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DATA MODELING AT KIEWIT
Louise Breathnach, Principal Architect, Data Strategy, Kiewit Technology Group
Donna Burbank, Managing Director, Global Data Strategy
DATA MODELING AT KIEWIT – MARCH 2021
• Principal Architect, Data Strategy at Kiewit
Technology Group
• 25+ years experience in data-intensive software
development
o Natural Language Processing
o Data security
o Streaming data ingest and processing
o High availability systems
• I models!
LOUISE BREATHNACH
DATA MODELING AT KIEWIT – MARCH 2021
DONNA BURBANK
3
• Recognized industry expert in
information management with over
20 years of experience in data
strategy, information
management, data modeling,
metadata management, and
enterprise architecture.
• Managing Director at Global Data
Strategy, Ltd., an international
information management
consulting company that
specializes in the alignment of
business drivers with data-centric
technology.
• DAMA International member. Past
President and Advisor to the
DAMA Rocky Mountain chapter.
• Excellence in Data Management
Award from DAMA International.
• Has worked with dozens of
Fortune 500 companies worldwide
in the Americas, Europe, Asia, and
Africa and speaks regularly at
industry conferences.
• Co-author of several books on
data management.
• Regular contributor to industry
publications.
Follow on Twitter @donnaburbank
@GlobalDataStrat
Twitter Event hashtag: #DAStrategies
DATA MODELING AT KIEWIT – MARCH 2021
DATAVERSITY DATA ARCHITECTURE STRATEGIES
January Emerging Trends in Data Architecture – What’s the Next Big Thing?
February Building a Data Strategy - Practical Steps for Aligning with Business Goals
March Data Modeling Case Study – Business Data Modeling at Kiewit
April Master Data Management – Aligning Data, Process, and Governance
May Data Architecture, Solution Architecture, Platform Architecture – What’s the Difference?
June Enterprise Architecture vs. Data Architecture
July Best Practices in Metadata Management
August Data Quality Best Practices (with guest Nigel Turner)
September Data Modeling Techniques
October Data Governance: Aligning Technical & Business Approaches
December Data Architecture for Digital Transformation
4
This year’s lineup:
DATA MODELING AT KIEWIT – MARCH 2021
WHAT WE’LL COVER TODAY
• Kiewit has been a leader in the construction industry since 1884. Key to the organization’s
success is not only its focus on high quality engineering and its forward-thinking workforce, but
its ability to manage complexity in a clear, concise, and data-driven way.
• As part of the organization’s strategic initiative to become even more data-driven in the way it
estimates and manages projects, conceptual data models were built to create an overview of
critical key data assets.
• Data architecture diagrams resonated well with key stakeholders who were well accustomed
to driving success based on architectural diagrams, and these models were a key driver for
the future data strategy for the organization.
• This webinar will discuss Kiewit’s journey to success through business-focused data models.
5
DATA MODELING AT KIEWIT – MARCH 2021
• More than 135 years of construction excellence
• Diversified business operations throughout North America
• $12.5 billion in 2020 revenue
• Experienced and dedicated management team
o Privately held – owned by active employees
• Emphasis on safety and quality
• Strength through core values
• One of the largest privately owned equipment fleets in
North America – 24,000 units with a $3 billion
replacement value
• Employs 27,000 staff and craft employees
KIEWIT CORPORATION
6
DATA MODELING AT KIEWIT – MARCH 2021
• Industry-wide low data maturity
• Proliferation of data solutions and silos
• Inconsistent knowledge of Kiewit data across
IT and business
• Fledgling data governance and data
architecture efforts
• 2016 CEO goal to be data driven
• “Pleased but not satisfied” culture
• Stewardship is a Kiewit core value
• Pockets of data excellence
KIEWIT’S DATA CHALLENGES AND ADVANTAGES
7
Goal: Make data visible so we can better manage it.
Challenges Advantages
DATA MODELING AT KIEWIT – MARCH 2021
8
DATA-DRIVEN BUSINESS TRANSFORMATION
Business Strategy
Aligned With
Data Strategy
How We Work
• Data and Technology work best when aligned with the organization’s culture and business goals.
Why…
• is this organization unique?
• is this organization successful and valuable?
