SlideShare a Scribd company logo
1 of 25
Digital Innovations and
the / a / my / their Cloud
enabling innovation using cloud
Ronald Baan
Independent Data Architect
DataForAChange.com
Agenda
• Building Information Management
• Cloud
• My questions to you
and discussion
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
2
Data architect
Ronald is a data architect, who “provides a standard common
business vocabulary, expresses strategic data requirements,
outlines high level integrated designs to meet these requirements,
and aligns with enterprise strategy and related business
architecture.”
Ronald has been working for The Dutch Ministry of Infrastructure
and Waterstaat, Waternet (the water company of the Amsterdam),
the Royal Library of The Netherlands as data architect.
Ronald sees clouds too!
3
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
The promise of Building Information Management
A single collaborative, online,
project model (3D models,
asset data, documentation,
geo data) with construction
sequencing (4D), cost (5D) and
project lifecycle information
(6D).
Integrated BIM is intended to
deliver better business
outcomes. Berlin, 19 October 2018Data Innovations and Cloud
4
Innovation and Collaboration in Infrastructure
• Stages of constructions:
1. as required – 2. as designed – 3. as built – 4. as maintained
• Many parties involved:
owner – contractors – suppliers – regulators - investors
• Many Systems:
3D CAD - Enterprise Asset Management – GIS – Finances – HR - …
• Many Processes:
people – systems – data
• Digital Twins:
digital copy of physical assets – 3D, Data, Specs, Geo, Documentation, Sensory
• 3D, 4D, 5D, 6D BIM
calculations - scenarios – planning – investments – optimisations
5
proces
Data
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Going all digital
19 October 2018
6
It is not ‘a bit’ or
‘a lot’ digitally available
for the BIM processes to
work
Only all digital fulfills the
promise
That is a challenge!
BIM and the need for semantics and cloud
Businesses and government agencies
who plan, design, construct, operate
and maintain buildings and physical
infrastructure (such as water, roads,
electricity, bridges) are turning to BIM
to make their processes much more
efficient.
They are increasingly using semantic
modelling and cloud to speed up their
innovations.
7
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Semantic Modelling
• Semantic modelling enables integrating diverse information
resources and analysing them in a way that preserves their
meaning.
• Traditional data management techniques do not meet the
demands of complex, agile data integration, especially
when Web resources are involved.
• Semantic modelling based on Linked Data can link internal
and external data sources to get deep insights without the
need to recreate these external data sources.
8
System and process
independent
Human and machine
readable
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Demonstration Semantic Data Model 9
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Move to the cloud?
• Collaboration between owner and
multiple contractors, suppliers,
using different systems, from several
locations.
• Lots of data.
Can it be done?
• Data are described independent of
systems and processes and data can
be accessed, including documents,
drawings, data sets, etc.
So there is a good chance!
10
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Building world not the most ‘modern’
But that is changing,
call for action:
• Maturity
• TCO
• Agility
• Innovative
• Capacity
• Investments
• Consolidation
• Connectivity
• Redesign
19 October 2018
11
Building world has started to move!
Berlin, 19 October 2018Data Innovations and Cloud
12
The big enabler is semantic
modelling
Data structures are clearly
defined
Open Standards can be used
by all
There is a lot at stake
BIM cloud developments
• Now
• Data transfer – own storage, on premise computing
• Soon
• Data sharing – storage as a service, on premise computing
• Later
• Application – platform and software as a service, cloud computing
Because the data can be semantically described,
it is easy to move data and computing seamlessly around
between different systems and processes
13
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
14
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
What cloud?
• Network
• Infrastructure as a service
• Storage
• Storage as a service
• File sharing, data warehouse, data lake, backup, archiving
• Compute
• Platform as a service
• Software as a service
• Hybrid cloud
• Inside out/ Outside in
• Multiple vendors / Multiple solutions
15
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Start with an end in mind 16
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
17
security
sensitive
data
regulatory
control
performance
costs
For any application you are unwilling to move to the cloud, what is the reason?
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Is cloud cheaper?
• Most organizations expect cloud to be cheaper
• How do you make sure you get cost benefits?
18
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Centralise or Decentralise?
• Is cloud going to enable centralisation and decentralisation?
• Do we need/want decentralisation?
19
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Edge computing
• Build a decentralized and distributed architecture by placing more
analytics at the edge, rather than only in a central platform.
• Less data back and forth
• Less stress on the infrastructure
• No single point of failure
• Hyper personalised experiences and Internet of Things (IoT)
• Centralised clouds – Edge clouds – Edge nodes
• a.k.a. fog computing
20
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Hybrid cloud
• Risk mitigation
• Reducing lock-in
• Redundancy (business continuity/disaster recovery)
• Portability
• Agility
• Opportunistic use-case placement
• Cloud provider innovation
• Different teams selecting different cloud providers
• Mergers and acquisitions
21
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
22Hybrid IT
• Hybrid IT has become the standard, as
organisations deploy more and more
cloud services, while also maintaining
traditional on-premises environments.
• Success will require managing
integrations and operation’s tasks (such
as provisioning and monitoring)
• Worth the extra effort:
• Increased agility
• Best solution for applications
• Less vendor lock-in
• Embrace Hybrid IT, it is already here
and Hybrid IT is fundamentally good IT
practice
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
What do you need when moving to the cloud?
People
• Talent: 10%
• Culture: 47%
• Resources: 27%
• Rest: 16%
23
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Essentials for the perfect cloud experience
• All digital
• at least what is within scope
• Semantic model
• save yourself
• Exit strategy
• because even good things come to an end
and there is always something better around
the corner
• Think Hybrid
• more effort, but more agility, better
solutions and less risk
24
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
Thank you!
Any Questions?
Ronald Baan
Data for a Change
ronald@dataforachange.com
www.linkedin.com/in/ronaldbaan
25
Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com

