Dexcent IDS

We are Industrial DataOps Practitioners!
3aV77UGRjo7uB7Sa3maYaE4j6VEsYTVqGdZnQmk0uzqFA6wt2YBVpr3zc4vedS4s.png
Contact Us

Contact Dexcent IDS

Welcome to Dexcent IDS, where we help companies unlock the potential of their industrial data through innovative Industrial DataOps solutions. We believe that collaboration is key to success, and we are committed to working closely with our clients to understand their unique needs and challenges.

Whether you are looking to implement an Industrial DataOps strategy, optimize your industrial assets, or overcome data bottlenecks, our team of experts is here to help. We offer a range of services, including consulting, training, and implementation, to ensure that you have the tools and knowledge you need to succeed.

We would love to hear from you! If you have any questions about our services or would like to discuss a potential project, please don't hesitate to contact us. Our team is always available to answer your questions and provide guidance on how we can help you achieve your goals. You can reach us by phone or email, or simply fill out the contact form on this page and one of our representatives will be in touch shortly. We look forward to hearing from you and working together to unlock the power of your industrial data!

contact us
Name
Name
First
Last

To empower organizations by harnessing the power of the IT/OT convergence and unlocking the potential of their 'stranded assets.'

Quick Links

Menu
Contact us
Scroll to Top

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