1. Turn your Data into Knowledge
Modularize your data for repeatable
and accurate usage
Ad Ghauri

2. Current State Data Maturity
Data
Information
Knowledge
Inaccurate, redundant,
duplicated, unreliable, and
unknown data resides in ERP,
MRP, MES, MRO, CAD, DCS,
Simulation, Design & Engineering
systems throughout enterprises
Required information exists in
enterprises but is stored in
multiple systems not linked to
physical assets (Plants, Wells,
Platforms) with little context of
business and operating model?
Enterprise knowledge is not
modularized to enable reuse and
repurpose for new projects and
information in not accessible in
the form of knowledge for
operations, training, and projects.

3. Future State Data Maturity
Data
Information
Knowledge
Take your overwhelming unstructured
data from simulation, design, engineering,
operations and maintenance systems
Turn it into structured data while
removing redundancies and inefficiencies.
Filter your structured data to
purposeful information. Integrate
this data into your business
processes and assets by useful
classification so that it becomes
manageable and easily accessible.
Enable your employees, partners,
and extended supply chain to easily
access, re-use, share, and
collaborate accurate information in
business processes and applications
with certainty

4. Take your overwhelming unstructured data from simulation, design, engineering, operations and maintenance systems
Turn it into structured data while removing redundancies and inefficiencies.
Corporate data
capture and re-
alignment
• Data from multiple systems and sources is often difficult to manage and control . Overwhelming data exchange across internal and
external sources when captured and structured provides better control. Different disciplines value data differently and its value is
realized when used with confidence. Corporate decisions are made based on its authenticity and accuracy.
• Multiple versions of data lead to time consuming and bad decision making. Obsolete data is not useful and is sometimes dangerous.
• Embedded data in policy and procedural documentation needs to reflect plant as-builds. Otherwise regulatory, safety, environmental
and quality compliances across corporation may fail.
Engineering
data
structuring in
context of
plant
• Engineering data is created to meet business, operational, corporate or regulatory requirements. In turn driving one or more
conceptual designs. Conceptual designs are refined enabling corporate to solicit and select the most efficient EPC to build engineer,
procure, build and commission the plant. The engineering data is further created, updated and refined through FEED, EPC, and O&M
phases by multiple organizations. It has the longest life, as if structured efficiently can be re-used beyond EOL of the plant. The plant
design basis is continually updated to ensure that it reflects plant as-built. Structured data across multiple organizations ensures
reliable, latest, and accurate data is transmitted and exchanged up and down the operational/engineering supply chains.
• Budgeted Deliverables, 3D Model, Parsed MTO, and Quantity Estimate are tracked in plant context & its phases.
Procurement
data is driven
by construction
timelines and
project
controls
• Procurement data, onsite delivery and material management timelines are managed and aligned. Parsed MTO, ROS Dates,
Prioritization and Material Receipt and Release are tracked in plant context & aligned across phases. Documentation created and
managed for Bidders Lists, Purchase Order Pro-Forma, Contracts Pro-Forma and Transportation and Logistics. Documentation for
Engineering Specifications, Engineering Quantities, Bid evaluations, and Contract award. Documentation for shop/site Inspections,
Track Status, Expedite per ROS Dates. Documentation for Transport & Receive, Warehouse, Maintain, and Release to Construction.
• Construction & vendor lead times influenced by Engineering drive procurement process & data. It is crucial to order the correct
materials on-time. Orders placed with obsolete Engineering design impacts cost and schedule.
Construction
mirrors design
and is driven
by project
controls
• Construction data is created and updated mostly by field engineering. It is imperative to build as per design and update design as
constructed, as there are multiple organizations using the same data. Construction data is created and update for construction & site
layout plans, temporary facilities, structural concrete/steel, mechanical and electrical equipment, piping & instrumentation controls,
plant turnover, startup & commissioning, performance testing, and finally plant/data handover to owner/end-user.
• Appropriate project controls enable cost, work, plant, and schedule breakdown structures are integrated and streamlined across all
phases of Project Lifecycle and organizations involved. The data created and updated during this phase must be 100% aligned with
project cost, schedule, work, and asset breakdown structures.
Operations and
Maintenance
requires data
accuracy and
reliability
strategies
• Many plants are built based on design basis that overtime has many as-built changes to meet geographical, regulatory and supply
chain constraints. These as-builds should be kept up to date in corporate records to ensure complete alignment such that recall,
warranties, and reliability is managed holistically. Issues in design, form, fit and function of equipment should not only be dealt locally.
• Safety, environment and regulatory compliance is maintained across the corporation and extended enterprise. Levels of modeling are
progressively maturated from 2D Drawings and Sketches, 3D CAD Model with data attribute links, 4D Construction Simulation Model,
through 5D Cost Tracking Model. As higher levels of data maturity impacts O&M exponentially.
Did you know that even today inaccurate, redundant, duplicated, unreliable, and unknown data resides in ERP, MRP, MES, MRO, CAD, DCS,
Simulation, Design & Engineering systems throughout enterprises
Data to Information

