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Rethinking the Risk Business: Data and Analytics in the Insurance Industry
1. DATA & ANALYTICS
Rethinking the Risk Business:
Data and Analytics in the Insurance Industry
Featuring highlights of the State Street 2013 Data and Analytics Survey
conducted by the Economist Intelligence Unit
2. DATA & ANALYTICS
About the Research
A global survey of more than 400 asset managers and institutional asset owners on investment data
and analytics, conducted by the Economist Intelligence Unit on behalf of State Street (August and
September 2013). More than 200 asset owners participated in the survey.
Respondents by Region
Respondents by Type
8%
20%
33%
8%
34%
16%
18%
33%
North America
Europe
Asia Pacific
11%
Diversified Asset Managers
Traditional Asset Managers
Alternative Asset Managers
Source: State Street 2013 Data and Analytics Survey conducted by the Economist Intelligence Unit
19%
Banks
Insurers
Pension Funds
Other
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3. DATA & ANALYTICS
Five Drivers of Change in the Insurance Industry
Advanced data capabilities will be key to meeting many of the industry’s
most pressing challenges
Strategic impact
Data challenge
More stringent risk
Regulators are demanding greater
management standards transparency
Collect, extract, standardize and report on
the right metrics and information
Competitive pressure
Insurers need to identify opportunities
for performance improvements and
enhancing investment returns
Tools that enable better decisions on
allocation and ability to execute rapidly on
opportunities
Regulatory complexity
Massively increased reporting
requirements imposing compliance
costs and complexity on the business,
and requiring changes to asset
allocation
Flexible platforms that enable data to be
collected, transformed and reported on
across multiple regulatory regimes; the
need for closer alignment between capital
management and investment approach
Growing volume of
trading data
Proliferation of data across multiple
platforms and systems
Better integration and standardization of
data, and multi-asset class trading
platforms
Better tools to drive
investment
performance
New investment goals and tighter
performance management
Custom benchmarks that align
performance metrics with insurance firms’
specific objectives
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4. DATA & ANALYTICS
Insurers are Investing Heavily to Keep Pace
% Change In Investment into Data and Analytics Over Past Three Years
(Insurer respondents only)
Significantly increased our investment (>20%)
13%
Slightly increased our investment (1-20%)
75%
Made no change
Slightly decreased our investment (1-20%)
Significantly decreased our investment (>20%)
7%
3%
1%
Source: State Street 2013 Data and Analytics Survey conducted by the Economist Intelligence Unit
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5. DATA & ANALYTICS
Investment is Targeted at Front-Office Execution and Decision-Making Tools
How Investment Will Be Prioritized Across a Range of Data Tools
(Insurer respondents only)
Order Management Systems /
Execution Management Systems
49%
• Order management tools are
an investment priority
Performance analytics
27%
• Spend on data and analytics
will continue to grow
Portfolio optimization
28%
• Need to move closer to realtime information
Benchmark data
25%
34%
Risk analytics
15%
Significant increase
Source: State Street 2013 Data and Analytics Survey conducted by the Economist Intelligence Unit
51%
42%
43%
46%
Slight increase
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6. DATA & ANALYTICS
Data and Analytics are Now a Firm Priority for Insurers…
Data is the Key to Addressing a Wide Range of Strategic Concerns
(Insurer respondents only)
18%
• 82 percent of insurers view data and
analytics as a high strategic priority
• For 31 percent, data and analytics is
the most important strategic priority
31%
0%
51%
0%
It is the most important strategic priority
It is a high strategic priority (near the top)
It is a mid-level strategic priority
It is a low-level strategic priority (near the bottom)
It is not a strategic priority
Source: State Street 2013 Data and Analytics Survey conducted by the Economist Intelligence Unit
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7. DATA & ANALYTICS
Yet the Industry is Polarized by Its Approach
Data is a competitive asset …
But few know how to use it
• 61 percent of insurers think data will be a
key source of competitive advantage in the
future
• Only 21 percent of insurers are reaping the
full benefits from their data and analytics
capabilities today
• 88 percent increased investment in data
infrastructure in the past three years
• Our research reveals that a capability gap
is opening up between data leaders and
data laggards
An Industry
Divided by Data
1. “Data Leaders” – Companies in the survey whose data and analytics are
already a source of competitive advantage
2. “Data Laggards” – Have yet to gain full benefit from their data
Source: State Street 2013 Data and Analytics Survey conducted by the Economist Intelligence Unit
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8. DATA & ANALYTICS
Data Leaders are Better Prepared for the Challenges Ahead
Leaders
Data leaders are more confident in ...
Laggards
% confident in capability (All respondents)
70%
• Generating forward-looking insights
from data
43%
72%
• Integrating risk and performance analytics
50%
• Optimizing their electronic trading strategies
64%
53%
By contrast, data laggards are …
• More likely to get distracted by the
complexity of data management
X
% agree with statement (All respondents)
7%
33%
• Less likely to feel their data capabilities are
keeping pace with the growth of their
business
Source: State Street 2013 Data and Analytics Survey conducted by the Economist Intelligence Unit
92%
50%
8
9. DATA & ANALYTICS
Data Leaders Have Smarter Tools for Managing Risk, Compliance
and Performance
% that view area as a strength (All respondents)
Leader
81%
Tools for regulatory compliance
Laggard
63%
Leader
60%
Multi-asset class risk tools
Laggard
38%
Leader
70%
Custom benchmarks/indices
Laggard
Source: State Street 2013 Data and Analytics Survey conducted by the Economist Intelligence Unit
59%
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10. DATA & ANALYTICS
Defining a New Service Model
Data Readily Available
Adaptable Systems
Smarter Insights
Challenge
• Timeliness of data is the
top data challenge for
insurers (cited by 37
percent)
• Systems must adapt to
support multiple
geographies, asset
classes and regulatory
regimes
• Only 13 percent of
insurers have all of
the talent they need
to manage data
effectively
Solution
• More advanced decisionsupport tools that are
better integrated with
enterprise databases
• Systems that support
global reporting
• New outsourcing
models focused on
insight as well as
cost
• Integrated view on risk
and performance
Source: State Street 2013 Data and Analytics Survey conducted by the Economist Intelligence Unit
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11. DATA & ANALYTICS
In Summary: Optimizing the Investment Engine
Get Smart on Risk
• The industry needs tightly-integrated solutions to manage today’s multiasset portfolios
Manage Regulation
• Develop reporting systems with the flexibility to meet evolving
regulatory demands across multiple jurisdictions
Integrate Your Data
• Insurance firms need to invest in enterprise data warehouses and
better data governance
Accelerate Investment
Decisions
• Better, more accurate and timely data is key to making better
investment decisions and being able to act on these insights in real
time
Future-Proof Your
Systems
• Insurance firms need flexible systems that can adapt as investment
goals and strategies evolve
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