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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The data generated by IoT devices is predominantly unstructured, posing challenges for analysis using conventional analytics and business intelligence tools that cater to structured data formats. This type of data is often derived from devices that capture inherently noisy processes like temperature, motion, or sound, leading to frequent occurrences of significant gaps, corrupted messages, and erroneous readings that necessitate cleansing prior to any analytical work. Moreover, the significance of IoT data frequently relies on supplementary inputs from third-party data sources. For instance, vineyard irrigation systems enhance moisture sensor readings with rainfall data, assisting farmers in making informed decisions on when to irrigate their crops, thereby optimizing water usage and boosting harvest yields. AWS IoT Analytics simplifies and automates the complex steps involved in analyzing data from IoT devices, making it easier for users to gain insights. This service is fully managed and operates on a pay-as-you-go model, ensuring automatic scaling to accommodate varying data volumes. Consequently, organizations can leverage AWS IoT Analytics to advance their operational efficiencies and make data-driven decisions with greater ease.

Description

In an interconnected process industry where historical data is scarce, the unpredictability of failures is a constant challenge. Our comprehensive monitoring solution identifies quality concerns, equipment malfunctions, deviations in operational modes, and irregular process behaviors. Rather than sifting through countless false alarms, we streamline this to deliver a maximum of five meaningful alerts daily. This allows for advance notifications of potential failures, ranging from a week to just 24 hours before they occur, eliminating unexpected disruptions during off-hours. Emphasizing proactive and planned maintenance not only enhances operational efficiency but also reduces costs. The unique demands of industrial assets necessitate an innovative approach; we seamlessly integrate your team's expertise with advanced machine learning technologies to create a tailored predictive monitoring system. With your existing sensors and data, implementation is swift; it only takes two weeks for a process engineer to outline the plant's structure and behavior, after which the software will be fully operational, paving the way for improved reliability and performance. This rapid deployment ensures that your operations will benefit quickly from enhanced monitoring capabilities.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh Yes 
AWS IAM Identity Center Yes 
Oracle Database@AWS Yes 
PI Vision No 
dataPARC Historian No 

Integrations

AWS App Mesh No 
AWS IAM Identity Center No 
Oracle Database@AWS No 
PI Vision Yes 
dataPARC Historian Yes 

Pricing Details

$3.43 per month
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) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Amazon Web Services

Founded

2006

Country

United States

Website

aws.amazon.com/iot-analytics/

Vendor Details

Company Name

PreCognize

Country

United States

Website

www.precog.co

Product Features

Asset Tracking

Activity Tracking No 
Audit Trails No 
Barcoding / RFID No 
Checkout / Check-In No 
Depreciation Tracking No 
Disposal Tracking No 
Inventory Management No 
Location Tracking No 
QR Codes No 
Reservations No 
Service History No 

EAM

CMMS No 
Energy Management No 
Equipment Management No 
Facility Management No 
IT Asset Management No 
Inventory Management No 
Maintenance Management No 
Parts Management No 
Preventive Maintenance Scheduling No 
Software License Management No 
Warranty Management No 
Work Order Management No 

Equipment Maintenance

Customer Database No 
Dispatch Management No 
Equipment Tracking No 
Inventory Control No 
Job Management No 
Maintenance Scheduling No 
Warranty Tracking No 
Work Order Management No 

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

IT Asset Management

Asset Tracking No 
Audit Management No 
Compliance Management No 
Configuration Management No 
Contract/License Management No 
Cost Tracking No 
Depreciation Management No 
IT Service Management No 
Inventory Management No 
Maintenance Management No 
Procurement Management No 
Requisition Management No 
Supplier Management No 

Maintenance Management

Asset Tracking No 
Billing & Invoicing No 
Calibration Management No 
Dispatch Management No 
Inventory Control No 
Inventory Management No 
Key & Lock Management No 
Mobile Access No 
Planning Calendar No 
Predictive Maintenance No 
Preventive Maintenance No 
Purchasing No 
Scheduling No 
Service History Tracking No 
Technician Management No 
Work Order Management No 

Preventive Maintenance

Condition Monitoring No 
Inspection Management No 
Maintenance Scheduling No 
Mobile Access No 
Predictive Maintenance No 
Purchasing No 
Reminders No 
To-Do List No 
Vendor Management No 
Work Order Management No 

Product Features

Maintenance Management

Asset Tracking No 
Billing & Invoicing No 
Calibration Management No 
Dispatch Management No 
Inventory Control No 
Inventory Management No 
Key & Lock Management No 
Mobile Access No 
Planning Calendar No 
Predictive Maintenance No 
Preventive Maintenance No 
Purchasing No 
Scheduling No 
Service History Tracking No 
Technician Management Yes 
Work Order Management No 

Preventive Maintenance

Condition Monitoring No 
Inspection Management No 
Maintenance Scheduling No 
Mobile Access No 
Predictive Maintenance No 
Purchasing No 
Reminders No 
To-Do List No 
Vendor Management No 
Work Order Management No 

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