business disruption: new opportunities in a post ... · business disruption: new opportunities in a...
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business disruption: new opportunities in a post industrial and post application world.
michael fauscette
group vp, ww software applications research
@mfauscette
www.mfauscette.me
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law of accelerating returns
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time
rate
of
Change
expected rate of change
actual rate of change
examples
ice harvesting to ice factories to out of business
kodak
mcCormack and dodge / DBS – 1st to 2nd platform
blockbuster…and now netflix
dell – post PC era
motorola and blackberry
sony – hardware to software transition
5
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disruption
production
innovation /
development
balanceimbalance
Technology is the Underpinning of Digital Transformation
7
Why is this technology shift so significant?The synergistic interaction of these technologies is empowering BUSINESS disruption
The 3rd Platform Shift
today
internet as a business and technology platform
businesses: overwhelming tactical issues
• customer don’t “behave”
• employees have “unreasonable” expectations
• sales, marketing, service not “working”
• shifting workforce dynamics (for the 1st time
Millennials are the largest % of the workforce)
• disruptive new connected business models
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65% of B2B buyers agreed that
“We usually engage a vendor
sales professional only when
we have made a purchase
decision”
trends
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broad “Platform”
changes are very
disruptive - there
are fundamental
changes at play
cloud is
mainstream
but the shift
will take
time
tech is not just an
equalizer and a
way to reduce
costs, it is (or can
be) a strategic
advantage
business model innovation can be more disruptive than product / service innovation
information is a new currency in this new age, but “big” isn’t the point
not Mobile 1st,
Any Device,
Any Time
all applications
must be “social”
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digital transformation
business modernization framework
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Customer Experience
Commerce Workforce &
Worksource
Innovation Management
Business Networks
Sensor Driven
Networks
11
Core Enterprise Applications
Data / Analytics
PaaS
Enterprise Social Network / Community
the platform concept becomes something
different.
what businesses need from technology is being
redefined.
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companies are feeling the “winds
of change” but most are piling on
more sails
moving to the post application era
distributed information access – decision support
people-centric networks: connect people to people / data / assistive
tech / leveraging networks & communities)
cloud based distribution
any device access (responsive)
underlying platform services
modern UI / UX
‘On Premises’ (Apps) Opportunity in US
Growth Rate = 5.1%
US opportunity in on premises 2014 -2019
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$85.2b
‘On Premises’ (Apps) Opportunity in US
CAGR= 5.2%
$109.8b
US opportunity in public cloud 2014 -2019
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Public Cloud (Apps) Opportunity in US
Growth Rate = 22.6%
$23.8bPublic Cloud (Apps) Opportunity in US
CAGR = 16.9%
$52bw
r
o
n
g
worldwide competitive public cloud PaaS revenue snapshot
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data services are driving growth of the PaaS
market
moving to the post application era
microservices marketplace
services
Core Enterprise Applications
Data / Analytics
PaaS
Enterprise Social Network / Community
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Platform as a Service (PaaS)Application development and deployment environment
Cloud Application Platforms
Model
Driven
Deployment
Centric
Platform Services
App Dev/Life
CycleIntegration Data /
Analytics
Social
Storage,
Security,
Other
Services
from applications to microservices marketplaces and
platforms
Clo
ud A
pplic
ation P
latf
orm
s
Higher order services
Deployment services
Traditional Cloud
Native
Pla
tform
Serv
ices
App Dev
Data
Integration
IoT App
Social
DB Analytics Cognitive
CI/CD Testing
Security Spatial
Model
Driven
Function
Driven
Mobile
Micro Services
Containers
Others
PaaS: the new competitive component landscape
new profit pools
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platform marketplace
core
ecosystem
emerging landscape
PaaS
current PaaS Vendors
“catch up” plays from other
apps vendors
others?
barrier to entry medium now,
but likely get high
core
usual suspects /
apps vendors
barrier to entry
very high
marketplace
PaaS and/or other
apps vendors
large SI’s
barrier to entry high
(trust issue)microservices
mobile app model (any small
development shop)
barrier to entry very low
ecosystem extending the reach and making it all work
barrier to entry medium, but likely will get higher fast
people + data + assistive tech (CI/AI) + work context & flow =
improved decisions
people-centric
networks
“social” technologies today
52,397.55
87,346.88
0.00
10,000.00
20,000.00
30,000.00
40,000.00
50,000.00
60,000.00
70,000.00
80,000.00
90,000.00
100,000.00
2014 2019
150.9% CAGR
SocialView, Sept 2015
“social” technologies today
29,270.30
14182.35
4,236.402,694.50
49,408.53
22496.92
8,466.43
4,956.00
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
0.00
10,000.00
20,000.00
30,000.00
40,000.00
50,000.00
60,000.00
Customer Experience WorkforceTransformation
Business Networks Commerce
2014 2019 CAGR
SocialView, Sept 2015
big data and business analytics market
25
2014 Business Analytics
Software: $41.2 B
Infrastructure: $18.1 B
Services: $51.6 B
Total WW: $110.8 B
CAGR: 11.2%
2014 Big Data
Software: $4.0 B Infrastructure: $4.8 BServices: $4.6 B
Total WW: $13.3 B
CAGR: 24.6%
big data & analytics: solution opportunities
26
Financial Reporting, Budgeting,
Profitability, Risk Management
Money(Accounts, Cash)
Psychologically Predictive, Optimizing
Offers and Content, Experience Management
People (Customers, Employees)
Predictive Maintenance, Optimizing Assets, Logistics,
Inventory and Operations, Demand Sensing
Things (Products, Materials)
Source: A 3x3 Opportunity Matrix for Big Data and Analytics, IDC #247766, April 2014
Performance
Management
Managers
Workload/Role
Business Process
Operational
Intelligence
Front Line Staff
Exploration &
Discovery
Analysts
Plan &
Optimize
Sense &
Respond
Model &
Predict
big data & analytics: platform opportunities
27
Source: A 3x3 Opportunity Matrix for Big Data and Analytics, IDC #247766, April 2014
Financial Reporting, Budgeting,
Profitability, Risk Management
Money(Accounts, Cash)
Psychologically Predictive, Optimizing
Offers and Content, Experience Management
People (Customers, Employees)
Predictive Maintenance, Optimizing Assets, Logistics,
Inventory and Operations, Demand Sensing
Things (Products, Materials)
Event or stream
processing,
Rules engines,
Workflow
management
Hadoop,
NoSQL, Graph,
Schema-less
databases,
Advanced
analytics
Relational data
warehouse with
in-memory tech.,
OLAP,
Dashboards
Performance
Management
ManagersWorkload/Role
Business Process
Operational
Intelligence
Front Line Staff
Exploration &
Discovery
Analysts
Plan &
Optimize
Sense &
Respond
Model &
Predict
democratizing data
data: from “big” to “smart” to “small”
people-centric decision platforms
democratizing data
the evolution of the platform (post-application era)
business modernization
opportunity in disruption
new profit pools
takeaways help customers to modernize
by leveraging technology
opportunity inside disruption:
new profits pools
accelerating rate of change and
the consequences of doing
nothing
using all available assets to
make the business
modernization successful
michael fauscette
group vice president
WW software application
research
Blog: www.mfauscette.com
@mfauscette
about.me: www.mfauscette.me