More Related Content

What's hot

Banji Adenusi - big data prezzie - InfoSci
Banji Adenusi - big data prezzie - InfoSciBanji Adenusi - big data prezzie - InfoSci
Banji Adenusi - big data prezzie - InfoSciBanji Adenusi
 
Linked data flows in multi-player games for servitization
Linked data flows in multi-player games for servitization Linked data flows in multi-player games for servitization
Linked data flows in multi-player games for servitization urvics
 
Europe rules – making the fair data economy flourish
Europe rules – making the fair data economy flourishEurope rules – making the fair data economy flourish
Europe rules – making the fair data economy flourishSitra / Hyvinvointi
 
"Towards Value-Centric Big Data" e-SIDES Workshop - "Privacy Preserving Techn...
"Towards Value-Centric Big Data" e-SIDES Workshop - "Privacy Preserving Techn..."Towards Value-Centric Big Data" e-SIDES Workshop - "Privacy Preserving Techn...
"Towards Value-Centric Big Data" e-SIDES Workshop - "Privacy Preserving Techn...e-SIDES.eu
 
IDC pixx.io buyer case study
IDC pixx.io buyer case study IDC pixx.io buyer case study
IDC pixx.io buyer case study Karine Faucher
 
How Eduserv are helping local government organisations
How Eduserv are helping local government organisationsHow Eduserv are helping local government organisations
How Eduserv are helping local government organisationsEduserv
 
Shared Digital Twins: Collaboration in Ecosystems
Shared Digital Twins: Collaboration in EcosystemsShared Digital Twins: Collaboration in Ecosystems
Shared Digital Twins: Collaboration in EcosystemsBoris Otto
 
The Challenges of model based and traditional plm
The Challenges of model based and traditional plmThe Challenges of model based and traditional plm
The Challenges of model based and traditional plmJos Voskuil
 
Digital Business
Digital BusinessDigital Business
Digital Businessijtsrd
 
Evolution of Data Spaces
Evolution of Data SpacesEvolution of Data Spaces
Evolution of Data SpacesBoris Otto
 
Open data for smart cities
Open data for smart citiesOpen data for smart cities
Open data for smart citiesSören Auer
 
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...European Data Forum
 
Big Data Public-Private Forum_General Presentation
Big Data Public-Private Forum_General PresentationBig Data Public-Private Forum_General Presentation
Big Data Public-Private Forum_General PresentationBIG Project
 
