Nick Smith, managing director at Informatica Australia & New Zealand presented at Chief Data and Analytics Officer Forum in March 2017. In this presentation, he revealed the 5 key lessons learned by Informatica's customers on their quest for data-driven innovation.

1. Data & Analytic Innovations:
5 lessons from our customers
nismith@Informatica.com
7th March 2017
Sydney, Australia
Nicholas Smith
Managing Director, Australia and New Zealand
AUCKLAND, Tuesday 18th October, 2016

2. Generational market shifts in data
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Explosion of Data Data doubling
every 2 years
Data in the Cloud
Over 40%
of all data in the Cloud by 2020
New Data Types
(mobile, social, IoT)
200 billion
connected devices by 2020
Business users 325 million
business data users and growing
Source: IDC, Baird
2

3. 1996
2016
2001
2002
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4. 2013
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5. 2013
2016
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6. Five customer lessons
• THE DATA CHALLENGE, AND THE POTENTIAL TO BE DISRUPTED, IS
GOING TO CREATE HUGE OPPORTUNITIES FOR COMPETITIVE
DOMINANCE AND SUCCESS
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7. Data Powers Business
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Process Cycle Times
Improvement
83%
39%
Data Driven Rest
Y/Y Revenue
Growth
Reduce Operating
Expense
27%
7%
Data Driven Rest
12%
1%
Data Driven Rest
Aberdeen Group, ‘The Executive’s Guide to Effective Analytics’
7

8. Data Powers Business
97% of C-level execs consider data as strategic
12% believe they are highly effective at
using data strategically
15% of CEOs consider themselves as
significantly above average in their use of data
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92%
35%
High Growth
Firms
Low Growth
Firms
Executives Thinking
Data First
Source: “The Data Directive”. Economist Intelligence Unit

9. Only 4% of companies are part of the “Information Elite”
©2017 Informatica. Proprietary and Confidential
• 76% are constrained by
lack of skills, culture,
technology
Source: “How organisations can unlock value and insight from the information they hold.” PwC report
• 43% "obtain little
tangible benefit from
their information"
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10. Businesses must embrace an outcome focused, data-first
culture
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11. Five customer lessons
• The data challenge, and the potential to be disrupted, is going to
create huge opportunities for competitive dominance and success
• MAKE DATA A STRATEGIC IMPERATIVE AT THE BOARD LEVEL
FOCUSING ON VISION, PEOPLE, PLATFORM AND PROCESS ACROSS
THE ENTERPRISE
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12. 12©2017 Informatica. Proprietary and Confidential 12

