Ventana Research's Mark Smith gives his best practices on self-service analytics to empower employees and get results in this slideshow.

1. © 2016 Ventana Research1 © 2016 Ventana Research
Ditch Discovery Doldrums
Mark Smith
CEO & Chief Research Officer

2. © 2016 Ventana Research2 © 2016 Ventana Research2
New Generation of Analytics

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Many Choices Exist for Analytics & BI

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The Personas for Analytics & BI
Analytics and BI must meet the following
usage roles and responsibilities:
Information Consumers
• Digest information and perform basic
interactions
Knowledge Workers
• Utilize and interact analytics to drive actions
and decisions.
Designers
• Enable the design and use of information
across roles.
Analysts
• Mashup data and design analytics to
provide foundational insights for business.
Data Geeks
• Enable big data to be exploited in an
immature world through Data Scientists.
IT and Business Intelligence Experts
• Utilize the tools to provide secured access
to data and related analytics and metrics.

5. © 2016 Ventana Research5 © 2016 Ventana Research5
Discovery Helps Analysts not Business

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Use Categories for Evaluation Criteria
Leverage a framework like that
from Ventana Research that
examines vendors and products
across evaluation criteria in
categories that represents how
products are used across roles.
Just focusing on one category
or focusing on non-relevant
categories like vision and
execution could be detrimental
to your organizations use of
products.
Categories
Usability
Functionality
Reliability
Manageability
Adaptability
TCO/ROI
Validation

7. © 2016 Ventana Research7 © 2016 Ventana Research7
Use Categories for Evaluation Criteria
Leverage a framework like that
from Ventana Research that
examines vendors and products
across evaluation criteria in
categories that represents how
products are used across roles.
Just focusing on one category
or focusing on non-relevant
categories like vision and
execution could be detrimental
to your organizations use of
products.
Categories
Usability (63%)
Functionality (50%)
Reliability (50%)
Manageability (42%)
Adaptability (32%)
TCO/ROI (31%)
Validation (20%)
Source: Ventana Research Big Data Analytics Benchmark Research
(Percentages represent very important rating to organizations.)

8. © 2016 Ventana Research8 © 2016 Ventana Research8
Analytics and BI Functionality Criteria
Data
Model
Access
Analytics
Discovery
Integrate
Predict
Communication
Collaborate
Manage
Inform
Act
Automate

9. © 2016 Ventana Research9 © 2016 Ventana Research9
Analytics Require Range of Discovery
Spectrum of Methods:
• Event: Use of streams
of events from applications,
and machine data like IoT.
(49%)
• Data: Utilizing data to better
understand it. (64%)
• Visual: Presenting data in a
for visual interaction. (31%)
• Information: Harvesting
content and text for
interactions. (57%)
(Percentages indicate organizations that
have analytics for big data.)
Source: Ventana Research Big Data Analytics
Benchmark Research

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Visual Discovery Should Clarify not Confuse

11. © 2016 Ventana Research11 © 2016 Ventana Research11
Doldrums of Discovery: Visual Chaos
Avoid Visual Chaos
• Business is not trained to
interpret charts and
determine relevance of
visualization.
• Wrong assumptions can be
made on visuals guiding
incorrect actions.
• Time is wasted drilling
around charts and not clear
what is important or
relevant.

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Doldrums Lead to Frustration

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Analytics Priorities for Organizations
Related research facts:
•Range of analytics are needed
to meet the usage personas.
•Predictive analytics ranks
number five in analytic
capabilities currently available in
the organization (57%), lagging
more descriptive approaches of
query and reporting (74%)
•Visual analytics is used for
contextual understanding (48%)
and root cause analysis (40%)
Source: Ventana Research Big Data Analytics Benchmark Research
18%47%
Advanced /
predictive
26%13%
Descriptive
analytics
20%16%
Real-time
analytics
13%9%Visual Analytics
In-database
analytics
In-memory
analytics
SecondFirst
Importance
15%9%
7%4%

14. © 2016 Ventana Research14 © 2016 Ventana Research14
Where do Analysts Spend (Waste) Time
Largest time spent on data related tasks:
Preparing Data for
Analysis
55%
Reviewing data for quality and
consistency
48%
Determine how
changes impact
business
21%
Trying to determine root
cause of situation
27%
Waiting for data and information
from IT
28%
Source: Ventana Research Data and Analytics in the Cloud Benchmark Research

15. © 2016 Ventana Research15 © 2016 Ventana Research15
Modernize Analytics and BI Effectively
© 2016 Ventana Research
9

16. © 2016 Ventana Research16 © 2016 Ventana Research16
Effective Evaluation of Analytics & BI
Download Executive Summary
http://www.ventanaresearch.com/BIValueIndex/

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Empower Analysts but Simplify Business

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Simplify Analytics for Business and IT

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Next Steps for Analytics and BI
1. Establish a unified approach
to analytics and business
intelligence.
2. Avoid the discovery tool
dilemma that has complicated
self-service and created more
confusion for business.
3. Get data visualization that
helps guide actions and make
decisions in a timely manner.
4. Eliminate the gaps and data
discrepancies associated with
data discovery tools.