Call for Papers - 2nd International Conference on Big Data (CBDA 2021)
Call for Papers - 2nd International Conference on Big Data (CBDA 2021)Call for Papers - 2nd International Conference on Big Data (CBDA 2021)
Call for Papers - 2nd International Conference on Big Data (CBDA 2021)ijwscjournal
 
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...European Data Forum
 

What's hot (20)

Banji Adenusi - big data prezzie - InfoSci
Banji Adenusi - big data prezzie - InfoSciBanji Adenusi - big data prezzie - InfoSci
Banji Adenusi - big data prezzie - InfoSci
 
Linked data flows in multi-player games for servitization
Linked data flows in multi-player games for servitization Linked data flows in multi-player games for servitization
Linked data flows in multi-player games for servitization
 
Europe rules – making the fair data economy flourish
Europe rules – making the fair data economy flourishEurope rules – making the fair data economy flourish
Europe rules – making the fair data economy flourish
 
"Towards Value-Centric Big Data" e-SIDES Workshop - "Privacy Preserving Techn...
"Towards Value-Centric Big Data" e-SIDES Workshop - "Privacy Preserving Techn..."Towards Value-Centric Big Data" e-SIDES Workshop - "Privacy Preserving Techn...
"Towards Value-Centric Big Data" e-SIDES Workshop - "Privacy Preserving Techn...
 
IDC pixx.io buyer case study
IDC pixx.io buyer case study IDC pixx.io buyer case study
IDC pixx.io buyer case study
 
How Eduserv are helping local government organisations
How Eduserv are helping local government organisationsHow Eduserv are helping local government organisations
How Eduserv are helping local government organisations
 
Shared Digital Twins: Collaboration in Ecosystems
Shared Digital Twins: Collaboration in EcosystemsShared Digital Twins: Collaboration in Ecosystems
Shared Digital Twins: Collaboration in Ecosystems
 
The Challenges of model based and traditional plm
The Challenges of model based and traditional plmThe Challenges of model based and traditional plm
The Challenges of model based and traditional plm
 
Cities of the Future: Where The Internet of Everything is Connecting the Unco...
Cities of the Future: Where The Internet of Everything is Connecting the Unco...Cities of the Future: Where The Internet of Everything is Connecting the Unco...
Cities of the Future: Where The Internet of Everything is Connecting the Unco...
 
Digital Business
Digital BusinessDigital Business
Digital Business
 
2019 bdva wg_dg
2019 bdva wg_dg2019 bdva wg_dg
2019 bdva wg_dg
 
Evolution of Data Spaces
Evolution of Data SpacesEvolution of Data Spaces
Evolution of Data Spaces
 
[EN] Panel "The future of Information Management" | Dr. Ulrich Kampffmeyer | ...
[EN] Panel "The future of Information Management" | Dr. Ulrich Kampffmeyer | ...[EN] Panel "The future of Information Management" | Dr. Ulrich Kampffmeyer | ...
[EN] Panel "The future of Information Management" | Dr. Ulrich Kampffmeyer | ...
 
Service System Engineering
Service System EngineeringService System Engineering
Service System Engineering
 
Open data for smart cities
Open data for smart citiesOpen data for smart cities
Open data for smart cities
 
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...
EDF2014: Stefan Wrobel, Institute Director, Fraunhofer IAIS / Member of the b...
 
Big Data Public-Private Forum_General Presentation
Big Data Public-Private Forum_General PresentationBig Data Public-Private Forum_General Presentation
Big Data Public-Private Forum_General Presentation
 
Call for Papers - 2nd International Conference on Big Data (CBDA 2021)
Call for Papers - 2nd International Conference on Big Data (CBDA 2021)Call for Papers - 2nd International Conference on Big Data (CBDA 2021)
Call for Papers - 2nd International Conference on Big Data (CBDA 2021)
 
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
EDF2014: Christian Lindemann, Wolters Kluwer Germany & Christian Dirschl, Wol...
 
