Analytic Platforms

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The “old” way: Enterprise Data Warehouse

8 @Mark_Lockwood @abramsond

Operational Database

Operational Database

Files

Staging Area

EDWMetadata

Summary DataFact tables

Dimension tablesCubes (optional)

Reports

Dashboards

Analysis

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Blend data from databases, applications and filesDefine your “new” Data Strategy

@Mark_Lockwood @abramsond9

Sales & Marketing Files

OFX

Databases

ODBC OLEDB

Finance / ERP

Observation #2:Treating Everyone the Same Results in Disappointing Satisfaction

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63%

56%

55%

48%

9%

21%

29%

28%

Self-Service Analytics in High Demand…

11

Marketing

Finance

Sales

Operations

…But Poorly Satisfied

Very Important Very Satisfied

@Mark_Lockwood @abramsond

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End user adoption of analytics is faltering

12

Source: Logi Analytics’ 2015 State of Self-Service Analytics Report

91% of end users want access to self-service analytics…

…yet only 22% actually use self-service tools

@Mark_Lockwood @abramsond

Conclusion #2:Different Roles Have Different Needs

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Today’s end users are increasingly diverse…

14 @Mark_Lockwood @abramsond

Consumers

Defined Experience

I need access to pre-defined KPIs, reports and

dashboards

Consume Interact Personalize

Creators

Managed Experience

I need to author new dashboards and reports for

my team

Query Author Share

Analysts

Self-Directed Experience

I need to explore data to detect patterns, identify

trends, and share insights

Connect Discover Collaborate

The Continuum of Analytic Adoption

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A Platform Approach to Keeping Users in “Your App”

15 @Mark_Lockwood @abramsond

Genius Analytic ApplicationsTailored to users’ roles and skills

Embedded in the context of where users work

Integrated with existing workflows & processes

Consumers

Defined Experience

Consume Interact Personalize

Creators

Managed Experience

Query Author Share

Analysts

Self-Directed Experience

Connect Discover Collaborate

Observation #3:

The lack of collaboration between App Owners and Users is growing

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50%

31%

63%

36%

2014 2015

YES, there a formal process in place to promote an insight discovered by a business user into a standard report delivered by the IT/BI team.

Gap iswidening

Collaboration Between App Owners and Users Languishes

@Mark_Lockwood @abramsond

Conclusion #3:New user insights must find their way back into the application

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App Owners and Users Collaborating

19 @Mark_Lockwood @abramsond

Software ExpertiseDomain Expertise

Application Team End Users

App Owner End UserDomain ExpertsContent Authors

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3 Keys to Keeping Users in “Your App”

20 @Mark_Lockwood @abramsond

1

2

3

More Data for Analytics But Limited Ability to Shape ItData Prep is Critical to Self-Service Adoption

#Logi16

3 Keys to Keeping Users in “Your App”

21 @Mark_Lockwood @abramsond

1

2

3

More Data for Analytics But Limited Ability to Shape ItData Prep is Critical to Self-Service Adoption

Treating Everyone the Same Results in Poor SatisfactionDifferent Roles Have Different Needs

#Logi16

3 Keys to Keeping Users in “Your App”

22 @Mark_Lockwood @abramsond

1

2

3

More Data for Analytics But Limited Ability to Shape ItData Prep is Critical to Self-Service Adoption

Treating Everyone the Same Results in Poor SatisfactionDifferent Roles Have Different Needs

Collaboration between App Owners and Users is laggingNew user insights must find their way back into the application

#Logi16

Report on Analytics Adoption

23

2015 State of Self-Service BI Report www.LogiAnalytics.com/State-Of-Self-Service/

@Mark_Lockwood @abramsond

COMING SOON: 2016 State of Analytics Adoption Report

Solving Self-Service Adoption

Mark Lockwood, Director of Product Marketing

David Abramson, Director of Product Management

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Learn more with the Gartner 2016 Critical Capabilities Report for BI and Analytics Platforms

26 @Mark_Lockwood @abramsond