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Sypherlink Accelerates Data Integration

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Key Technologies Enabling a Seismic Shift in Enterprise Data Management
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1. Do you currently have any data integration projects planned?
Yes, currently Yes, within 6-12 months Yes, but no timeframe No current plans If yes, how many data sources are involved in the integration?
2. What are the primary business drivers for your data integration projects?
Mergers & aquisitions Compliance & regulatory Changing requirements Data silos Other
3. Who controls the budget for your data integration projects?
Project Manager Compliance Manager Data Architect IT Director Other
4. What technologies/techniques do you anticipate using in upcoming projects?
Physical data warehouse Federated (virtual) data warehouse Extract, transform & load (ETL) tool Metadata repository Other
5. What is the primary goal of your upcoming data integration projects?
Single view of customer data Business intelligence and analytics Master data management Other
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White paper abstract:

An externally- driven generational change is reshaping the data management landscape today. The traditional approach to enterprise data management created an organization structured around skill sets, such as data modeling and database administration, and activities that were often application-driven.

Data management activities are regrouping, as enterprises do the following: recycle enterprise architectures, seek to protect themselves from risks arising from compliance and regulation failures, and strive to rationalize information to improve business agility.

The adoption of these new enterprise architectures to support rapid change – while delivering the necessary governance – is best achieved by the creation of the necessary supporting infrastructures and by the understanding and rationalization of information assets. This critical understanding and rationalization is being supporting and enabled by two key initiatives: data lineage and metadata management.

This paper describes the importance of data lineage and metadata management as key enablers for these initiatives, and discuss how emerging technology is beginning to address this growing need with automated tools which can share metadata in a complementary way across an organizations information sources.

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