5. Filter your structured data to purposeful information. Integrate this data into your business processes and assets by useful classification so
that it becomes manageable and easily accessible.
Corporate
information
accessible
across the
enterprise
• Data from multiple systems and sources is often difficult to manage and control . Overwhelming data exchange across internal and
external sources when captured and structured provides better control. Different disciplines value data differently and its value is
realized when used with confidence. Corporate decisions are made based on its authenticity and accuracy.
• Multiple versions of data lead to time consuming and bad decision making. Obsolete data is not useful and is sometimes dangerous.
• Embedded data in policy and procedural documentation needs to reflect plant as-builds. Otherwise regulatory, safety, environmental
and quality compliances across corporation may fail.
Engineering
information
available for
application
• Engineering data is created to meet business, operational, corporate or regulatory requirements. In turn driving one or more
conceptual designs. Conceptual designs are refined enabling corporate to solicit and select the most efficient EPC to build engineer,
procure, build and commission the plant. The engineering data is further created, updated and refined through FEED, EPC, and O&M
phases by multiple organizations. It has the longest life, as if structured efficiently can be re-used beyond EOL of the plant. The plant
design basis is continually updated to ensure that it reflects plant as-built. Structured data across multiple organizations ensures
reliable, latest, and accurate data is transmitted and exchanged up and down the operational/engineering supply chains.
• Budgeted Deliverables, 3D Model, Parsed MTO, and Quantity Estimate are tracked in plant context & its phases.
Procurement
information
and project
controls
synched up
• Procurement data, onsite delivery and material management timelines are managed and aligned. Parsed MTO, ROS Dates,
Prioritization and Material Receipt and Release are tracked in plant context & aligned across phases. Documentation created and
managed for Bidders Lists, Purchase Order Pro-Forma, Contracts Pro-Forma and Transportation and Logistics. Documentation for
Engineering Specifications, Engineering Quantities, Bid evaluations, and Contract award. Documentation for shop/site Inspections,
Track Status, Expedite per ROS Dates. Documentation for Transport & Receive, Warehouse, Maintain, and Release to Construction.
• Construction & vendor lead times influenced by Engineering drive procurement process & data. It is crucial to order the correct
materials on-time. Orders placed with obsolete Engineering design impacts cost and schedule.
Construction is
done right first
time and on
time
• Construction data is created and updated mostly by field engineering. It is imperative to build as per design and update design as
constructed, as there are multiple organizations using the same data. Construction data is created and update for construction & site
layout plans, temporary facilities, structural concrete/steel, mechanical and electrical equipment, piping & instrumentation controls,
plant turnover, startup & commissioning, performance testing, and finally plant/data handover to owner/end-user.
• Appropriate project controls enable cost, work, plant, and schedule breakdown structures are integrated and streamlined across all
phases of Project Lifecycle and organizations involved. The data created and updated during this phase must be 100% aligned with
project cost, schedule, work, and asset breakdown structures.
Operations and
Maintenance is
safer and more
reliable
• Many plants are built based on design basis that overtime has many as-built changes to meet geographical, regulatory and supply
chain constraints. These as-builds should be kept up to date in corporate records to ensure complete alignment such that recall,
warranties, and reliability is managed holistically. Issues in design, form, fit and function of equipment should not only be dealt locally.
• Safety, environment and regulatory compliance is maintained across the corporation and extended enterprise. Levels of modeling are
progressively maturated from 2D Drawings and Sketches, 3D CAD Model with data attribute links, 4D Construction Simulation Model,
through 5D Cost Tracking Model. As higher levels of data maturity impacts O&M exponentially.
Did you know that even today the required information exists in enterprises but is stored in multiple systems not linked to physical assets
(Plants, Wells, Platforms) with little context of business and operating model?
Information to Knowledge
Did you know that information is classification of data
enabling quick and relevant access at the time of need
and application.
Categorization of information transformation into
knowledge across different organizational disciplines
helps to gage importance of influential data and how
to best access it.