13. Big Data
Integration
• Simple Visual Environment
• Optimized Execution & Flexible
Deployment
• Dynamic schemas & Templates
• 100’s of Pre-built Transforms,
Connectors & Parsers
Big Data
Governance
• Data Quality & Profiling
• 360° Relationship Views
• Universal Metadata Catalog with
End-to-end Data Lineage
• Self-service Collaboration Tools
• Business Glossary
Big Data
Security
• Sensitive Data Discovery &
Classification
• Proliferation Analysis
• Risk Assessment
• Non-intrusive Data Masking
Big Data Management
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14. The Big Data journey and use cases
Lower infrastructure
costs, add Hadoop to
enterprise architecture
A single place to
manage the supply
and demand of data
Real-time proactive
customer engagement
Data Warehouse
Optimization
Real-Time
Customer
Analytics
Managed Data
Lake
IT driven Business driven
IoT /
Machine Data
Analytics /
Streaming Analytics
Predictive Maintenance,
Manufacturing as a
Service
Machine as a Service
Big Data Journey
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15. Five customer lessons
• The data challenge, and the potential to be disrupted, is going to
create huge opportunities for competitive dominance and success
• Make data a strategic imperative at the board level focusing on vision,
people, platform and process across the enterprise
• DON’T BE DISTRACTED BY THE COMPLEXITY OF THE PAST – NOW IS
THE RIGHT TIME TO CREATE A DATA INTEGRATION PLAN, DESIGN A
DATA GOVERNANCE MODEL AND ACTIVELY MANAGE DATA SECURITY
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16. Cloud Waves Drive New Data Requirements
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SaaS integration
• LOB
• Simplicity
• Cost savings
Strategic initiatives
• Big data
• Internet of Things
• Microservices
Risk/Value
First wave Second wave Third wave
PaaS adoption
• Workloads shift
• DBaaS, DWaaS,
Cloud BI
• Hybrid environment
Source: 451 Research
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17. Adoption and Budgets are Shifting Rapidly to Cloud
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Source: Gartner forecast :Public Cloud Services, Worldwide 2014-2020 Q1 2016 update & Gartner Market Insight: Cloud Computing’s Drive to Digital Business
May 2016. Examples of PaaS vendors include SFDC, Microsoft, and Google. Examples of IaaS vendors include AWS, Microsoft, Google
IT spend is becoming dominated by Cloud solutions
• As of 2019, public SaaS will be 34% of IT software spend vs 23% in 2015
• By 2020, more compute power sold by IaaS & PaaS than enterprise data centers
Cloud adoption for production workloads is accelerating
• SaaS expanding beyond CRM to mission critical HCM, ERP, BI
• As of 2015, 88% of organisations using cloud today indicate a cloud-first strategy
• As of 2015, 37% of public cloud adopters use it for mission critical workloads
• SFDC 4-year CAGR (FY2012-2016) is 31%
• AWS is now at $10B annual revenue rate; >60% YoY CAGR
• Cloud is 1/3 of Microsoft’s annual revenues
Security concerns about Public Cloud are declining rapidly
• By 2017, <5% of enterprises will have “no sensitive data in public clouds” policies
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18. Five customer lessons
• The data challenge, and the potential to be disrupted, is going to
create huge opportunities for competitive dominance and success
• Make data a strategic imperative at the board level focusing on vision,
people, platform and process across the enterprise
• Don’t be distracted by the complexity of the past – now is the right time
to create a data integration plan, design a data governance model and
actively manage data security
• MANAGE DATA NO MATTER WHERE IT RESIDES – PUBLIC CLOUD,
PRIVATE CLOUD, MANAGED SERVICE, ON SHORE, OFF SHORE, ALL
DATA BASES, WITH A CONSISTENT AND SCALABLE PLATFORM
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19. Predictive Maintenance with Event
Processing and Analytics
The Challenge: Sensor data for over 5,000+ aircraft; need to lower maintenance cost and service outages; No proactive
capability to predict when a safety issue might occur; Once-per-day sensor readings moving to real-time, over-the-air
The Solution
Expected Result
• Lower maintenance
cost.
• Quicker service time.
• Real-time sensor data
and over the air
analytics
• Proactive
measurement to
predict safety issues.
Big Data
“What causes an
oil pump to fail?”
Analytics
“What are the
indicators that lead to
a failure?”
Event Processing
“Detect these indicators in
real-time to alert for a
potential failure!”
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20. VOLVO Connected Car
The Challenge: Real-time monitoring of moving cars to detect and warn other drivers of safety
and hazardous road conditions. Criteria include support for multiple ”events”, geospatial, and temporal
windows.
The Solution Expected Result
• Cloud connected cars.
• Bi-directional event
messaging.
• Real-time geospatial
processing and Most
Probable Route Path of
vehicles.
• Improve Customer
Experience
• Improve Customer
Safety.
Data
Vibe
Stream
Data
Vibe
Stream
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21. Unimaginable Possibilities: A Wave of Disruption
Didi
Chuxing
WeChat Taobao
Owns no vehicles Has no inventory
Creates no content
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22. ©2017 Informatica. Proprietary and Confidential
“eCommerce is just the first phase of Alibaba’s
entire strategy… our ultimate strategy is to build
the future infrastructure for global commerce.”
Zhang Jiangfeng, CTO
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23. Five customer lessons
