PwC Insurance Facts and Figures 2011 - PricewaterhouseCoopers
PwC Insurance Facts and Figures 2011 - PricewaterhouseCoopers
PwC Insurance Facts and Figures 2011 - PricewaterhouseCoopers
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
• Have you assessed the efficiency <strong>and</strong> cost-effectiveness of your current data <strong>and</strong> systems<br />
architecture <strong>and</strong> processing?<br />
• Do you have a way to measure <strong>and</strong> report on data quality as well as to identify, investigate<br />
<strong>and</strong> remediate data quality issues?<br />
• Do you actively monitor <strong>and</strong> independently assess the effectiveness of your data quality<br />
controls?<br />
• Do you place reliance for data quality on controls in the actuarial process?<br />
Figure 2: A framework for managing data quality<br />
• Identify the key data used by the business<br />
• underst<strong>and</strong> all stages of the data life cycle<br />
• Identiy <strong>and</strong> assess relevant risksinternal<br />
<strong>and</strong> external.<br />
Data lineage<br />
What is the key<br />
data the business<br />
relies on <strong>and</strong><br />
what risks is that<br />
data exposed to?<br />
• Provide organisational commitment<br />
• Design <strong>and</strong> implement quality controls<br />
to mitigate the key risks<br />
• Assign accountabilities for data<br />
quality activities<br />
• Link data quality controls to KPIs <strong>and</strong><br />
measure KPIs <strong>and</strong> measure performance.<br />
• Undertake routine data profiling activities to<br />
look for unexpected/unusual data<br />
• Ongoing measurement <strong>and</strong> reporting of the<br />
status of data quality to report trend <strong>and</strong><br />
key areas for focus.<br />
Prevention<br />
strategies<br />
Detection<br />
strategies<br />
Have you implemented<br />
the right procedures<br />
<strong>and</strong> controls to help<br />
mitigate these risks?<br />
Do you have<br />
mechanisms to detect<br />
anomalies in the data?<br />
Continuous Improvement <strong>and</strong> change<br />
• Culture<br />
• Change<br />
management<br />
• Stakeholder<br />
engagement<br />
• Metrics <strong>and</strong><br />
measurement<br />
• Continuous<br />
monitoring<br />
• Independent<br />
assessments.<br />
• Establish mechanisms to identify <strong>and</strong><br />
manage data quality issues, incidents <strong>and</strong><br />
responses<br />
• Establish change control measures<br />
• Conduct regular independent valuations.<br />
Process<br />
Improvement<br />
People<br />
Do you have a way to<br />
track progress, manage<br />
change as well as identify,<br />
investigate <strong>and</strong> remediate<br />
data quality issues?<br />
Governance<br />
Conclusion<br />
• Data is the lifeblood of an insurance organisation, but there are many challenges <strong>and</strong><br />
risks in getting the data right. Typically many parties, processes, systems <strong>and</strong> data flows<br />
exist, with the weakest link in the chain determining the ultimate data quality.<br />
• Being in control of your data will help you protect current value <strong>and</strong> reputational risk,<br />
support the improved performance of the business, <strong>and</strong> deliver future value.<br />
• Issues with data will continue to arise unless a solution is adopted which establishes the<br />
right governance, risk management <strong>and</strong> controls over the key data used by the business.<br />
<strong>PwC</strong> Contacts<br />
Robin Low<br />
t: +61 (2) 8266 2977<br />
e: robin.low@au.pwc.com<br />
Sheetal Patole<br />
t: +61 (2) 8266 3977<br />
e: sheetal.patole@au.pwc.com<br />
<strong>Insurance</strong> <strong>Facts</strong> <strong>and</strong> <strong>Figures</strong> <strong>2011</strong> 23