Who …
• is the “persona” of the organization?
• Are the key stakeholders?
What …
• language is used?
• is the ‘style’ of the organization
How…
• does the organization work? Process-driven,
metric-driven, Organization-focused, etc.
• is the company organized and run? Visit www.globaldatastrategy.com for more information
DATA MODELING AT KIEWIT – MARCH 2021
FRAMING THE SITUATION
DATA MODELING AT KIEWIT – MARCH 2021
THE APPROACH
10
• Organize data by business capability
• Conceptual data model for clarity of language
• Sub-models can have high level of detail –
“almost logical”
• Tell the “story” through architectural models
• Communicate results through architectural
modeling software - align with the way of
working of the business
DATA MODELING AT KIEWIT – MARCH 2021 11
WHAT IS A DATA MODEL?
In construction, a high-level architecture
diagram provides overall context and
scope…
…which directs the technical
implementation and building of the plant.
DATA MODELING AT KIEWIT – MARCH 2021
WHAT IS A DATA MODEL?
12
With data, a high-level architecture
diagram provides overall business
context and scope…
…which directs the technical implementation
and building of databases, systems and
analytics.
DATA MODELING AT KIEWIT – MARCH 2021
DATA POWERS THE BUSINESS
13
In a combined-cycle power plant, the steam from plant operations is reused to provide power
generation, increasing efficiency and innovation.
Energy
DATA MODELING AT KIEWIT – MARCH 2021
DATA POWERS THE BUSINESS
14
Within Kiewit, like the combined-cycle power plant, data is the “steam power” from business
operations that can be reused as a “digital thread” to increase efficiency and innovation.
Data Governance
Analytics
Reporting
Reference
Data
Master
Data
Data Models, Business Glossary, Metadata
Data
Lake
Data
Transformation -
ETL
Data
Warehouse
Data Staging
Area
Business
Insight
Operational Data
- Purchase Orders
- Design Specs
- Estimates
Raw Data
- Equipment Telemetry
- Weather Readings
Financial Data
- Estimates
- Budgets
DATA MODELING AT KIEWIT – MARCH 2021
Mine
Documents
Interview
Experts
Build the
Model
Validate
and
Network
WHAT WE DID
15
• Mined operating procedures, training
documents, reports for concepts
• Interviewed ~ 30 IT personnel
• Modeled each business capability area
• Validated the Capability Model and
Conceptual Model with business subject
matter experts
• Networked by asking each expert to name
other business SMEs
• Over 100 business SMEs contributed to the
data model!
DATA MODELING AT KIEWIT – MARCH 2021
SUBJECT AREA vs. CAPABILITY MODEL
16
Kiewit is a
company of doers.
We organize our
models by
business capability
to better align with
how the business
thinks about data.
DATA MODELING AT KIEWIT – MARCH 2021
COMPLEX CONCEPTUAL MODELS
17
Kiewit designs and
builds complex projects
in diverse markets.
Condensing that
complexity into a single
page model was
challenging!
We use a one-page
model to give an
overview, but we work
in the submodels, like
the example shown
here.
DATA MODELING AT KIEWIT – MARCH 2021 18
DATA MODELING AT KIEWIT – MARCH 2021 19
DATA MODELING AT KIEWIT – MARCH 2021
• Capability model was more natural for business to understand
• Most people were really engaged in the process and the result, despite being incredibly busy
• COVID made this process more difficult – whiteboards and face-to-face communication worked best
• IT view of data was very different from business view
• Highly decentralized business = lots of overloaded terms; lots of discussion to sort these out
• Easy for business SMEs to identify data problems by pointing at the model
o Confidence in data
o Data movement between business processes
o Inconsistent usage across the business
o Lack of awareness of downstream data consumers
WHAT WE LEARNED
20
DATA MODELING AT KIEWIT – MARCH 2021
• Business experts volunteered feedback – by marking up the models using their standard-issue diagram
review tool
• Addressing data issues identified by SMEs – working with Data Quality, Application Development, Data
Stewards, business process owners
• Incorporating the model into Kiewit Data School – a 10-week data literacy course for Kiewit design and
field engineers, managers, and home office personnel
• Using to inform impact analysis from legacy system decommissioning
o Business capability is the throughline between systems and data
o Downstream data relationships
o Records retention
o Data disposition
NOW & NEXT
21
DATA MODELING AT KIEWIT – MARCH 2021
• Data models are a great way for business and IT stakeholders to communicate
o Use the language of the business
o Tell the “story” that aligned with the business’ “day job”
o Choose the right level of detail (e.g. conceptual data model)
o Focus on results and action
• Working with the business through data models can result in new insights and ideas around data
SUMMARY
22
DATA MODELING AT KIEWIT – MARCH 2021
• Global Data Strategy is an international information management consulting company that
specializes in the alignment of business drivers with data-centric technology.
