Dexcent IDS

We are Industrial DataOps Practitioners!

Oil & Gas Industry

Challenges that Industrial DataOps services solve in the Oil and Gas industry as the industry continues to move toward net zero. In the current global climate, it is becoming increasingly important for businesses in the Oil and Gas industry to operate more sustainably and efficiently. That's where our Industrial DataOps services come in - we can help you collect and use data in a way that will enable you to reduce costs, increase efficiency, and operate more sustainably. Let's explore the challenges that Industrial DataOps services can solve for your business in the Oil and Gas industry.

Reducing Costs

Optimizing Production

Improving Asset Management

Increasing Collaboration and Communication

Implementing Sustainable Practices

Our Industrial DataOps services can help businesses in the Oil and Gas industry operate more sustainably and efficiently. We can help you reduce costs, improve asset management, optimize production, implement sustainable practices, and increase collaboration and communication. Contact us today to learn more about how our Industrial DataOps services can help your business as the industry moves toward net zero.

Mining Industry

In the mining industry, data is generated at an unprecedented rate. This data holds the key to unlocking operational efficiencies, reducing costs, and improving safety. However, the challenge lies in managing, analyzing, and making sense of this data in real-time.

That's where Dexcent IDS comes in. Our Industrial DataOps consulting services are specifically designed to help mining companies manage their data effectively, so they can make better, data-driven decisions. By leveraging the latest technologies and methodologies, we can help you unlock the true potential of your data and drive your business forward.

Our team of experts has extensive experience working with mining companies to streamline their data management processes, improve data quality, and ensure that data is accessible to the right people at the right time. We can help you identify data silos, integrate disparate data sources, and implement real-time analytics solutions to extract actionable insights from your data.

In addition, our Industrial DataOps consulting services can help you improve your asset management processes, optimize your maintenance schedules, and reduce downtime. By leveraging predictive analytics and machine learning, we can help you identify potential issues before they occur, and take proactive measures to prevent them from happening.

At Dexcent IDS, we understand the unique challenges faced by the mining industry, and we have the expertise and experience needed to help you overcome them. Whether you're looking to optimize your operations, improve safety, or reduce costs, our Industrial DataOps consulting services can help you achieve your goals.

Energy Industry

As the world moves towards sustainable energy solutions, the energy sector is at the forefront of the digital transformation journey towards net zero. To achieve this, it's crucial to leverage the power of data, and that's where Industrial DataOps comes in.

Industrial DataOps is a data management methodology that combines people, processes, and technology to unlock the potential of data. With Industrial DataOps consulting services, energy companies can create a digital infrastructure that maximizes data efficiency, optimizes operations, and ensures a smooth transition towards a sustainable future.

At Dexcent IDS, our team of experts provides tailor-made solutions to help energy companies leverage the power of data to achieve their net zero targets. With our Industrial DataOps consulting services, we help energy companies:

Improve Data Quality

Data quality is essential to making informed decisions. Our consultants can help you assess, manage, and improve data quality, ensuring that you have accurate data to base your decisions on.

Enhance Data Integration

With disparate data sources, it's essential to ensure that your data is integrated and standardized to provide a clear and comprehensive view of your operations. Our consultants can help you create a data integration strategy that aligns with your business goals and maximizes efficiency.

Streamline Data Processes

Manual data processes can be time-consuming and error-prone. Our consultants can help you streamline data processes through automation, ensuring that data flows seamlessly across your organization.

Achieve Real-Time Insights

With real-time insights, you can identify issues before they become problems, and make informed decisions that positively impact your operations. Our consultants can help you leverage data analytics and visualization tools to achieve real-time insights.

By leveraging Industrial DataOps consulting services, energy companies can unlock the potential of their data, optimize their operations, and create a sustainable future. At Dexcent IDS, we have a proven track record of helping our clients achieve their digital transformation goals. Contact us today to learn more about how we can help your energy company leverage the power of data.

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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