data & analytic innovations: 5 lessons from our customers

Data & Analytic Innovations: 5 lessons from our customers

[email protected] 7th March 2017 Sydney, Australia

Nicholas Smith Managing Director, Australia and New Zealand AUCKLAND, Tuesday 18th October, 2016

Generational market shifts in data

©2017 Informatica. Proprietary and Confidential

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

1996

2016

2001

2002

©2017 Informatica. Proprietary and Confidential 3

2013


2013

2016


Five customer lessons

•  THE DATA CHALLENGE, AND THE POTENTIAL TO BE DISRUPTED, IS GOING TO CREATE HUGE OPPORTUNITIES FOR COMPETITIVE DOMINANCE AND SUCCESS


Data Powers Business


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’

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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


92%

35%

High Growth Firms

Low Growth Firms

Executives Thinking Data First

Source: “The Data Directive”. Economist Intelligence Unit

Only 4% of companies are part of the “Information Elite”


•  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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Businesses must embrace an outcome focused, data-first culture



•  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


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


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




•  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


Cloud Waves Drive New Data Requirements


SaaS integration •  LOB •  Simplicity •  Cost savings

Strategic initiatives •  Big data •  Internet of Things •  Microservices

Ris

k / V

alue

First wave Second wave Third wave

PaaS adoption •  Workloads shift •  DBaaS, DWaaS,

Cloud BI •  Hybrid environment

Source: 451 Research

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Adoption and Budgets are Shifting Rapidly to Cloud

©2017 Informatica. Proprietary and Confidential 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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•  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


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!”


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.

DataVibe

Stream

DataVibe

Stream


Unimaginable Possibilities: A Wave of Disruption

Didi Chuxing WeChat Taobao

Owns no vehicles Has no inventory

Creates no content



“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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•  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


The new control point


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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Capabilities required for data agile organisations


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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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

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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 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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Capabilities for Data First Organisations


Informatica is uniquely qualified to be your strategic partner for data management

Data First Requirements

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data & analytic innovations: 5 lessons from our customers

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