Sitra data strategy
Sitra data strategySitra data strategy
Sitra data strategy
 

Similar to Data innovations and cloud 2018-10-19 slideshare

Session 1.3 semantic asset management in the dutch rail engineering and con...
Session 1.3   semantic asset management in the dutch rail engineering and con...Session 1.3   semantic asset management in the dutch rail engineering and con...
Session 1.3 semantic asset management in the dutch rail engineering and con...semanticsconference
 
Drowning in Data but Thirsty for Insights
Drowning in Data but Thirsty for InsightsDrowning in Data but Thirsty for Insights
Drowning in Data but Thirsty for InsightsBenjamin Nussbaum
 
ETDP 2015 D2 Key Note Preparing for a Digital Built Britain - David Philp
ETDP 2015 D2 Key Note  Preparing for a Digital Built Britain - David PhilpETDP 2015 D2 Key Note  Preparing for a Digital Built Britain - David Philp
ETDP 2015 D2 Key Note Preparing for a Digital Built Britain - David PhilpComit Projects Ltd
 
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AI
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AIDynniq & GoDataDriven - Shaping the future of traffic with IoT and AI
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AIBigDataExpo
 
Data-Centric Business Transformation Using Knowledge Graphs
Data-Centric Business Transformation Using Knowledge GraphsData-Centric Business Transformation Using Knowledge Graphs
Data-Centric Business Transformation Using Knowledge GraphsAlan Morrison
 
Collaborative BIM - Asite Breakfast Seminar 2013-10-16
Collaborative BIM - Asite Breakfast Seminar 2013-10-16Collaborative BIM - Asite Breakfast Seminar 2013-10-16
Collaborative BIM - Asite Breakfast Seminar 2013-10-16Asite Solutions Ltd.
 
Collaborative BIM - Asite Breakfast Seminar 2013-10-16
Collaborative BIM - Asite Breakfast Seminar 2013-10-16Collaborative BIM - Asite Breakfast Seminar 2013-10-16
Collaborative BIM - Asite Breakfast Seminar 2013-10-16Nathan Doughty
 
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...Denodo
 
Digital Transformation 2018
Digital Transformation 2018Digital Transformation 2018
Digital Transformation 2018Aconex
 
Industrial IoT: Connecting Existing Machines to Tomorrow's IoT, ft. Deutsche ...
Industrial IoT: Connecting Existing Machines to Tomorrow's IoT, ft. Deutsche ...Industrial IoT: Connecting Existing Machines to Tomorrow's IoT, ft. Deutsche ...
Industrial IoT: Connecting Existing Machines to Tomorrow's IoT, ft. Deutsche ...Amazon Web Services
 
Mindsphere: an open cloud-based IoT operating system for Industry
Mindsphere: an open cloud-based IoT operating system for IndustryMindsphere: an open cloud-based IoT operating system for Industry
Mindsphere: an open cloud-based IoT operating system for IndustryIIoTWorld
 
BIM-naar-GIS dataverwerking: linken en visualiseren
BIM-naar-GIS dataverwerking: linken en visualiseren BIM-naar-GIS dataverwerking: linken en visualiseren
BIM-naar-GIS dataverwerking: linken en visualiseren GIM_nv
 
Wikibon 2018 Predictions
Wikibon 2018 PredictionsWikibon 2018 Predictions
Wikibon 2018 Predictionsplburris
 
Capitalizing on cloud 4.3.18
Capitalizing on cloud 4.3.18Capitalizing on cloud 4.3.18
Capitalizing on cloud 4.3.18Yves Bienenfeld
 
GraphTalks - Einführung
GraphTalks - EinführungGraphTalks - Einführung
GraphTalks - EinführungNeo4j
 
Next generation Polyglot Architectures using Neo4j by Stefan Kolmar
Next generation Polyglot Architectures using Neo4j by Stefan KolmarNext generation Polyglot Architectures using Neo4j by Stefan Kolmar
Next generation Polyglot Architectures using Neo4j by Stefan KolmarBig Data Spain
 
