Henrik Liliendahl Sørensen

Henrik Liliendahl Sørensen
Henrik has worked in the IT business since 1980 with application development, migration, project management and business management in a large range of business areas as government, insurance, manufacturing, membership, healthcare, public transportation, retail and more. Since 1995 he has focused on Data Quality Improvement and Master Data Management. He's keen on exploring new frontiers within data quality and the use of master and reference data. Today he is the owner of London-based consultancy, Liliendahl Limited. He is very active in the social media community around data quality and MDM. This includes having a blog called Liliendahl on Data Quality and being the moderator of 3 groups on LinkedIn: Data Matching, Multi-Domain MDM and Social MDM. See http://liliendahl.com for more from Henrik.

Social MDM and Future Competitive Intelligence

As if Master Data Management (MDM) as we know it today isn’t hard enough, we may have new challenges (and opportunities) ahead related to the drastic growing of social networks and the appetite among organizations for digging into big data.

In traditional MDM we aim to optimize the identification and descriptions of the who, what and where in traditional systems of record. Basically we handle our own products, our present suppliers, our current customers and known prospects and the related locations. When moving on to Social MDM we aim to link those entities to the who, what and where in systems of engagement so we may better handle descriptions of our own products, collaborate with suppliers and follow our customers and known prospects footprint in the digital world. (more…)

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Posted in Identity Resolution, Master Data Management | Tagged , | 1 Comment

Five Future Data Matching Trends

Data matching is a core element in many deployments of data quality tools and master data management solutions.

Most data matching implementations are revolving around matching names and addresses. The classic business goals for a data matching activity are removing duplicates and thus avoiding sending the same material twice or even more times to the same real world individual either as a private person or a business contact. (more…)

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Posted in Big Data, Cloud Computing, Data Quality | Tagged , , , , , , , , | 5 Comments