Solving Self Service Analytics Adoption
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Transcript of Solving Self Service Analytics Adoption
Solving Self-Service AdoptionMark Lockwood, Director of Product Marketing
David Abramson, Director of Product Management
#Logi16
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
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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
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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
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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
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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…
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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
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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”
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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”
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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
#Logi16
Learn more with the Gartner 2016 Critical Capabilities Report for BI and Analytics Platforms
26 @Mark_Lockwood @abramsond