Agile Data Management with Enterprise Data Fabric (Middle East)
Agile Data Management with Enterprise Data Fabric (Middle East)Agile Data Management with Enterprise Data Fabric (Middle East)
Agile Data Management with Enterprise Data Fabric (Middle East)Denodo
 
Agile Data Management with Enterprise Data Fabric (ASEAN)
Agile Data Management with Enterprise Data Fabric (ASEAN)Agile Data Management with Enterprise Data Fabric (ASEAN)
Agile Data Management with Enterprise Data Fabric (ASEAN)Denodo
 
BIM For Free_28May2013_CaseyRutland_BIM for beginners
BIM For Free_28May2013_CaseyRutland_BIM for beginnersBIM For Free_28May2013_CaseyRutland_BIM for beginners
BIM For Free_28May2013_CaseyRutland_BIM for beginnersBIM Academy
 
BIM For Free_28May2013_CaseyRutland_BIM for beginners
BIM For Free_28May2013_CaseyRutland_BIM for beginnersBIM For Free_28May2013_CaseyRutland_BIM for beginners
BIM For Free_28May2013_CaseyRutland_BIM for beginnersBIM Academy
 

Similar to Data innovations and cloud 2018-10-19 slideshare (20)

Session 1.3 semantic asset management in the dutch rail engineering and con...
Session 1.3   semantic asset management in the dutch rail engineering and con...Session 1.3   semantic asset management in the dutch rail engineering and con...
Session 1.3 semantic asset management in the dutch rail engineering and con...
 
Drowning in Data but Thirsty for Insights
Drowning in Data but Thirsty for InsightsDrowning in Data but Thirsty for Insights
Drowning in Data but Thirsty for Insights
 
ETDP 2015 D2 Key Note Preparing for a Digital Built Britain - David Philp
ETDP 2015 D2 Key Note  Preparing for a Digital Built Britain - David PhilpETDP 2015 D2 Key Note  Preparing for a Digital Built Britain - David Philp
ETDP 2015 D2 Key Note Preparing for a Digital Built Britain - David Philp
 
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AI
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AIDynniq & GoDataDriven - Shaping the future of traffic with IoT and AI
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AI
 
Data-Centric Business Transformation Using Knowledge Graphs
Data-Centric Business Transformation Using Knowledge GraphsData-Centric Business Transformation Using Knowledge Graphs
Data-Centric Business Transformation Using Knowledge Graphs
 
Collaborative BIM - Asite Breakfast Seminar 2013-10-16
Collaborative BIM - Asite Breakfast Seminar 2013-10-16Collaborative BIM - Asite Breakfast Seminar 2013-10-16
Collaborative BIM - Asite Breakfast Seminar 2013-10-16
 
Collaborative BIM - Asite Breakfast Seminar 2013-10-16
Collaborative BIM - Asite Breakfast Seminar 2013-10-16Collaborative BIM - Asite Breakfast Seminar 2013-10-16
Collaborative BIM - Asite Breakfast Seminar 2013-10-16
 
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...
Data Virtualization: Fulfilling The Digital Transformation Requirement In Ban...
 
Digital Transformation 2018
Digital Transformation 2018Digital Transformation 2018
Digital Transformation 2018
 
Industrial IoT: Connecting Existing Machines to Tomorrow's IoT, ft. Deutsche ...
Industrial IoT: Connecting Existing Machines to Tomorrow's IoT, ft. Deutsche ...Industrial IoT: Connecting Existing Machines to Tomorrow's IoT, ft. Deutsche ...
Industrial IoT: Connecting Existing Machines to Tomorrow's IoT, ft. Deutsche ...
 
