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What is HPE Consumption Analytics?

The HPE Consumption Analytics Portal functions as the analytical and metering component of HPE GreenLake, a flexible and cost-effective IT solution offered by HPE Pointnext Services, which merges the advantages of public cloud services with the security of an on-premises data center. This platform delivers comprehensive insights into your consumption habits and financial outlays via interactive dashboards along with a user-friendly drag-and-drop reporting system. By utilizing customizable budgeting options and a suggestion engine tailored to usage data for consumption-focused services, you can proficiently manage your IT costs. Furthermore, the portal's predictive capabilities help you anticipate demand, preventing potential shortages that could disrupt operations, thereby allowing for strategic capacity planning. Embedded within HPE GreenLake, the HPE Consumption Analytics Portal promotes transparency, enabling a clearer understanding of how your usage and commitments influence monthly expenses. Ultimately, this tool empowers you to make informed decisions regarding capacity planning, ensuring that your workloads operate at peak performance while adapting to changing needs. In doing so, it not only simplifies financial oversight but also enhances operational efficiency.

What is Azure Costs?

Reducing cloud costs in IT requires a strategic approach that focuses on smart investments in resources that elevate overall value rather than just cutting expenses. To kick off this process, assess your Azure spending by identifying wasteful costs and underutilized resources, which could lead to a reduction of your monthly Azure bill by up to 25% without compromising service quality and availability. It’s essential to ensure your cloud services are organized and meet current regulatory and auditing standards. Employ trend analysis, resource tagging, and detailed breakdowns of expenses to refine your spending further. Take charge of your financial management with comprehensive reporting options that cater to operations, finance, and management teams. Utilize customizable dashboards, email notifications, and alerts for insights into cost drivers and unexpected expenses to keep your organization updated. This methodical strategy not only optimizes expenditure but also equips your organization with the knowledge needed to make savvy financial choices in the cloud environment, ultimately fostering a more efficient and responsive IT infrastructure.

Media

Media

Integrations Supported

Microsoft Azure
Acronis Cyber Protect Cloud
ArcServe Live Migration
Comarch Business Intelligence
CyberSWIFT LAMS
CyberSWIFT PPMS
Cylera Platform
Google Cloud Security Command Center
IBM Apptio
OpenText Content Management (Extended ECM)
Parallels Desktop for Mac
Peromnes
Remark Office OMR
SAP Data Services
SAS Analytics for IoT
Striim
TCS HOBS
viisights

Integrations Supported

Microsoft Azure
Azure Information Protection

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$29 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Hewlett Packard Enterprise

Date Founded

2010

Company Location

United States

Company Website

www.hpe.com/us/en/services/cloud-cost-management.html

Company Facts

Organization Name

app.limit

Date Founded

2014

Company Location

Germany

Company Website

azure-costs.com

Categories and Features

Cloud Cost Management

Not specified

Cloud Management

Cost Management
Performance Analytics
Supply Monitoring

Categories and Features

Cloud Cost Management

Not specified

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
Supply Monitoring

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