Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Regardless of whether your business operates from a single site or across multiple nations, Infor Expense Management stands out as the most adaptable and customizable travel and entertainment (T&E) expense management software available, designed for mobile functionality and social interaction. The suite includes four interconnected applications—expense reports, travel arrangements, payment requests, and timesheets—that can function independently or in various combinations to enhance the automation of expense-related processes, ensure adherence to policies, lower administrative expenses, and mitigate the potential for unintentional mistakes and deliberate fraud. By integrating Infor Expense Management with either your existing Infor systems or other enterprise resource planning (ERP) solutions, you can automate expense tracking, achieve improved efficiencies, and refine the oversight of your organization's T&E expenditures, ultimately leading to better financial governance. This comprehensive approach not only simplifies the expense management process but also fosters a more transparent environment for financial accountability within your organization.
API Access
Has API
No
API Access
Has API
No
Integrations
Infor IoT
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
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Infor
Founded
2002
Country
United States
Website
www.infor.com/products/data-lake
Vendor Details
Company Name
Infor
Founded
2002
Country
United States
Website
www.infor.com/products/expense-management
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
Product Features
Expense Report
Approval Process Control
No
Invoice Management
No
Multi-Currency
No
Receipt Management
No
Reimbursement Management
No
Spend Control
No
Time Tracking
No
Workflow Management
No