• The data challenge, and the potential to be disrupted, is going to create huge
opportunities for competitive dominance and success
• Make data a strategic imperative at the board level focusing on vision, people,
platform and process across the enterprise
• Don’t be distracted by the complexity of the past – now is the right time to create
a data integration plan, design a data governance model and actively manage
data security
• Manage data no matter where it resides – Public Cloud, Private Cloud, managed
service, on shore, off shore, all data bases, with a consistent and scalable
platform
• SOLVE THE IMPORTANT ISSUES THAT HAVE THE BIGGEST IMPACT –
DON’T GET BOGGED DOWN FIXING LEGACY DATA CHALLENGES
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24. The new control point
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Business Applications
Data Stores
DATA IS THE NEW CONTROL POINT
1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0
0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0
1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1
1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1
0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0
0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1
0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0
1 1 0 0 1 1 1 0 0 1 0 1 0 1 1 1 1 0 0 1
1 1 0 0 1 0 1 0 1 1 1 1 0 0 1 1 1 0 0 1 0
1 0 1 1 1 1 0 0 1 1 1 0 0 1 0 1 0 1 1 1 1 0
0 1 1 1 0 0 1 0 1 0 1 1 1 1 0 0 1 1 1 0 0
1 0 1 0 1 1 1 1 0 0 1 1 1 0 0 1 0 1 0 1 1 1
0 0 0 0 0 0 1 1 0 0 1
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25. Capabilities required for data agile organisations
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Cloud,
On-premise
and Hybrid
Traditional
data and
Big Data
Business
users and
IT users
Integration
with your
applications
and
environment
Heterogeneous
– support all
major
platforms
Enterprise-
class reliability
and
performance
End-to-end
data
management
and
governance
Data First Requirements
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26. The New Control Point
Business Applications
Data Stores
1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1
1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1
1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0
1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1
1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0
1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0
0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1
1 1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1
0 1 1 1 0 0 0 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 0
1 1 0 0 1 1 1 0 0 1 0 1 0 1 1
1 1 0 0 1 1 1 0 0 1 0 1 0 1 1 1
1 0 0 1 1 1 0 0 1 0 1 0 1 1 1 1
0 0 1 1 1 0 0 1 0 1 0 1 1 1 1 0
0 1 1 1 0 0 1 0 1 0 1 1 1 1 0 0
1 1 1 0 0 1 0 1 0 1 1 1 1 0 0 1
1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1
DATA IS THE NEW CONTROL POINT
1 1 0 0 1 1 1 0 0 1 0 1
0 1 1 1 1 0 0 1 1 1 0 0
1 0 1 0 1 1 1 1 0 0 1 1 1
0 0 1 0 1 0 1 1 1 1 0 0 1
1 1 0 0 1 0 1 0 1 1 1 1 0
0 1 1 1 0 0 1 0 1 0 1 1 1 1
0 0 1 1 1 0 0 1 0 1 0 1
1 1 1 0 0 1 1 1 0 0 1 0 1
0 1 1 1 0 0 0 0 0 0 1 1 0 0 1
1 1 0 0 1 1 1 0 0 1 0 1 0 1 1
1 1 0 0 1 1 1 0 0 1 0 1 0 1 1 1
1 0 0 1 1 1 0 0 1 0 1 0 1 1 1 1
0 0 1 1 1 0 0 1 0 1 0 1 1 1 1 0
0 1 1 1 0 0 1 0 1 0 1 1 1 1 0 0
1 1 1 0 0 1 0 1 0 1 1 1 1 0 0 1
1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 11 1 0 0 1 1 1 0 0 1 0 1 0
1 1 1 1 0 0 1 1 1 0 0 1 0
1 0 1 1 1 1 0 0 1 1 1 0 0 1
0 1 0 1 1 1 1 0 0 1 1 1 0 0
1 0 1 0 1 1 1 1 0 0 1 1 1 0
0 1 0 1 0 1 1 1 1 0 0 1 1 1
0 0 1 0 1 0 1 1 1 1 0 0 1 1
1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0
0 1
1 1 0 0 1 1 1 0 1 0 1 0 1 1 1
1 0 0 1 1 1 0 0 1 0 1 0 1 1 1 1
0 0 1 1 1 0 0 1 0 1 0 1 1 1 1 0
0 1 1 1 0 0 1 0 1 0 1 1 1 1 0 0
1 1 1 0 0 1 0 1 0 1 1 1 1 0 0 1
1 1 0 0 1 0 1 0 1 1 1 1 0 0 1 1
1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1
1 1 0 0 1 1 1 0
0 1 0 1 0 1 1 1 1
0 0 1 1 1 0 0 1
0 1 0 1 1 1 1 0 0
1 1 0 0 1 1 1 0 0 1 0 1 0 1 1
1 1 0 0 1 1 1 0 0 1 0 1 0 1 1 1
1 0 0 1 1 1 0 0 1 0 1 0 1 1 1 1
0 0 1 1 1 0 0 1 0 1 0 1 1 1 1 0
0 1 1 1 0 0 1 0 1 0 1 1 1 1 0 0
1 1 1 0 0 1 0 1 0 1 1 1 1 0 0 1
1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1
1 1 0 0 1 1 1 0
0 1 0 1 0 1 1 1 1
0 0 1 1 1 0 0 1
0 1 0 1 1 1 1 0 0
1 1 1 0 0 1 0 1 0
1 1 1 1 0 0 1 1 1
0 0 1 0 1 0 1 1 1 1
0 0 1 1 1 0 0 1 0
1 0 1 1 1 1 0 0 1
1 1 0 0 1 0 1 0 1
1 1 1 0 0 1 1 1 0
0 1 0 1 0 1 1 1 0 0 0
0 0 0 1 1 0 0 1
1 1 0 0 1 1 1 0 0 1 0 1 0 1 1
1 1 0 0 1 1 1 0 0 1 0 1 0 1 1 1
1 0 0 1 1 1 0 0 1 0 1 0 1 1 1 1
0 0 1 1 1 0 0 1 0 1 0 1 1 1 1 0
0 1 1 1 0 0 1 0 1 0 1 1 1 1 0 0
1 1 1 0 0 1 0 1 0 1 1 1 1 0 0 1
1 1 0 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 1
1 1 0 0 1 1 1 0 0 1
0 1 0 1 1 1 1 0 0 1
1 1 0 0 1 0 1 0 1 1 1 1
0 0 1 1 1 0 0 1 0 1
0 1 1 1 1 0 0 1 1 1 0
0 1 0 1 0 1 1 1 1 0 0
1 1 1 0 0 1 0 1 0 1 1 1
1 0 0 1 1 1 0 0 1 0
1 0 1 1 1 1 0 0 1 1 1
0 0 1 0 1 0 1 1 1 0 0 0 0 0
0 1 1 0 0 1
INTELLIGENT DATA PLATFORM
OPERATIONAL MANAGEMENT
INTELLIGENT METADATA
Data
Security
Big Data
Management
MDM
Data
Quality
PROCESSING / COMPUTE ENGINE
CONNECTIVITY
Data
Integration
Cloud Data
Management
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27. ©2017 Informatica. Proprietary and Confidential
Future-proof your investment with Informatica
Over $2 billion
investment exclusively
focused on
Data Management
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revenue
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27
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28. Capabilities for Data First Organisations
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Informatica is uniquely qualified to be your
strategic partner for data management
Data First Requirements
28

29. Thank You