20. © 2016 Ventana Research20 © 2016 Ventana Research20
Questions?
Twitter
@marksmithvr and @ventanaresearch
LinkedIn
http://www.linkedin.com/company/ventana-research
Analyst Perspectives
http://marksmith.ventanaresearch.com

21. © 2016 Ventana Research21 © 2016 Ventana Research
Ditch Discovery Doldrums
Mark Smith
CEO & Chief Research Officer

22. Beyond Data Discovery
Michael Corcoran
Sr. Vice President & CMO
April 11, 2016
22

23. About Us
Information Builders
23
Our goal is to deliver the industry’s best engineered software
and top customer service to ensure customer success.
Founded
in 1975
1,350
employees
Millions
of users
Global market
presence
10,000
customers
Better Data.
Better Analytics.
Award
winning
service
Award
winning
software

24. Better Data. Better Analytics.
24

25. Who Needs It?
Business Intelligence & Analytics
Business Analyst Operational Worker
Data
Scientist Partners
Customers
Data Mining
Statistics
Predictive
Spreadsheets
Data Discovery
Query & Analysis
Managers
Mobile Apps
Portal
e-Statements
In-store Kiosk
Supplier,
Distributor,
Retailer Portals
Decision Support Apps
Reports
Performance Metrics
Event-driven Alerts
Dashboards
Scorecards
Powerpoint
Production Reports
Back Office Operations, Partners, Customers22% 78%

26. Self-Service BI & Analytics for Everyone
Business Opportunities
Pervasive (Operational) BI and Analytics
Employees Operational
Reporting & Alerts,
Decision Support,
Performance
Benchmarks
Operationalize
Insights,
Change Culture,
Performance
Benchmarks,
Information
Exchange
Partners,
Suppliers &
Distributors
Operational
Optimize Supply
Chain,
Meet SLA’s
Eliminate Waste
Customers,
Citizens, Patients
& Students
Vital Self-service
Experience,
e-Statements
New Revenue,
Loyalty/Retention,
Public Awareness
Data Monetization
Back-Office BI and Analytics
Executive
Management
Strategic
Metrics
Dashboards
Scorecards
High-level
Decision-making
Analysts Analytical Analytics
Advanced Analytics
Generate Insight,
Identify Problems
& Trends
Organizational
Role
RequirementsUsers Results

27. InformationWeek 2015 CIO Survey
The Gaps Between Business and Technology
Integrity
Intelligence
Integration

28. Information Builders’ 3i Platform
Better Data. Better Analytics.

29. IT Developers Management Operational Workers Business Partners Customers
Tools for Business Users & IT; InfoAppsTM for the Masses
Self-Service BI and Analytics for Everyone
29
InfoAppsTM
Dashboards &
Scorecards
Governed Self-service
Reporting
Mobile InfoApps
E-Statements
Data Discovery
InfoApps
Predictive InfoApps
Search & Social Analytic
InfoApps
Portal
Create your
own App Store
experience
Operationalize Insights & Monetize Data
Business Analysts
App Studio InfoAssist+
Data
Discovery
Predictive
Analytics
Social
Intelligence
Search
Location
Intelligence
Reporting
Dashboards
Generate & Deploy Insights
Social
Hot
Bad
Feedback

30. I. Executive Summary
Page 10
Management
Dashboards & Scorecards
Business Analysts
Simple to Advanced Analytics Tools
Operational Workers
Real-time Reporting & Decision
Support Apps
Supply Chain Partners
Performance Metrics & Reporting Apps
Customer & Citizens
Self-service Reporting Portals &
Analytic e-Statements
WebFOCUS
Self-Service BI and Analytics for Everyone

31. Customer Results
31
In Their Own Words…

32. Follow us…
32
Twitter
@mpcorcoran and @infobldrs
Facebook
www.facebook.com/informationbuilders
LinkedIn
www.linkedin.com/company/information-builders

33. Summary & Discussion
33
Mark Smith
CEO & Chief Research Officer
Michael Corcoran
Sr Vice President & CMO