Mindsphere: an open cloud-based IoT operating system for Industry
Mindsphere: an open cloud-based IoT operating system for IndustryMindsphere: an open cloud-based IoT operating system for Industry
Mindsphere: an open cloud-based IoT operating system for Industry
 
BIM-naar-GIS dataverwerking: linken en visualiseren
BIM-naar-GIS dataverwerking: linken en visualiseren BIM-naar-GIS dataverwerking: linken en visualiseren
BIM-naar-GIS dataverwerking: linken en visualiseren
 
Wikibon 2018 Predictions
Wikibon 2018 PredictionsWikibon 2018 Predictions
Wikibon 2018 Predictions
 
Capitalizing on cloud 4.3.18
Capitalizing on cloud 4.3.18Capitalizing on cloud 4.3.18
Capitalizing on cloud 4.3.18
 
GraphTalks - Einführung
GraphTalks - EinführungGraphTalks - Einführung
GraphTalks - Einführung
 
Next generation Polyglot Architectures using Neo4j by Stefan Kolmar
Next generation Polyglot Architectures using Neo4j by Stefan KolmarNext generation Polyglot Architectures using Neo4j by Stefan Kolmar
Next generation Polyglot Architectures using Neo4j by Stefan Kolmar
 
Agile Data Management with Enterprise Data Fabric (Middle East)
Agile Data Management with Enterprise Data Fabric (Middle East)Agile Data Management with Enterprise Data Fabric (Middle East)
Agile Data Management with Enterprise Data Fabric (Middle East)
 
Agile Data Management with Enterprise Data Fabric (ASEAN)
Agile Data Management with Enterprise Data Fabric (ASEAN)Agile Data Management with Enterprise Data Fabric (ASEAN)
Agile Data Management with Enterprise Data Fabric (ASEAN)
 
BIM For Free_28May2013_CaseyRutland_BIM for beginners
BIM For Free_28May2013_CaseyRutland_BIM for beginnersBIM For Free_28May2013_CaseyRutland_BIM for beginners
BIM For Free_28May2013_CaseyRutland_BIM for beginners
 
BIM For Free_28May2013_CaseyRutland_BIM for beginners
BIM For Free_28May2013_CaseyRutland_BIM for beginnersBIM For Free_28May2013_CaseyRutland_BIM for beginners
BIM For Free_28May2013_CaseyRutland_BIM for beginners
 

Recently uploaded

Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiLow Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiSuhani Kapoor
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一ffjhghh
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls DubaiDubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls Dubaihf8803863
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Sapana Sha
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Delhi Call girls
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSAishani27
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改atducpo
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts ServiceSapana Sha
 
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsappssapnasaifi408
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystSamantha Rae Coolbeth
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...Suhani Kapoor
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130Suhani Kapoor
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...Florian Roscheck
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz1
 

Recently uploaded (20)

Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service BhilaiLow Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
Low Rate Call Girls Bhilai Anika 8250192130 Independent Escort Service Bhilai
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls DubaiDubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICS
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts Service
 
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data Analyst
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signals
 
