Ditch Discovery Doldrums: Unify Silos of Analytics for Self-Service Success

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

Transcript of Ditch Discovery Doldrums: Unify Silos of Analytics for Self-Service Success

© 2016 Ventana Research 1 © 2016 Ventana Research

Ditch Discovery Doldrums

Mark Smith CEO & Chief Research Officer

© 2016 Ventana Research 2 © 2016 Ventana Research 2

New Generation of Analytics

© 2016 Ventana Research 3 © 2016 Ventana Research 3

Many Choices Exist for Analytics & BI

© 2016 Ventana Research 4 © 2016 Ventana Research 4

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.

© 2016 Ventana Research 5 © 2016 Ventana Research 5

Discovery Helps Analysts not Business

© 2016 Ventana Research 6 © 2016 Ventana Research 6

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

© 2016 Ventana Research 7 © 2016 Ventana Research 7

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.)

© 2016 Ventana Research 8 © 2016 Ventana Research 8

Analytics and BI Functionality Criteria

Data

Model

Access

Analytics

Discovery

Integrate

Predict

Communication

Collaborate

Manage

Inform

Act

Automate

© 2016 Ventana Research 9 © 2016 Ventana Research 9

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

© 2016 Ventana Research 10 © 2016 Ventana Research 10

Visual Discovery Should Clarify not Confuse

© 2016 Ventana Research 11 © 2016 Ventana Research 11

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.

© 2016 Ventana Research 12 © 2016 Ventana Research 12

Doldrums Lead to Frustration

© 2016 Ventana Research 13 © 2016 Ventana Research 13

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

Second First

Importance

15% 9%

7% 4%

© 2016 Ventana Research 14 © 2016 Ventana Research 14

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

© 2016 Ventana Research 15 © 2016 Ventana Research 15

Modernize Analytics and BI Effectively

© 2016 Ventana Research 9

© 2016 Ventana Research 16 © 2016 Ventana Research 16

Effective Evaluation of Analytics & BI

Download Executive Summary

http://www.ventanaresearch.com/BIValueIndex/

© 2016 Ventana Research 17 © 2016 Ventana Research 17

Empower Analysts but Simplify Business

© 2016 Ventana Research 18 © 2016 Ventana Research 18

Simplify Analytics for Business and IT

© 2016 Ventana Research 19 © 2016 Ventana Research 19

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.

© 2016 Ventana Research 20 © 2016 Ventana Research 20

Questions?

Twitter

@marksmithvr and @ventanaresearch

LinkedIn

http://www.linkedin.com/company/ventana-research

Analyst Perspectives

http://marksmith.ventanaresearch.com

© 2016 Ventana Research 21 © 2016 Ventana Research

Ditch Discovery Doldrums

Mark Smith CEO & Chief Research Officer

Beyond Data Discovery

Michael Corcoran Sr. Vice President & CMO April 11, 2016

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About Us

Information Builders

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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

Better Data. Better Analytics.

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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, Customers 22% 78%

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

Requirements Users Results

InformationWeek 2015 CIO Survey

The Gaps Between Business and Technology

Integrity

Intelligence

Integration

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

IT Developers Management Operational Workers Business Partners Customers

Tools for Business Users & IT; InfoAppsTM for the Masses

Self-Service BI and Analytics for Everyone

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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

SocialHot

BadFeedback

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

Customer Results

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In Their Own Words…

Follow us…

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Twitter

@mpcorcoran and @infobldrs

Facebook

www.facebook.com/informationbuilders

LinkedIn

www.linkedin.com/company/information-builders

Summary & Discussion

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Mark Smith CEO & Chief Research Officer

Michael Corcoran Sr Vice President & CMO