Top Cloud Cost Optimization Services in Gurgaon

Cost Optimization

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Simplify Cost Optimization & Management with CloudFence

CloudFence offers strategy and operation consulting services that drive measurable cost optimization gains for our clients. Our cost optimization guidance is backed by our world-leading benchmarking and business best practices database. With this, we have completed 15,000 benchmarking engagements with major companies, that give clients unparalleled fact-based insight into the strategic and tactical drivers of world-class performance.

CloudFence can help your organization

Definition of process metrics, including finance, HR, and IT metrics, to help gauge your current operational performance and to measure your progress.
Benchmarking of your current performance in comparison to that of world-class organizations, in order to identify key performance gaps and to prioritize near-term and long-term areas for improvement.
Development of an optimized service delivery model, with careful consideration of sourcing options including shared services, outsourcing, and offshoring.
Business process engineering, including selection and implementation of proven best practices to drive cost optimization within each back-office function.

Benefits of our Cost Optimisation

Cost Savings: CloudFence will help you to turn complex planning into simple decisions that drive significant savings on your environment spend.

Proactive Utilization Planning: CloudFence will provide ongoing recommendations for your investments, optimizing overall IT consumption planning.

Intelligent Recommendations to Purchase: CloudFence provide proactive recommendations powered by machine-intelligence (MI) to improve your ROI.

Purchases Management: CloudFence will Identify opportunities to ensure all prepaid consumption targets are fully utilized or not.

Communication on Cost: CloudFence Schedule and share cost saving insights with team members to drive action and accountability

Spend As Projected: CloudFence will share a clear view of projected spending patterns for adjustable multiple time intervals

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