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
 

Data innovations and cloud 2018-10-19 slideshare

  • 1. Digital Innovations and the / a / my / their Cloud enabling innovation using cloud Ronald Baan Independent Data Architect DataForAChange.com
  • 2. Agenda • Building Information Management • Cloud • My questions to you and discussion Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com 2
  • 3. Data architect Ronald is a data architect, who “provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements, and aligns with enterprise strategy and related business architecture.” Ronald has been working for The Dutch Ministry of Infrastructure and Waterstaat, Waternet (the water company of the Amsterdam), the Royal Library of The Netherlands as data architect. Ronald sees clouds too! 3 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 4. The promise of Building Information Management A single collaborative, online, project model (3D models, asset data, documentation, geo data) with construction sequencing (4D), cost (5D) and project lifecycle information (6D). Integrated BIM is intended to deliver better business outcomes. Berlin, 19 October 2018Data Innovations and Cloud 4
  • 5. Innovation and Collaboration in Infrastructure • Stages of constructions: 1. as required – 2. as designed – 3. as built – 4. as maintained • Many parties involved: owner – contractors – suppliers – regulators - investors • Many Systems: 3D CAD - Enterprise Asset Management – GIS – Finances – HR - … • Many Processes: people – systems – data • Digital Twins: digital copy of physical assets – 3D, Data, Specs, Geo, Documentation, Sensory • 3D, 4D, 5D, 6D BIM calculations - scenarios – planning – investments – optimisations 5 proces Data Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 6. Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com Going all digital 19 October 2018 6 It is not ‘a bit’ or ‘a lot’ digitally available for the BIM processes to work Only all digital fulfills the promise That is a challenge!
  • 7. BIM and the need for semantics and cloud Businesses and government agencies who plan, design, construct, operate and maintain buildings and physical infrastructure (such as water, roads, electricity, bridges) are turning to BIM to make their processes much more efficient. They are increasingly using semantic modelling and cloud to speed up their innovations. 7 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 8. Semantic Modelling • Semantic modelling enables integrating diverse information resources and analysing them in a way that preserves their meaning. • Traditional data management techniques do not meet the demands of complex, agile data integration, especially when Web resources are involved. • Semantic modelling based on Linked Data can link internal and external data sources to get deep insights without the need to recreate these external data sources. 8 System and process independent Human and machine readable Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 9. Demonstration Semantic Data Model 9 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 10. Move to the cloud? • Collaboration between owner and multiple contractors, suppliers, using different systems, from several locations. • Lots of data. Can it be done? • Data are described independent of systems and processes and data can be accessed, including documents, drawings, data sets, etc. So there is a good chance! 10 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 11. Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com Building world not the most ‘modern’ But that is changing, call for action: • Maturity • TCO • Agility • Innovative • Capacity • Investments • Consolidation • Connectivity • Redesign 19 October 2018 11
  • 12. Building world has started to move! Berlin, 19 October 2018Data Innovations and Cloud 12 The big enabler is semantic modelling Data structures are clearly defined Open Standards can be used by all There is a lot at stake
  • 13. BIM cloud developments • Now • Data transfer – own storage, on premise computing • Soon • Data sharing – storage as a service, on premise computing • Later • Application – platform and software as a service, cloud computing Because the data can be semantically described, it is easy to move data and computing seamlessly around between different systems and processes 13 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 14. 14 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 15. What cloud? • Network • Infrastructure as a service • Storage • Storage as a service • File sharing, data warehouse, data lake, backup, archiving • Compute • Platform as a service • Software as a service • Hybrid cloud • Inside out/ Outside in • Multiple vendors / Multiple solutions 15 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 16. Start with an end in mind 16 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 17. 17 security sensitive data regulatory control performance costs For any application you are unwilling to move to the cloud, what is the reason? Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 18. Is cloud cheaper? • Most organizations expect cloud to be cheaper • How do you make sure you get cost benefits? 18 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 19. Centralise or Decentralise? • Is cloud going to enable centralisation and decentralisation? • Do we need/want decentralisation? 19 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 20. Edge computing • Build a decentralized and distributed architecture by placing more analytics at the edge, rather than only in a central platform. • Less data back and forth • Less stress on the infrastructure • No single point of failure • Hyper personalised experiences and Internet of Things (IoT) • Centralised clouds – Edge clouds – Edge nodes • a.k.a. fog computing 20 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 21. Hybrid cloud • Risk mitigation • Reducing lock-in • Redundancy (business continuity/disaster recovery) • Portability • Agility • Opportunistic use-case placement • Cloud provider innovation • Different teams selecting different cloud providers • Mergers and acquisitions 21 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 22. 22Hybrid IT • Hybrid IT has become the standard, as organisations deploy more and more cloud services, while also maintaining traditional on-premises environments. • Success will require managing integrations and operation’s tasks (such as provisioning and monitoring) • Worth the extra effort: • Increased agility • Best solution for applications • Less vendor lock-in • Embrace Hybrid IT, it is already here and Hybrid IT is fundamentally good IT practice Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 23. What do you need when moving to the cloud? People • Talent: 10% • Culture: 47% • Resources: 27% • Rest: 16% 23 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 24. Essentials for the perfect cloud experience • All digital • at least what is within scope • Semantic model • save yourself • Exit strategy • because even good things come to an end and there is always something better around the corner • Think Hybrid • more effort, but more agility, better solutions and less risk 24 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com
  • 25. Thank you! Any Questions? Ronald Baan Data for a Change ronald@dataforachange.com www.linkedin.com/in/ronaldbaan 25 Berlin, 19 October 2018Data Innovations and Cloud – Ronald Baan – dataforachange.com