Dexcent IDS

We are Industrial DataOps Practitioners!

Are you having prolonged downtime due to data issues? Or maybe you are trying to use AI/ML but it isn't working? Are you unable to leverage your data to improve performance? Are you concerned about the security of your data? Do you have concerns about how reliable your data is? The Industrial DataOps Practitioners at Dexcent IDS can help! Contact Us and see how we can help you untap your data's full potential!

Industrial DataOps

DataOps is a continuous improvement, collaborative data management practice focused on improving the communication, integration and automation of data flows between data producers, data managers and data consumers across the organization.
By breaking down silos between each stage of the data flow, the data becomes more understood, reliable and it full potential can be unlocked.
The DataOps methodology unites hardware, software and people to form a complete understanding of the data and its end-to-end data flow thought the system, providing best opportunity to make the data work for you.



Dexcent IDS Specialists

At Dexcent IDS, we are excited to introduce a division solely dedicated to serving Industrial DataOps Practitioners. Dexcent IDS understands the challenges clients face in managing data operations while ensuring security and compliance. Dexcent IDS is committed to providing the necessary expertise and cutting-edge solutions to optimize client’s Industrial DataOps workflows, enabling them to achieve maximum value from their stranded assets.

Implementing the Industrial DataOps Process can yield a number of different benefits. At the core, the process is about understanding your data which leads to more reliable data (and thus less downtime), more secure data, and more opportunity to utilize the data to its fullest potential. The Dexcent IDS DataOps specialist are knowledgeable in the field of data management and have a deep understanding of the Industrial DataOps Process. Together, we can make your data work for you, instead of the other way around.

Want to see how you can get started with your Industrial DataOps Transformation?

The Data Management Experts at Dexcent IDS Can Help You:

Unlock Value

We are technology agnostic and have the skills and experience to identify what is required to unlock the value from your stranded assets (individuals, teams, knowledge, and datasets) and help develop a plan with you to extract and sustain it.

Excellence in Execution

We help plan and execute technology projects from assessments and roadmaps, assisting with technology recommendations, assisting with defining and implementing best practices governance, project management, analytics and reporting, though value sustainment support and continuous improvement.

The Data Management Experts at Dexcent IDS Offer the Following Services:

The Plan: Dexcent IDS' Industrial DataOps Philosophy Document

The Industrial DataOps Process is a continious improvement processs which repeatedly applies the Industrial DataOps Methodology Cycle to move the system to a more mature Industrial DataOps Maturity Level and collect the associated benefits as a result. Each Industrial DataOps Methodology Cycle can be applied as its own initiative or piggy-back on the changes being made due to some other system initiative.

As with most processes, the Industrial DataOps Process starts out with a plan, such as the Dexcent IDS Industrial DataOps Philosophy Document. This document serves two purposes:

  1. The general document provides the common philosophy to applying the Industrial DataOps Process. This includes a comprehensive set of steps applicable to most, if not all, applications of the Industrial DataOps Methodology Cycle. The document addresses steps before any changes are made, steps during the changes implementation, and steps after the changes have been implemented. 
  2. The general document also serves as a template document for the client to use as a source of information or information references, related to each Industrial DataOps Methodology Cycle. This document becomes the single source of truth from which all information, regarding any data point and its flow, can be determined. As the client goes though the Industrial DataOps Process, this document will be update with client specific information regarding the speciifc Industrial DataOps Methodology cycle.

Contact Dexcent IDS about Data Operations

We can help you with all things data operations, from creating and managing data to optimizing your data processes and governance. Contact us today to discuss how we can help you.

Want to make sure we know what we are talking about?

Like what you see? Sign Up and Dexcent IDS will send you a copy of the complete Industrial DataOps Philosophy Document.

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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