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<ul><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>DATA QUALITY IN A BIG DATA WORLD </p><p>Jos van Dongen SAS Nederland </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>Barcelona </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>INCORPORATE DATA GOVERNANCE DEFINE RULES AND POLICIES GOVERNING DATA </p><p>Who is responsible to maintain this data? </p><p>And where? </p><p>Where can I get this </p><p>information? Is the </p><p>quality of data </p><p>improving? </p><p>How am I supposed to use this </p><p>data? </p><p>What data quality </p><p>standards should this </p><p>data comply to? </p><p>Who can approve a </p><p>change to the business </p><p>data model or reference </p><p>data? </p><p>Are we compliant </p><p>with security, </p><p>privacy and risk </p><p>regulations? </p><p>How to leverage </p><p>the value of this data? </p><p>Are we making the most out of our data? </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>Data Quality? </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>DATA MNGT BUILDING BLOCKS DATA QUALITY </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>BUSINESS USER BUSINESS GLOSSARY </p><p>Trace data from source to consumer and all the </p><p>steps in between </p><p>Document what has been done to data and how it </p><p>has been transformed </p><p>Govern who has access to data and who has </p><p>consumed data </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>DATA QUALITY GOVERNANCE CYCLE </p><p>Iterative process where Business </p><p>and IT work together on </p><p>Data Governance </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>DATA QUALITY PROFILE </p><p>Interactively quickly discover anomalies in the </p><p>data </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>DATA QUALITY BUSINESS RULE VALIDATION </p><p>Validate whether the data complies to </p><p>quality standards </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>DATA QUALITY DATA CLEANSING: PARSING &amp; STANDARDIZING </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>DATA QUALITY REMEDIATION </p><p>Review and resolve issues on a case by </p><p>case basis </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>DATA QUALITY DASHBOARD </p><p>Real-time information when data is out of </p><p>compliance with established data </p><p>policies </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>Conclusion </p><p>#BigData = Data (duh) </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>or is it? </p><p> Most data assets come from within company Focus on structured data Look at data to assess what occurred in past The goal is that each single record is correct Good database design requires years Pay attention to data stocks* Business users have to ask IT for analysis There are clearly defined information requirements for each business process </p><p> A large proportion of data come from outside Focus on structured and unstructured data Real-time analysis to improve the outcome The goal is that analytics results are accurate Database as moving target, quick cycles Pay attention to data flows* Business users conduct analysis themselves All internal and external data sources are used to gain best insight in a given situation </p><p>Traditional data management Big Data Analytics World </p><p>Source: Alexander Borek, Data Quality Strategy in a Big Data Analytics World </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>By 2017, 50% of all companies in regulated industries will have a Chief Data Officer. </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>SAS INFORMATION MANAGEMENT </p><p>A single platform. A singular approach to better data. </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p></li><li><p>Copyr igh t 2014 , SAS Ins t i tu te Inc . A l l r i gh ts reserved . </p><p>NOG VRAGEN??? </p></li></ul>

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