6. Enable your employees, partners, and extended supply chain to easily access, re-use, share, and collaborate accurate information in
business processes and applications with certainty
Corporate
knowledge is
used, reused,
and trusted
• Data from multiple systems and sources is often difficult to manage and control . Overwhelming data exchange across internal and
external sources when captured and structured provides better control. Different disciplines value data differently and its value is
realized when used with confidence. Corporate decisions are made based on its authenticity and accuracy.
• Multiple versions of data lead to time consuming and bad decision making. Obsolete data is not useful and is sometimes dangerous.
• Embedded data in policy and procedural documentation needs to reflect plant as-builds. Otherwise regulatory, safety, environmental
and quality compliances across corporation may fail.
Engineering
knowledge is
accessible real-
time for
training,
analysis, and
execution
• Engineering data is created to meet business, operational, corporate or regulatory requirements. In turn driving one or more
conceptual designs. Conceptual designs are refined enabling corporate to solicit and select the most efficient EPC to build engineer,
procure, build and commission the plant. The engineering data is further created, updated and refined through FEED, EPC, and O&M
phases by multiple organizations. It has the longest life, as if structured efficiently can be re-used beyond EOL of the plant. The plant
design basis is continually updated to ensure that it reflects plant as-built. Structured data across multiple organizations ensures
reliable, latest, and accurate data is transmitted and exchanged up and down the operational/engineering supply chains.
• Budgeted Deliverables, 3D Model, Parsed MTO, and Quantity Estimate are tracked in plant context & its phases.
Procurement
knowledge
fully
embedded in
project
controls
• Procurement data, onsite delivery and material management timelines are managed and aligned. Parsed MTO, ROS Dates,
Prioritization and Material Receipt and Release are tracked in plant context & aligned across phases. Documentation created and
managed for Bidders Lists, Purchase Order Pro-Forma, Contracts Pro-Forma and Transportation and Logistics. Documentation for
Engineering Specifications, Engineering Quantities, Bid evaluations, and Contract award. Documentation for shop/site Inspections,
Track Status, Expedite per ROS Dates. Documentation for Transport & Receive, Warehouse, Maintain, and Release to Construction.
• Construction & vendor lead times influenced by Engineering drive procurement process & data. It is crucial to order the correct
materials on-time. Orders placed with obsolete Engineering design impacts cost and schedule.
Construction is
modularized
based on
global design
• Construction data is created and updated mostly by field engineering. It is imperative to build as per design and update design as
constructed, as there are multiple organizations using the same data. Construction data is created and update for construction & site
layout plans, temporary facilities, structural concrete/steel, mechanical and electrical equipment, piping & instrumentation controls,
plant turnover, startup & commissioning, performance testing, and finally plant/data handover to owner/end-user.
• Appropriate project controls enable cost, work, plant, and schedule breakdown structures are integrated and streamlined across all
phases of Project Lifecycle and organizations involved. The data created and updated during this phase must be 100% aligned with
project cost, schedule, work, and asset breakdown structures.
Operations and
Maintenance is
more proactive
and less
reactive
• Many plants are built based on design basis that overtime has many as-built changes to meet geographical, regulatory and supply
chain constraints. These as-builds should be kept up to date in corporate records to ensure complete alignment such that recall,
warranties, and reliability is managed holistically. Issues in design, form, fit and function of equipment should not only be dealt locally.
• Safety, environment and regulatory compliance is maintained across the corporation and extended enterprise. Levels of modeling are
progressively maturated from 2D Drawings and Sketches, 3D CAD Model with data attribute links, 4D Construction Simulation Model,
through 5D Cost Tracking Model. As higher levels of data maturity impacts O&M exponentially.
Did you know that even today the information in enterprises is not modularized to enable reuse and repurpose for new projects? And
information in not accessible in the form of knowledge for operations, training, and projects.
Knowledge to Business Intelligence
Did you know that Knowledge is lost by companies
every day as one or more of their employees leave the
company
The business intelligence tell us where and what is
happing and provides trends for how to best apply
what we know and what we don’t…

7. Data transformation
Data Information Knowledge
What should go here?
What do you think
knowledge is?
Is knowledge an
application of
information gained from
experience?
Or is it where data is used
as information to make
decisions based on
experience?
Facts, information, and skills acquired by a person through experience or education; the
theoretical or practical understanding of a subject.
Awareness or familiarity gained by experience of a fact or situation.
Definitionfrom Google.com