Expert Services
Strategically Designed Technical Training
At Skura, we understand the critical role that training and service must play. All SFX Expert Services team members offer their experience in all aspects of Closed Loop Marketing design, development, and deployment to help mitigate risk as well as ensure Closed Loop Marketing success. Each Expert Services team member has direct access to the SFX product team providing unparalleled technical support, ensuring the optimal implementation of SFX and Closed Loop Marketing practices based on the unique needs of each business.
SFX Expert Services offerings include:
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CLM Workshops
Provide direction for optimal Closed Loop Marketing adoption, integration and delivery, while maintaining a low total cost of ownership, achieving high user adoption, and increased sales.
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Business Process and Methodology Reviews
Review and analyze business processes and procedures currently in use for integration with SFX Closed Loop Marketing processes and methodologies.
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Technical Reviews
Identify technical issues before key milestones to ensure appropriate use of SFX features and technology, and to identify potential technical issues. Provide clear and achievable recommendations to mitigate or eliminate any issues.
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Implementation-specific Technical Support
Provide assistance to develop or support specific and complex technical requirements, extending the out-of-the-box SFX functionality to meet business needs. Troubleshoot implementation and CRM / Content integration issues.

Find out who we are. Watch this message from our CEO and find out how Skura’s suite of products and dedicated support staff can help your business or brand.
Mission
Continually improve on the customer experience using technologies as a foundation.
Foundation
Technology is simple and requires very little additional overhead in terms of integration costs.
Components
Modular and designed with Web 2.0 architecture to allow full participation in the cloud.
Data
Capture granular level of detail today to allow maximum value in future predictive modeling initiatives.

