Comparison Summary
This comparison report of Giva vs. Ivanti Xtraction is based on a specific set of business needs and context. The comparison uses 2845 Cuspera insights based on peer reviews, case studies, testimonials, and expert opinions across 50+ sources.
Introducing Giva and Ivanti Xtraction
Giva, Helpspot, HaloITSM, etc., belong to a category of solutions that help Help Desk, whereas Ivanti Xtraction belong to a category of solutions that help Business Intelligence. Different products excel in different areas, so the best platform for your business will depend on your specific needs and requirements.
Giva covers Helpdesk Management with Mobile, Customer Feedback Management with Mobile, Workflow Management with Mobile, Knowledge Management, etc.
Ivanti Xtraction focuses on Sales Document Management, Helpdesk Management with Phone Calls, Workflow Management, Competitive Intelligence, etc.
Unsure which of these solutions is right for you? Our Cuspera AI engine can compare them based on your needs and specific to your industry and context. Get your personalized report today.
About
Cloud Customer Service Software | Giva
IT Business Intelligence Tools & Solutions | Ivanti
Financials
PRIVATE
Business Need
Total Processes
(we found evidences for)
25
40
Total Goals
(we found evidences for)
5
8
Top Processes
Evidences indicate better relative satisfaction
Top Goals
Goals Achieved
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Improve ROI
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Acquire customers
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Increase sales & revenue
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Enhance customer relationships
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Scale best practices
- See 2 more
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Scale best practices
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Improve ROI
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Improve efficiency
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Enhance customer relationships
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Manage risk
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Improve consistency
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Improve brand engagement
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Acquire customers
- See 5 more
Top Channels
Channels Used
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phone calls
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mobile
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social media
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offline
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on premises
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promotions
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website
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mobile app
- See 5 more
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phone calls
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mobile
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social media
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offline
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on premises
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promotions
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website
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mobile app
- See 5 more
Failure Risk Guidance Security Report?
Compliance Risk
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Security & Privacy Risk
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Integration Risk
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Migration Risk
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IT and Other Capabilities
- Low
- Medium
- High