• Our passion is data, and helping organizations enrich their business opportunities through data and
information.
• Our core values center around providing solutions that are:
o Business-Driven: We put the needs of your business first, before we look at any technology solution.
o Clear & Relevant: We provide clear explanations using real-world examples.
o Customized & Right-Sized: Our implementations are based on the unique needs of your
organization’s size, corporate culture, and geography.
o High Quality & Technically Precise: We pride ourselves in excellence of execution, with years of
technical expertise in the industry.
23
DATA-DRIVEN BUSINESS TRANSFORMATION
Visit www.globaldatastrategy.com for more information
Who We Are
DATA MODELING AT KIEWIT – MARCH 2021
DATAVERSITY DATA ARCHITECTURE STRATEGIES
January Emerging Trends in Data Architecture – What’s the Next Big Thing?
February Building a Data Strategy - Practical Steps for Aligning with Business Goals
March Data Modeling Case Study – Business Data Modeling at Kiewit
April Master Data Management – Aligning Data, Process, and Governance
May Data Architecture, Solution Architecture, Platform Architecture – What’s the Difference?
June Enterprise Architecture vs. Data Architecture
July Best Practices in Metadata Management
August Data Quality Best Practices (with guest Nigel Turner)
September Data Modeling Techniques
October Data Governance: Aligning Technical & Business Approaches
December Data Architecture for Digital Transformation
24
This year’s lineup:
DATA MODELING AT KIEWIT – MARCH 2021
Questions?
Thoughts? Ideas?
25

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DAS Slides: Data Modeling Case Study — Business Data Modeling at Kiewit

  • 1. DATA MODELING AT KIEWIT Louise Breathnach, Principal Architect, Data Strategy, Kiewit Technology Group Donna Burbank, Managing Director, Global Data Strategy
  • 2. DATA MODELING AT KIEWIT – MARCH 2021 • Principal Architect, Data Strategy at Kiewit Technology Group • 25+ years experience in data-intensive software development o Natural Language Processing o Data security o Streaming data ingest and processing o High availability systems • I models! LOUISE BREATHNACH
  • 3. DATA MODELING AT KIEWIT – MARCH 2021 DONNA BURBANK 3 • Recognized industry expert in information management with over 20 years of experience in data strategy, information management, data modeling, metadata management, and enterprise architecture. • Managing Director at Global Data Strategy, Ltd., an international information management consulting company that specializes in the alignment of business drivers with data-centric technology. • DAMA International member. Past President and Advisor to the DAMA Rocky Mountain chapter. • Excellence in Data Management Award from DAMA International. • Has worked with dozens of Fortune 500 companies worldwide in the Americas, Europe, Asia, and Africa and speaks regularly at industry conferences. • Co-author of several books on data management. • Regular contributor to industry publications. Follow on Twitter @donnaburbank @GlobalDataStrat Twitter Event hashtag: #DAStrategies
  • 4. DATA MODELING AT KIEWIT – MARCH 2021 DATAVERSITY DATA ARCHITECTURE STRATEGIES January Emerging Trends in Data Architecture – What’s the Next Big Thing? February Building a Data Strategy - Practical Steps for Aligning with Business Goals March Data Modeling Case Study – Business Data Modeling at Kiewit April Master Data Management – Aligning Data, Process, and Governance May Data Architecture, Solution Architecture, Platform Architecture – What’s the Difference? June Enterprise Architecture vs. Data Architecture July Best Practices in Metadata Management August Data Quality Best Practices (with guest Nigel Turner) September Data Modeling Techniques October Data Governance: Aligning Technical & Business Approaches December Data Architecture for Digital Transformation 4 This year’s lineup:
  • 5. DATA MODELING AT KIEWIT – MARCH 2021 WHAT WE’LL COVER TODAY • Kiewit has been a leader in the construction industry since 1884. Key to the organization’s success is not only its focus on high quality engineering and its forward-thinking workforce, but its ability to manage complexity in a clear, concise, and data-driven way. • As part of the organization’s strategic initiative to become even more data-driven in the way it estimates and manages projects, conceptual data models were built to create an overview of critical key data assets. • Data architecture diagrams resonated well with key stakeholders who were well accustomed to driving success based on architectural diagrams, and these models were a key driver for the future data strategy for the organization. • This webinar will discuss Kiewit’s journey to success through business-focused data models. 5
  • 6. DATA MODELING AT KIEWIT – MARCH 2021 • More than 135 years of construction excellence • Diversified business operations throughout North America • $12.5 billion in 2020 revenue • Experienced and dedicated management team o Privately held – owned by active employees • Emphasis on safety and quality • Strength through core values • One of the largest privately owned equipment fleets in North America – 24,000 units with a $3 billion replacement value • Employs 27,000 staff and craft employees KIEWIT CORPORATION 6
  • 7. DATA MODELING AT KIEWIT – MARCH 2021 • Industry-wide low data maturity • Proliferation of data solutions and silos • Inconsistent knowledge of Kiewit data across IT and business • Fledgling data governance and data architecture efforts • 2016 CEO goal to be data driven • “Pleased but not satisfied” culture • Stewardship is a Kiewit core value • Pockets of data excellence KIEWIT’S DATA CHALLENGES AND ADVANTAGES 7 Goal: Make data visible so we can better manage it. Challenges Advantages
  • 8. DATA MODELING AT KIEWIT – MARCH 2021 8 DATA-DRIVEN BUSINESS TRANSFORMATION Business Strategy Aligned With Data Strategy How We Work • Data and Technology work best when aligned with the organization’s culture and business goals. Why… • is this organization unique? • is this organization successful and valuable? Who … • is the “persona” of the organization? • Are the key stakeholders? What … • language is used? • is the ‘style’ of the organization How… • does the organization work? Process-driven, metric-driven, Organization-focused, etc. • is the company organized and run? Visit www.globaldatastrategy.com for more information
  • 9. DATA MODELING AT KIEWIT – MARCH 2021 FRAMING THE SITUATION
  • 10. DATA MODELING AT KIEWIT – MARCH 2021 THE APPROACH 10 • Organize data by business capability • Conceptual data model for clarity of language • Sub-models can have high level of detail – “almost logical” • Tell the “story” through architectural models • Communicate results through architectural modeling software - align with the way of working of the business
  • 11. DATA MODELING AT KIEWIT – MARCH 2021 11 WHAT IS A DATA MODEL? In construction, a high-level architecture diagram provides overall context and scope… …which directs the technical implementation and building of the plant.
  • 12. DATA MODELING AT KIEWIT – MARCH 2021 WHAT IS A DATA MODEL? 12 With data, a high-level architecture diagram provides overall business context and scope… …which directs the technical implementation and building of databases, systems and analytics.
  • 13. DATA MODELING AT KIEWIT – MARCH 2021 DATA POWERS THE BUSINESS 13 In a combined-cycle power plant, the steam from plant operations is reused to provide power generation, increasing efficiency and innovation. Energy
  • 14. DATA MODELING AT KIEWIT – MARCH 2021 DATA POWERS THE BUSINESS 14 Within Kiewit, like the combined-cycle power plant, data is the “steam power” from business operations that can be reused as a “digital thread” to increase efficiency and innovation. Data Governance Analytics Reporting Reference Data Master Data Data Models, Business Glossary, Metadata Data Lake Data Transformation - ETL Data Warehouse Data Staging Area Business Insight Operational Data - Purchase Orders - Design Specs - Estimates Raw Data - Equipment Telemetry - Weather Readings Financial Data - Estimates - Budgets
  • 15. DATA MODELING AT KIEWIT – MARCH 2021 Mine Documents Interview Experts Build the Model Validate and Network WHAT WE DID 15 • Mined operating procedures, training documents, reports for concepts • Interviewed ~ 30 IT personnel • Modeled each business capability area • Validated the Capability Model and Conceptual Model with business subject matter experts • Networked by asking each expert to name other business SMEs • Over 100 business SMEs contributed to the data model!
