Spot Cost Intelligence Description

Spot’s Cost Intelligence is a comprehensive solution for managing cloud expenses, aimed at enhancing visibility, optimizing financial performance, and facilitating effective FinOps in diverse cloud settings. It gathers and organizes cost and usage information from AWS, Azure, and Google Cloud into tailored dashboards and engaging visual representations, which help users grasp resource utilization, detect irregularities, and make informed decisions based on data. The system employs established best practices with checks and notifications to point out inefficiencies or unnecessary expenditures, allowing for prompt corrective actions. Additionally, it features workflow automation capabilities, enabling users to establish triggers, produce customized reports, and notify teams when specific cost or usage limits are exceeded. This functionality also includes the ability to convert raw cost and inventory data into significant business metrics, such as the cost of computing per customer or storage costs per product. Furthermore, by integrating Cost Intelligence with Spot’s Billing Engine, Eco, and Ocean modules, users can effectively implement FinOps strategies, foster collaboration among stakeholders, and achieve greater financial alignment across their cloud operations. This holistic approach ensures that organizations can maintain control over their cloud expenditures while driving efficiency and accountability.

Integrations

API:
Yes, Spot Cost Intelligence has an API

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Company Details

Company:
Spot
Headquarters:
United States
Website:
spot.io/product/cost-intelligence/

Media

Spot Cost Intelligence Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Training Videos
Customer Support
Online Support

Spot Cost Intelligence Features and Options

Cloud Cost Management Software

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

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