Dexcent IDS

We are Industrial DataOps Practitioners!

Operational Digital Readiness

Operational Risk Assessment

Industry 5.0 Assessments

Industry 5.0 represents a new phase in industrial development – one placing emphasis on the integration of human intelligence and skills with the advanced technologies developed as part of Industry 4.0. Industry 5.0 recognizes the value of front-line workers in identifying asset performance issues and the benefit of collaboratively developing data driven, innovative solutions.

People Readiness Assessment

By conducting a thorough people readiness assessment within operational risk assessment, organizations can better understand their workforce's preparedness for change. This understanding allows the organization to address challenges effectively, improve communication, engagement, and alignment leading to smoother transitions and successful implementation of operational changes.

Operational Change Management Readiness Assessment

Implementing effective operational change management practices is crucial for organizations seeking to navigate digital transformations successfully. It enables the organization to proactively address challenges, engage employees, minimize disruptions, and build the necessary capabilities to adapt and thrive in ever-evolving business environments.

Process Alignment Assessment

Aligning processes ensures that the organization's workflows are optimized for the technological changes and innovations realized with digital transformation. It results in improved efficiency, adaptability, customer satisfaction, data utilization, risk management, and resource utilization — all critical factors in achieving successful digital readiness, transformation amd asset managemnt.

Key Performance Indicator(KPI) Alignment

Effective KPI alignment is essential to realize the benefits of digital transformation. It provides a roadmap for success, enables organizations to measure progress accurately, facilitates informed decision-making, and ensures that digital initiatives are closely aligned with business strategies.

Network and OT Infrastructure Cyber Posture Determination

Infrastructure Assessment

Conducting an infrastructure assessment as part of Operational Digital Readiness delivers several benefits to ensure an organization's foundational technology and systems align with its digital transformation targets. Addressing infrastructure-related challenges and leveraging its strengths helps create the robust technological backbone needed to support and enable digital initiatives. This leads to increased efficiency, agility, security, and cost-effectiveness across the organization.

Cyber Security Assessment

iAMP’s Cyber Security Maturity/Posture assessments and planning activities help our clients better understand real potential cyber threat impacts to their specific environment and enable them to plan for remediation and implementing operational resiliency (detect, protect, response) capabilities custom build to safeguard environment against cyber-attacks.

 Asset Data

Source Data Assessment

Source data validation plays a crucial role in operational digital readiness assessments by ensuring the accuracy, reliability, and integrity of the asset and applicable business data. Source data validation enables organizations to make well-informed decisions and effectively navigate the complexities of digital transformation.

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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
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