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What is Clean Claims?

Clean Claims is a cutting-edge software platform designed for field documentation and remote monitoring, with the goal of streamlining restoration workflows while ensuring complete accuracy in job records. By reducing the risk of human error, the software aids businesses in saving both time and money. Featuring remote sensors that provide continuous real-time data, it eliminates the need for on-site inspections to check temperature and humidity levels. The software's process enforcement capabilities guide technicians through a systematic documentation procedure, making sure that tasks are performed in the proper order and compliance standards are upheld. With a centralized approach to managing field services, monitoring the advancement of different projects and their stages becomes a simple task. Insurance adjusters often depend on Clean Claims to expedite the claims approval process. Moreover, the user-friendly interface enables technicians to learn the software in less than a week, drastically reducing training times. Each action taken on a job is recorded with a timestamp and associated with a specific user, which enhances accountability across the organization. Additionally, comprehensive documentation offers immediate proof that can speed up payment processing, improving financial workflows for businesses. This integration of advanced technology into restoration practices not only boosts efficiency but also builds trust among all involved parties. As a result, stakeholders can feel confident in the accuracy and reliability of the information presented.

What is AWS IoT Analytics?

The information produced by IoT devices is largely unstructured, which poses significant difficulties for conventional analytics and business intelligence systems that are designed primarily for structured data. These devices collect data from various noisy environments, such as temperature fluctuations, motion detection, and sound levels, resulting in common problems like data gaps, message corruption, and unreliable readings that require extensive cleaning prior to any substantial analysis. Moreover, the value of IoT data often hinges on its integration with external data sources from third parties. For example, irrigation systems in vineyards can improve moisture sensor readings through the inclusion of rainfall data, allowing farmers to refine their water use and boost crop productivity effectively. To facilitate the analysis of data generated by IoT devices, AWS IoT Analytics simplifies each intricate step in the process. This fully managed service operates on a pay-as-you-go basis, allowing it to effortlessly scale to accommodate varying requirements while also streamlining the overall data analysis procedure. By utilizing such automated solutions, companies can more effectively extract critical insights from their IoT data, ultimately leading to better decision-making and improved operational efficiency. In this way, organizations can harness the potential of their IoT investments to drive innovation and growth.

Media

Media

Integrations Supported

AWS App Mesh
AWS IAM Identity Center
Inspection Manager
Oracle Database@AWS
The Edge
magicplan

Integrations Supported

AWS App Mesh
AWS IAM Identity Center
Inspection Manager
Oracle Database@AWS
The Edge
magicplan

API Availability

Has API

API Availability

Has API

Pricing Information

$0.80 per month
Free Trial Offered?
Free Version

Pricing Information

$3.43 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Clean Claims

Company Location

United States

Company Website

www.cleanclaims.com

Company Facts

Organization Name

Amazon Web Services

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/iot-analytics/

Categories and Features

Restoration Management

Bid Management
CRM
Document Management
Fire Restoration
Job Tracking
Mold Remediation
Project Management
Scheduling
Task Management
Water Restoration

Categories and Features

Asset Tracking

Activity Tracking
Audit Trails
Barcoding / RFID
Checkout / Check-In
Depreciation Tracking
Disposal Tracking
Inventory Management
Location Tracking
QR Codes
Reservations
Service History

EAM

CMMS
Energy Management
Equipment Management
Facility Management
IT Asset Management
Inventory Management
Maintenance Management
Parts Management
Preventive Maintenance Scheduling
Software License Management
Warranty Management
Work Order Management

Equipment Maintenance

Customer Database
Dispatch Management
Equipment Tracking
Inventory Control
Job Management
Maintenance Scheduling
Warranty Tracking
Work Order Management

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

IT Asset Management

Asset Tracking
Audit Management
Compliance Management
Configuration Management
Contract/License Management
Cost Tracking
Depreciation Management
IT Service Management
Inventory Management
Maintenance Management
Procurement Management
Requisition Management
Supplier Management

Maintenance Management

Asset Tracking
Billing & Invoicing
Calibration Management
Dispatch Management
Inventory Control
Inventory Management
Key & Lock Management
Mobile Access
Planning Calendar
Predictive Maintenance
Preventive Maintenance
Purchasing
Scheduling
Service History Tracking
Technician Management
Work Order Management

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

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