  • 16. DATA MODELING AT KIEWIT – MARCH 2021 SUBJECT AREA vs. CAPABILITY MODEL 16 Kiewit is a company of doers. We organize our models by business capability to better align with how the business thinks about data.
  • 17. DATA MODELING AT KIEWIT – MARCH 2021 COMPLEX CONCEPTUAL MODELS 17 Kiewit designs and builds complex projects in diverse markets. Condensing that complexity into a single page model was challenging! We use a one-page model to give an overview, but we work in the submodels, like the example shown here.
  • 18. DATA MODELING AT KIEWIT – MARCH 2021 18
  • 19. DATA MODELING AT KIEWIT – MARCH 2021 19
  • 20. DATA MODELING AT KIEWIT – MARCH 2021 • Capability model was more natural for business to understand • Most people were really engaged in the process and the result, despite being incredibly busy • COVID made this process more difficult – whiteboards and face-to-face communication worked best • IT view of data was very different from business view • Highly decentralized business = lots of overloaded terms; lots of discussion to sort these out • Easy for business SMEs to identify data problems by pointing at the model o Confidence in data o Data movement between business processes o Inconsistent usage across the business o Lack of awareness of downstream data consumers WHAT WE LEARNED 20
  • 21. DATA MODELING AT KIEWIT – MARCH 2021 • Business experts volunteered feedback – by marking up the models using their standard-issue diagram review tool • Addressing data issues identified by SMEs – working with Data Quality, Application Development, Data Stewards, business process owners • Incorporating the model into Kiewit Data School – a 10-week data literacy course for Kiewit design and field engineers, managers, and home office personnel • Using to inform impact analysis from legacy system decommissioning o Business capability is the throughline between systems and data o Downstream data relationships o Records retention o Data disposition NOW & NEXT 21
  • 22. DATA MODELING AT KIEWIT – MARCH 2021 • Data models are a great way for business and IT stakeholders to communicate o Use the language of the business o Tell the “story” that aligned with the business’ “day job” o Choose the right level of detail (e.g. conceptual data model) o Focus on results and action • Working with the business through data models can result in new insights and ideas around data SUMMARY 22
  • 23. DATA MODELING AT KIEWIT – MARCH 2021 • Global Data Strategy is an international information management consulting company that specializes in the alignment of business drivers with data-centric technology. • Our passion is data, and helping organizations enrich their business opportunities through data and information. • Our core values center around providing solutions that are: o Business-Driven: We put the needs of your business first, before we look at any technology solution. o Clear & Relevant: We provide clear explanations using real-world examples. o Customized & Right-Sized: Our implementations are based on the unique needs of your organization’s size, corporate culture, and geography. o High Quality & Technically Precise: We pride ourselves in excellence of execution, with years of technical expertise in the industry. 23 DATA-DRIVEN BUSINESS TRANSFORMATION Visit www.globaldatastrategy.com for more information Who We Are
  • 24. DATA MODELING AT KIEWIT – MARCH 2021 DATAVERSITY DATA ARCHITECTURE STRATEGIES January Emerging Trends in Data Architecture – What’s the Next Big Thing? February Building a Data Strategy - Practical Steps for Aligning with Business Goals March Data Modeling Case Study – Business Data Modeling at Kiewit April Master Data Management – Aligning Data, Process, and Governance May Data Architecture, Solution Architecture, Platform Architecture – What’s the Difference? June Enterprise Architecture vs. Data Architecture July Best Practices in Metadata Management August Data Quality Best Practices (with guest Nigel Turner) September Data Modeling Techniques October Data Governance: Aligning Technical & Business Approaches December Data Architecture for Digital Transformation 24 This year’s lineup:
  • 25. DATA MODELING AT KIEWIT – MARCH 2021 Questions? Thoughts? Ideas? 25