Dexcent IDS

We are Industrial DataOps Practitioners!
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Matrikon® Announces Partnership with Dexcent IDS to Enhance Data Interoperability for Industrial IoT

Edmonton, AB, May 1, 2023 – Matrikon®, a leading vendor-neutral supplier of OPC UA and OPC-based data interoperability products for control automation, has announced a new partnership with Dexcent IDS, a software solutions provider for industrial data systems.

The partnership between Matrikon and Dexcent IDS will focus on enhancing data interoperability for the Industrial Internet of Things (IIoT) and Industrie4.0 (I4.0) era. With this partnership, Matrikon will bring its reliable, scalable, and innovative data connectivity and interoperability products to Dexcent IDS's industrial data systems, empowering end-users with the key data tools needed to facilitate enterprise- wide data sharing.

“Matrikon is excited to partner with Dexcent IDS to enhance data interoperability in the IIoT and I4.0 era,” said Heather Ferguson, Global Sales Manager of Matrikon. “Our mission is to empower vendor and end-user customers with reliable and innovative data connectivity and interoperability products, and this partnership will help us achieve that goal by reaching a wider audience and expanding our capabilities in the industrial data systems market.”

Dexcent IDS provides software solutions that enable companies to collect, manage, and analyze data from various industrial sources in real time. With Matrikon’s superior OPC UA development toolkit, Dexcent IDS can further enhance its industrial data systems, providing its customers with a more comprehensive and integrated solution for their data management needs.

“We are thrilled to partner with Matrikon, a leader in the OPC UA and OPC-based data interoperability space,” said Andrew Capper, VP of Dexcent IDS. “This partnership will allow us to expand our capabilities and provide our customers with even more robust and reliable solutions for their industrial data management needs.”

Matrikon and Dexcent IDS will work closely together to integrate Matrikon’s data interoperability products into Dexcent IDS’s industrial data systems. The partnership is expected to provide customers with more comprehensive and integrated solutions for their data management needs, empowering them to best compete in the IIoT and I4.0 era.

For more information about Matrikon and Dexcent IDS, please visit their respective websites at www.matrikon.com and www.dexcentids.com.

About Matrikon®:
Matrikon is a vendor-neutral supplier of OPC UA and OPC-based data interoperability products for control automation. The Matrikon brand promise is to empower vendor and end-user customers with reliable, scalable, and innovative data connectivity and interoperability products, training, and support to best compete in the Industrial Internet of Things (IIoT) and Industrie4.0 (I4.0) era. Matrikon actively participates in standards organizations and builds close relationships with its customers and partners globally to help them best address their business and technical challenges in an ever more complex, competitive, and connected world.

www.matrikon.com

About Dexcent IDS:
Dexcent IDS is a software solutions provider for industrial data systems. Dexcent IDS enables companies to collect, manage, and analyze data from various industrial sources in real time, providing their customers with comprehensive and integrated solutions for their industrial data management needs.
www.dexcentids.com

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Table of Content

1. Purpose
1.1. Purpose and Goals
1.2. Why The Industrial DataOps Process Is Needed?
1.3. Industrial DataOps Practitioner Engagement
1.3.1. Oversee An Existing Industrial DataOps Program
1.3.2. High Data Secrecy Organizations
1.3.3. Full Engagement
1.4. Principles
1.4.1. Know Your Data
1.4.2. Curate Your Data
1.4.3. Unify Your Data
1.4.4. Analyze Your Data
1.4.5. Hardware, Software, and People Working Together
1.5. Lifecycle
2. Intention
2.1. Scope
2.2. Assumptions
3. Terminology & References
3.1. Definitions
3.2. Acronyms and Abbreviations
3.3. Industry References, Standards, Regulations and Guidelines
3.4. Site Related References, Standards, Regulations and Guidelines
4. Expectations and Responsibilities
4.1. Roles
4.2. Role Job Description
4.3. Role Assignment
5. Opportunity Identification
5.1. Need Initiated
5.2. Improvement Initiated
6.Discovery
7. Baselining
7.1. Data Rationalization
7.2. Data Justification
7.3. Data Impact
7.4. Data Flow
7.4.1. Data Producer
7.4.2. Data Path
7.4.3. Data Consumer
7.5. Data Good State
7.5.1. Failure Conditions
7.5.2. Warning Conditions
7.5.3. Abnormal Conditions
7.6. Data Processing Team
8. Target Confidence Factors
9. Critical Success Factors
10. Risk Analysis / Mitigation Plan
10.1. Risk Analysis
10.2. Mitigation Plan
11. Technology Selection
11.1. Hardware
11.2. Software
11.3. People
12. Project Execution
12.1. Project Synergy
12.2. Project Synergy
12.3. Resource Acquisition
12.4. Scheduling
12.5. Implementation
12.6. Training
12.7. Maintenance
12.8. Contingency
13. Evaluation Vs Baseline
14. Calibration & Sustainment
14.1. Training
14.2. Maintenance
14.3. Obsolescence
15. Continuous Improvement Process
15.1. Continuous Process Documentation
15.2. Audit
16. Management Of Change (MOC)
16.1. Applicability
16.2. Methodology