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PwC Insurance Facts and Figures 2011 - PricewaterhouseCoopers

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• 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

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