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NASSCOM Big Data and Analytics Summit 2014 - Competing with analytics in the connected world -...
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Transcript of NASSCOM Big Data and Analytics Summit 2014 - Competing with analytics in the connected world -...
Competing with analytics in the connected world
Michael SvilarManaging Director Global Advanced Analytics Lead
We Speak analytics.
Copyright © 2014 Accenture All rights reserved. 2
The Internet of Things (IoT) that people expect
Interconnected devices, contextual data, and central orchestration combine to allow subtle yet rich push services
Employee connections
Health & fitness Asset management
Energy conservation
Customer experience
Personal security
Smart buildings
Lighting systems
These services adapt around people in real time, helping make their lives more streamlined, efficient, productive, healthy, and fun.
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This brings changes and a new world order …
• All things become Data Everything becomes Quantifiable Everything becomes Programmable
Everything becomes Social Every Company is a Digital CompanyMobile Phone become Ubiquitous
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… and impacts business
Business Drivers
Risk Avoidance
Efficiency & Cost Savings
New Services & Business Models
Applications
Cities
Car
Supply Chain MaintenanceAsset Management
Logistics Health Care
Home Retail Policing
Buildings
Family
5Copyright © 2014 Accenture All rights reserved.
But wait…there’s too much data!
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Big Data in the Enterprise
The Focus:
Driving from Issuesto Outcomes
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Four Key Challenges
1 Leveraging the proliferation of data and new technologies to get a new perspective on the business
2 Applying machine learning and data science techniques to deconstruct and predict potential customer behaviour and enterprise performance
3 Providing asset-powered agility to address constantly shifting analytics needs
4 Embedding analytics into the operating model and aligning the organization, processes and technology to enable a scaled, data-driven enterprise
7
Scaling the Data-driven Enterprise
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How insights derived from the analytics get used
Use Analytics for • Insurance cost
reduction• Improved safety &
security services• Product quality
improvement• Maintenance cost
reduction• Increased reliability
and service levels
Leveraging big data, companies are driving value in the connected world
Connected Car
Use advanced analytics to provide accurate forecasts of traffic volume and congestion to aid network planners, understand how equipment, devices and links enhance the customer experience & optimize resource allocation
Network Analytics
Use of analytics to detect and report on unwanted behavior, such as violence, vandalism and traffic violation
Safe City
Use analytics to monitor applications across the water value chain for deriving efficiencies in:• Plant performance• Leakage & pressure
management• Catchment flow
control• Sludge
management
Smart Water
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Big Success with Big Data: Overwhelming Satisfaction
94% Actual users who are fully satisfied with
their business outcomes
We surveyed 1,007 target clients over the past few months
39% of companies originally contacted for the survey have not completed a big data project
Organizations that have completed successful pilots attribute strong business cases to big data.
100% Actual users who report that their
implementation is meeting their needs
84% Actual users who believe big data will
revolutionize operations the same way the Internet did
98% Actual users who believe big data is
very important to their transformation into digital
In India:
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Immediate Impact: Where Big Data is Used Today
India respondents are slightly more likely to use big data for a variety of purposes
Analyzing customer behavior
Bringing together different data sources
Improving personalization of customer
Making data a revenue generator, not just a supporting function [Data as a platform]
Enhancing responsiveness to market dynamics
Generating reports faster than currently possible
Enhancing customer relationships
Developing new products/services
Identifying cost reduction opportunities
65%
63%
59%
51%
51%
41%
37%
33%
14%
India
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Implementation: Big Data Demands Big Learning
Security, budget, talent are challenges
Security
Budget
Lack of talent to implement big data
Lack of talent to run big data and analytics on an ongoing basis
Integration with existing systems
Procurement limitations on big data vendors
Enterprise not ready for big data
Lack of executive sponsorship
59%
49%
53%
43%
25%
45%
41%
6%
India
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Big Data in the Enterprise
Biggest impacts in the next five years (top three)
25%
37%
59%
57%
43%
78%Impacting customer relationships
Redefining product development
Changing the way we organize operations
Making the business more data-focused
Optimizing the supply chain
Fundamentally changing the waywe do business
India
13Copyright © 2014 Accenture All rights reserved.
Think Big
Focus on Talent
Drive Informed Decisions
Talent powers the analytics machine. High performers use a multi-pronged talent sourcing strategy, managing and developing the talent they have well, and show a willingness to go outside the organization to secure talent wherever they can find it.
High performers think big: bigger investments in creating a culture of analytics; and bigger thinking when thinking big data, using a variety of data sources and have a broader awareness of what big data is and how it can be used. How they invest is the key to high performance, and the gap is widening.
High performers in analytics are fact-based and outcome-focused. They obsess about outcomes and ultimately invest smarter. Yet the best decision-making comes from blending data with judgment. Empowering all people—not just data scientists—with the business acumen and the right data at the right time to drive decisions is critical.
Accenture Analytics Journey to ROIDelivering higher performance outcomes
Gaining Insights from the Leaders
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What does this mean for Analysts
1 Analytics work will change how it is done. Analysts won’t be running analytics on the data, but will be architecting systems to run the analytics
2 The actual analytics work will be done on machines removed from the analysts
3 The war for analytics talent will continue to heat up, and drive up wages and salaries of analytics talent
4 Analytics will become ubiquitous, like the furniture, and certainly in the furniture
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Thank you