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Sypherlink Accelerates Data Integration

Sypherlink Tackles Messiest of Data Integration Dilemmas

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Accelerating Data Integration Initiatives with Automated Data Discovery and Rapid Prototyping
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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:

CIO’s are responsible for meeting the integration needs of the organization despite the time, budget and resource challenges they face on a daily basis. Manual processes and lack of subject matter expertise continues to stall enterprise data sharing initiatives such as business intelligence, data warehousing and countless other data integration projects. Although technology exists to automate much of the integration process, data discovery, mapping and prototyping are still highly manual processes that contribute to high costs and missed deadlines. This paper discusses the challenges these processes pose and describes Sypherlink’s productivity toolset for automating these tasks, accelerating project timelines, reducing project risk, and providing a faster time-to-value.

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