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Business Analytics 2020 Market Trends Dan Sommer Senior Director, Market Intelligence Lead November 2016
Business Analytics 2020 Market
Trends
Dan Sommer
Senior Director, Market Intelligence Lead
November 2016
Three Underlying Forces
An explosion in computing
and analytic power
An explosion of data
and content
The rise of the
information activism
Information Pollution
…But it won’t be enough
Data Pollution
Data Bias
Data Fatigue
Data Ignorance
Post-Fact Era?
”POST-FACT”
”DATA LITERACY”
Phoenix rising; “Data Literacy”
moves from “nice to have” to “must have”
“Data literacy includes the ability
to read, work with, analyze and
argue with data.”
http://rahul.connectionlab.org/collateral/Data_Literacy_Workshop_Paper.pdf
Data Literacy
2017 will be the year of data literacy
An explosion in
computing and
analytic power
An explosion of data
and content
The rise of
information
activism
The rise of data
literacy
External & Fragmented Data“New” data is often generated outside
the organization from diverse sourcesData
Centricity
IT
Volume Velocity Variety
Shift in centricity
9
Shift in Data Centricity
Data
Warehouse
Customer
Data
Human
Resource
Industry Data
Weblogs
Financial
Data/
ERP
Open Data
"Dark Data"
Sensors
Mobile Data
Enterprise IT
Business Unit
Personal
100% Cloud100% On-Premises
10
• In 2017 – half of the data we look at will be outside
of the firewall
• In 2017 – hybrid cloud, and multi-platform will
emerge as the dominant model
• In 2017 –combinations of data will take precedence
over big data
A shift to external and fragmented data:
Trend & Prediction
Data
Centricity
IT
Personal
LoB
CloudOn-premise
External Data
Analysis-Centric
Most “new” data is generated outside
the organization from diverse sourcesData
Centricity
Analytic
Centricity
IT
Descriptive
Diagnostic
PredictivePrescriptive
Mainstream shifting from “report-centric
w/ some analysis” to “analysis-centric w/
some reporting”
Volume Velocity Variety
Shift in centricity
12 © 2015 Gartner, Inc. and/or its affiliates. All rights reserved.
Descriptive
Analytics
1) Smart Data Discovery
2) Predictive Modeling
3) Pattern Matching
4) Complex Event
Processing (CEP)
5) Multivariate Statistics
6) Forecasting
7) Regression Analysis
Query and
Ad hoc
Reporting
Scheduled
Reports
OLAP
Data
Discovery
Analytic
Application
Prescriptive
Analytics
Predictive
AnalyticsAnalytics in
Application
What happened?
Why did it happen?
What will happen?
How can we make it happen?
1
2
3
4
5
67
8) Neural Networks
9) Graph Analytics
10) Operations Research
(Optimization)
8
910
Analytic Gravity... "From Reporting-centric to Analysis-centric BI."
13
• In 2017 - the concept of visualization will move
from “only visual analysis” to include the whole
supply chain of data
• In 2017 – focus will shift from “advanced
analytics”, to “advancing analytics
A shift to analysis :
Trend & Prediction
Analytic
Centricity
Backward
looking
Forward
looking
Business & Personal
External Data
Analysis-Centric
Most “new” data is generated outside
the organization from diverse sources
From system centricity to business
unit and eventually personal centricity
Data
Centricity
Analytic
Centricity
Buyer
Centricity
IT
IT
Business Unit
Personal Descriptive
Diagnostic
PredictivePrescriptive
Mainstream shifting from “report-centric
w/ some analysis” to “analysis-centric w/
some reporting”
Volume Velocity Variety
Shift in centricity
IT
Workgroup
Dept.
“Shadow IT”
Buyer Centricity"From Business Analytics to Personal
Analytics"
Information Worker
Citizen Data Scientist
Application
Developer
“Workers With
Information”
"T-shirt"
Customer
Data
Science
Labs
Business
Executive
16
• In 2017 - self-service visualization becomes a
commodity, accessible for all
• In 2017 – information workers and operational
workers will get richer analytics through custom
analytic apps, and analytics in the app
A shift to user- and business driven :
Trend & Prediction
Buyer
Centricity
IT
Business
Personal
Business & Personal
External Data
Analysis-Centric
Analytic PlatformsMost “new” data is generated outside
the organization from diverse sources
From system centricity to business
unit and eventually personal centricity
Classic market disruption
Data
Centricity
Analytic
Centricity
Buyer
Centricity
SellerCentricity
IT
IT
Business Unit
Personal Descriptive
Diagnostic
PredictivePrescriptive
Mainstream shifting from “report-centric
w/ some analysis” to “analysis-centric w/
some reporting”
Volume Velocity Variety
Stack Vendors
Specialist Tools
Open Plat.& Ecosystems
Shift in centricity
In 2017 - Modern BI overtakes traditional BI as the new
reference architecture
Governance
Cha
ng
e/A
gili
ty
high
highlow
low
19
Gartner Recognizes Qlik® as a Leader in Magic
Quadrant for BI & Analytics Platforms
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Qlik. Gartner does not endorse any vendor, product or
service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and
should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.
Source: Gartner, Magic Quadrant for Business Intelligence and
Analytics Platforms, Josh Parenteau et al, February 4, 2016. The
Gartner document is available upon request from Qlik.
“The BI and analytics platform market's
multiyear shift from IT-led enterprise
reporting to business-led self-service
analytics has passed the tipping point.
Most new buying is of modern, business-
user-centric platforms forcing a
new market perspective, significantly
reordering the vendor landscape.”
The reach of analytics is expanding
Existing
Opportunites
Untapped
Opportunities
Traditional BI
25% of users
Designated few
Modern BI
50% of users
Business
Analysts
Custom
Analytic
Apps
75% of users
Info Workers
Embedded/
Developer
>100% of
users
Operational
Workers
Creates a unique opportunity
…to an endless sea of data
driven possibilities.
From the
business intelligence pond…
From Nodes To Networks – enabling the data-driven organization
Data
People
Ideas
Data
Analytic
IdeasPeople
Eco-
Systems
IT
Networks of People
Networks of Data
Networks of Ideas
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Half of the data used outside of firewallInternal External
Past Future
Facilitating Data CombinationsBig Data Big Insights
Visualizing the whole information supply chainVisual
RenderingContext-driven
VisualizationFreemium visualization available for everyone
Costly Commodity
Advancing AnalyticsBI AI
Modern BI the new reference architectureFlexibility
or rigidity
Elastic open
platforms
Custom Analytic Applications and Analytics in the applicationAnalytics a destination Analytics come to you
Hybrid CloudMulti-platform on prem Multi-platform cloud
Physical and Digital worlds meetPhysical Digital
Ecosystems of Data, People, IdeasNodes Networks
Business Analytics 2020 Market
Trends
Dan Sommer
Senior Director, Market Intelligence Lead
November 2016
