Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The HPE Consumption Analytics Portal serves as the metering and analytics feature within HPE GreenLake, an on-demand IT solution from HPE Pointnext Services that combines the flexibility and cost-effectiveness of public cloud services with the security of your own data center. This platform provides detailed insights into your usage patterns and expenses through engaging dashboards and an intuitive drag-and-drop reporting interface. You can effectively manage IT expenditures with adaptable budgeting options and a recommendation system that operates based on usage metrics for consumption-driven services. Additionally, by predicting demand, you can avert potential shortages that could lead to outages, empowering you with the ability to strategically plan your resource capacity. Integrated within HPE GreenLake, the HPE Consumption Analytics Portal enhances transparency, allowing for clearer understanding of how your usage and commitments impact your monthly expenses. Ultimately, this tool grants you greater control over decision-making concerning capacity planning to ensure optimal performance of your workloads.
Description
Addressing the challenges faced by modern enterprises and industries hinges on the effective utilization of big data. The capability to gather information from various sources within your organization—whether it originates from different applications, individuals, or IoT systems—presents enormous opportunities. Infor’s Data Lake tools offer schema-on-read intelligence coupled with a rapid and adaptable data consumption framework, facilitating innovative approaches to critical decision-making. By gaining streamlined access to your entire Infor ecosystem, you can initiate the process of capturing and leveraging big data to enhance your analytics and machine learning initiatives. Extremely scalable, the Infor Data Lake serves as a cohesive repository, allowing for the accumulation of all your organizational data. As you expand your insights and investments, you can incorporate additional content, leading to more informed decisions and enriched analytics capabilities while creating robust datasets to strengthen your machine learning operations. This comprehensive approach not only optimizes data management but also empowers organizations to stay ahead in a rapidly evolving landscape.
API Access
Has API
No
API Access
Has API
No
Integrations
Acronis Cyber Protect Cloud
Yes
ABB Electronic Work Instructions
Yes
ALIP
Yes
CTERA
Yes
Comarch Wealth Management
Yes
Commvault Cloud
Yes
CyberSWIFT PPMS
Yes
Deloitte Vaccine Management System
Yes
Hyper Historian
Yes
Morpheus
Yes
Integrations
Acronis Cyber Protect Cloud
No
ABB Electronic Work Instructions
No
ALIP
No
CTERA
No
Comarch Wealth Management
No
Commvault Cloud
No
CyberSWIFT PPMS
No
Deloitte Vaccine Management System
No
Hyper Historian
No
Morpheus
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Hewlett Packard Enterprise
Founded
2010
Country
United States
Website
www.hpe.com/us/en/services/cloud-cost-management.html
Vendor Details
Company Name
Infor
Founded
2002
Country
United States
Website
www.infor.com/products/data-lake
Product Features
Cloud Cost Management
Cost Reduction Optimization
No
Dashboard
No
Data Import/Export
No
Data Storage
No
Data Visualization
No
Resource Usage Reporting
No
Roles / Permissions
No
Spend and Cost Reporting
No
Cloud Management
Access Control
No
Billing & Provisioning
No
Capacity Analytics
No
Cost Management
Yes
Demand Monitoring
No
Multi-Cloud Management
No
Performance Analytics
Yes
SLA Management
No
Supply Monitoring
Yes
Workflow Approval
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No