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Consulting Services

At JUMPER we look at data differently. We offer a variety of professional solutions - including support and consulting services - for organizations mired in complex data integration projects, or looking to leverage their fragemented data landscape to further research goals.

Jumper helps companies in the Life Sciences leverage the full power of all thier data. We offer a range of flexible technical and business consulting services. These bring decades of successful data management and data integration experience to bear on your project, or research environment. In paritucular, we help companies leverage the value of proprietary and public data repositories with our innovative software for automating the extraction, staging, transformation, and loading of any data, in any location, in any schema or format.

About our consulting services

Jumper consulting engagements are typically short-term or periodic in nature to provide you expert assistance at various stages of the data lifecycle. All engagements are delivered by knowledgeable Jumper consultants that have an in-depth understanding of deploying successful data migration and integration initiatives, the technical capabilities of the Jumper platform, and how they are best used and applied in the real world pre-clinical and clinical environment.

Because of the customized nature of each individual engagement and to ensure project success and adequate follow-up, a statement of work must be agreed to in advance.

For more information about our services click here and ask for someone to contact you at your earliest convince.


  Experience in the Life Sciences

We are data integration specialists, we understand all to well the common frustrations of integration projects. Our unique approach to data cleansing is taken from a whole new perspective - one learned through trial and error. We have sat in many stressed out conference rooms and listened to complaints about the lack of requirements, constantly changing data dictionaries, and poorly developed models. We have read countless data architecture reports, data cleansing strategies, and data conversion spreadsheets of varying quality and completeness. And we have spent many late nights muttering no more custom transformations scripts, no more debugging with poor toolsets - all this has given us plenty of insight.

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