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What is MotionBoard?

Devices such as sensors and wearables, along with platforms like CRM and relational databases, provide a multitude of data storage solutions. As your organization collects and retains information from a growing variety of sources and locations, fully leveraging this data demands a unified business intelligence solution that integrates all components into a single platform. You need a system that allows for rapid analysis and visualization of your data, making it possible to reach well-informed decisions within seconds. Transitioning from fragmented data storage to a more integrated approach with MotionBoard Business Intelligence empowers your team to achieve efficiency and insight for superior decision-making. By implementing such a robust tool, your organization can refine its data-driven methodologies and dramatically improve overall performance outcomes. Ultimately, this shift not only streamlines operations but also fosters a culture of proactive insight generation.

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

Apache Cassandra
Box
Chatwork
Dropbox
Google Analytics
Google Cloud BigQuery
Google Drive
Google Sheets
Microsoft Excel
MySQL
Oracle Database
Salesforce
Slack

Integrations Supported

AWS App Mesh
AWS IAM Identity Center
Oracle Database@AWS

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$3.43 per month

Supported Platforms

SaaS
Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard 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

WingArc Australia

Company Location

Australia

Company Website

wingarc.com.au/solutions/business-intelligence/

Company Facts

Organization Name

Amazon Web Services

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/iot-analytics/

Categories and Features

Business Intelligence

Ad Hoc Reports
Budgeting & Forecasting
Dashboard
Data Analysis
Profitability Analysis
Strategic Planning
Visual Analytics

IoT Analytics

Not specified

Categories and Features

Asset Tracking

Not specified

EAM

Not specified

Equipment Maintenance

Not specified

IoT Analytics

Not specified

IT Asset Management

Not specified

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