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Epicor Connected Process ControlEpicor Connected Process Control (CPC) is a flexible no-code/low-code MES and manufacturing operations platform that helps manufacturers standardize production and assembly processes, improve quality, and increase visibility across the shop floor. Using digital work instructions with multimedia content, manufacturers can guide operators through critical tasks, enforce process control, and improve consistency across products, workstations, and production lines. CPC connects equipment and devices to collect production and quality data in real time, helping manufacturers identify issues faster, reduce waste, and support continuous improvement. CPC provides product traceability with a complete historical record of each product's build and inspection history. Manufacturers use CPC to support assembly verification, error proofing, quality inspections, operator guidance, and other connected manufacturing initiatives. For manufacturers with complex product variations, CPC can dynamically present the correct work instructions based on the product or configuration being built, helping ensure products are assembled accurately and consistently. Available on-premises or in the cloud, CPC scales from a single work cell to enterprise-wide deployments.
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DataBuckBig Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Shoplogix Smart Factory PlatformFor over two decades, Shoplogix has helped leading manufacturers worldwide unlock hidden production potential by transforming real-time machine and performance data into actionable insights. The platform automatically captures signals like downtime, scrap, and throughput, delivering visual dashboards that enable teams to identify bottlenecks, reduce losses, and improve continuously—both during shifts and in post-shift analysis. With OneSignal connectivity, Shoplogix integrates with any machine brand or type to deliver real-time, granular insights on slow-running, starved, or idle machines. Its intuitive visual management system allows operators and managers alike to quickly detect and act on issues. Integrated analytics provide powerful, slice-and-dice capabilities similar to leading BI tools, without leaving the platform. Designed for agility, Shoplogix supports scaling from a single line to multi-plant operations across geographies. Continuous improvement tools like Action Plans and Digital Andon alerts keep teams engaged, aligned, and empowered to act—making Shoplogix a powerful ally in the pursuit of operational excellence.
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HiveMQThe HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights: 1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems. 2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure. 3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems. 4. UNS & IT/OT convergence Enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability. 5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most. 6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own 7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour 8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades
Description
Implement sensors tailored for IoT applications and enhance the data collected by integrating it with environmental and control system information. This integration should occur in real-time with enterprise data, facilitating the deployment of predictive algorithms to uncover fresh insights and leverage your data for impactful purposes. Utilize advanced analytics to foresee maintenance issues, gain insights into asset usage, minimize defects, and fine-tune processes. Capitalize on the capabilities of connected devices to provide remote monitoring and diagnostic solutions. Furthermore, use IoT analytics to anticipate safety risks and ensure compliance with regulations, thereby decreasing workplace accidents. Lumada Data Integration allows for the swift creation and expansion of data pipelines, merging information from various sources, including data lakes, warehouses, and devices, while effectively managing data flows across diverse environments. By fostering ecosystems with clients and business associates in multiple sectors, we can hasten digital transformation, ultimately generating new value for society in the process. This collaborative approach not only enhances innovation but also leads to sustainable growth in an increasingly interconnected world.
Description
Tarsal's capability for infinite scalability ensures that as your organization expands, it seamlessly adapts to your needs. With Tarsal, you can effortlessly change the destination of your data; what serves as SIEM data today can transform into data lake information tomorrow, all accomplished with a single click. You can maintain your SIEM while gradually shifting analytics to a data lake without the need for any extensive overhaul. Some analytics may not be compatible with your current SIEM, but Tarsal empowers you to have data ready for queries in a data lake environment. Since your SIEM represents a significant portion of your expenses, utilizing Tarsal to transfer some of that data to your data lake can be a cost-effective strategy. Tarsal stands out as the first highly scalable ETL data pipeline specifically designed for security teams, allowing you to easily exfiltrate vast amounts of data in just a few clicks. With its instant normalization feature, Tarsal enables you to route data efficiently to any destination of your choice, making data management simpler and more effective than ever. This flexibility allows organizations to maximize their resources while enhancing their data handling capabilities.
API Access
Has API
No
API Access
Has API
No
Integrations
1Password
No
AWS CloudTrail
No
Amazon S3
No
Auth0
No
Box
No
Cato SASE
No
Cisco Duo
No
Coda
No
Elastic Cloud
No
Facebook
No
Integrations
1Password
Yes
AWS CloudTrail
Yes
Amazon S3
Yes
Auth0
Yes
Box
Yes
Cato SASE
Yes
Cisco Duo
Yes
Coda
Yes
Elastic Cloud
Yes
Facebook
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
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
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Hitachi
Country
Japan
Website
www.hitachi.com/products/it/lumada/global/en/about/index.html
Vendor Details
Company Name
Tarsal
Country
United States
Website
tarsal.co
Product Features
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
Field Service Management
Billing & Invoicing
No
Contact Database
No
Contract Management
No
Customer Database
No
Dispatch Management
No
Electronic Signature
No
Inventory Management
No
Mobile Access
No
Payment Collection in the Field
No
Quotes / Estimates
No
Routing
No
Scheduling
No
Service History Tracking
No
Time Clock
No
Work Order Management
No
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
Integration
Dashboard
No
ETL - Extract / Transform / Load
No
Metadata Management
No
Multiple Data Sources
No
Web Services
No
IoT
Application Development
No
Big Data Analytics
Yes
Configuration Management
No
Connectivity Management
No
Data Collection
Yes
Data Management
Yes
Device Management
Yes
Performance Management
Yes
Prototyping
No
Visualization
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
Manufacturing Intelligence
Aggregation
No
Analysis
No
Contextualization
No
KPIs
No
Propagation
No
Visualization
No
Tradesman Job Management
Contract Management
No
Customer Database
No
Dispatch Management
No
For Builders
No
For Electricians
No
For Field Service Businesses
No
For HVAC
No
For Plumbers
No
For Roofers
No
Invoicing
No
Job Tracking
No
Payments
No
Quoting
No
Reporting
No
Scheduling
No
Time Tracking
No
Product Features
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
No
Data Discovery
No
Data Loss Prevention
No
Data Masking
No
Data-Centric Security
No
Database Security
No
Encryption
No
Identity / Access Management
No
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
No
Secure Data Transport
No
Sensitive Data Compliance
No
