SlideShare uma empresa Scribd logo
1 de 16
Baixar para ler offline
R.D.Damhof - 2014
The Data Quadrant: A managerial perspective on automation
By Ronald Damhof
Email: 	

 ronald.Damhof@prudenza.nl	

Linkedin: 	

 nl.linkedin.com/in/ronalddamhof/	

Twitter: 	

 RonaldDamhof	

Blog: 	

 prudenza.typepad.com
R.D.Damhof - 2014
Logistics and manufacturing
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
Push/Pull Point
Push/Supply/Source driven Pull/Demand/Product driven
▪ All facts, fully temporal	

▪ Mass deployment	

▪ Control > Agility	

▪ Repeatable & predictable processes	

▪ Standardised processes	

▪ High level of automation	

▪ Declarative > Procedural	

▪ Model driven/Meta data Driven	

▪ Relatively high IT/Data expertise
▪ Truth, Interpretation, Context	

▪ Piece deployment	

▪ Agility > Control	

▪ User-friendliness	

▪ Relatively low IT expertise	

▪ Higher level of procedural deployment	

▪ Domain expertise essential
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
Development Style
Systematic
Opportunistic
• User and developer are separated	

• Defensive Governance; focus on control and compliance	

• Strong focus on non-functionals; auditability, robustness, traceability, ….	

• Centralised and organisation-wide information domain	

• Configured and controlled deployment environment (dev/tst/acc/prod)
• User and developer are one / closely related	

• Offensive governance; focus on adaptability & agility	

• Decentralized & personal/workgroup/department/theme information domain	

• All deployment is done in production
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
Development Style
Systematic
Opportunistic
I II
III IV
Research,	

Innovation & 

Design
Facts Context
“Shadow IT,	

Incubation,	

Ad-hoc,	

Once off”
Push/Supply/Source driven Pull/Demand/Product driven
Push/Pull Point
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
7 applications of the model…
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
How we produce…
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
How we Organize…
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
How we can govern…
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
How do people excel…
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
How we do projects…
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
How we use technology…
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
How we model….
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
Oh…about the money
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
What about the 	

“Data Warehouse”?

Mais conteúdo relacionado

Semelhante a Keynote 22 mei 2014 - dwh automation - 4 Quadrant

From Data to Data Driven - Applications that will change your business
From Data to Data Driven - Applications that will change your businessFrom Data to Data Driven - Applications that will change your business
From Data to Data Driven - Applications that will change your business
NG DATA
 
RHT Enterprise Technology Services Overview-FINAL
RHT Enterprise Technology Services Overview-FINALRHT Enterprise Technology Services Overview-FINAL
RHT Enterprise Technology Services Overview-FINAL
James Settlemire
 
RHT Enterprise Technology Services Overview
RHT Enterprise Technology Services OverviewRHT Enterprise Technology Services Overview
RHT Enterprise Technology Services Overview
Jeremy Brookshire
 
Mastering AI Integration & Innovation Unlocking Enterprise Success
Mastering AI Integration & Innovation Unlocking Enterprise SuccessMastering AI Integration & Innovation Unlocking Enterprise Success
Mastering AI Integration & Innovation Unlocking Enterprise Success
Alexander Hendorf
 
Sidewalk seminar
Sidewalk seminarSidewalk seminar
Sidewalk seminar
SidewalkBE
 
CV2 Khabir Ahmad Raja
CV2 Khabir Ahmad RajaCV2 Khabir Ahmad Raja
CV2 Khabir Ahmad Raja
Raja Ahmad
 
HDFS & MapReduce
HDFS & MapReduceHDFS & MapReduce
HDFS & MapReduce
Skillspeed
 

Semelhante a Keynote 22 mei 2014 - dwh automation - 4 Quadrant (20)

From Data to Data Driven - Applications that will change your business
From Data to Data Driven - Applications that will change your businessFrom Data to Data Driven - Applications that will change your business
From Data to Data Driven - Applications that will change your business
 
RHT Enterprise Technology Services Overview-FINAL
RHT Enterprise Technology Services Overview-FINALRHT Enterprise Technology Services Overview-FINAL
RHT Enterprise Technology Services Overview-FINAL
 
RHT Enterprise Technology Services Overview
RHT Enterprise Technology Services OverviewRHT Enterprise Technology Services Overview
RHT Enterprise Technology Services Overview
 
All stakeholders count but the Product Manager should decide by Hadas Sheinfl...
All stakeholders count but the Product Manager should decide by Hadas Sheinfl...All stakeholders count but the Product Manager should decide by Hadas Sheinfl...
All stakeholders count but the Product Manager should decide by Hadas Sheinfl...
 
CV DvdPloeg en
CV DvdPloeg enCV DvdPloeg en
CV DvdPloeg en
 
Customer Event Hub - the modern Customer 360° view
Customer Event Hub - the modern Customer 360° viewCustomer Event Hub - the modern Customer 360° view
Customer Event Hub - the modern Customer 360° view
 
Nvent Enabling The Data Driven Enterprise
Nvent Enabling The Data Driven EnterpriseNvent Enabling The Data Driven Enterprise
Nvent Enabling The Data Driven Enterprise
 
Mastering AI Integration & Innovation Unlocking Enterprise Success
Mastering AI Integration & Innovation Unlocking Enterprise SuccessMastering AI Integration & Innovation Unlocking Enterprise Success
Mastering AI Integration & Innovation Unlocking Enterprise Success
 
SCM-APO-PP/DS-Production Planning and Detailed Scheduling
SCM-APO-PP/DS-Production Planning and Detailed SchedulingSCM-APO-PP/DS-Production Planning and Detailed Scheduling
SCM-APO-PP/DS-Production Planning and Detailed Scheduling
 
Level Up – How to Achieve Hadoop Acceleration
Level Up – How to Achieve Hadoop AccelerationLevel Up – How to Achieve Hadoop Acceleration
Level Up – How to Achieve Hadoop Acceleration
 
Operationalizing Data Analytics
Operationalizing Data AnalyticsOperationalizing Data Analytics
Operationalizing Data Analytics
 
Organising the Data Lake - Information Management in a Big Data World
Organising the Data Lake - Information Management in a Big Data WorldOrganising the Data Lake - Information Management in a Big Data World
Organising the Data Lake - Information Management in a Big Data World
 
Hanontwerper
HanontwerperHanontwerper
Hanontwerper
 
Sidewalk seminar
Sidewalk seminarSidewalk seminar
Sidewalk seminar
 
Sidewalk - Context & Personalization seminar
Sidewalk - Context & Personalization seminarSidewalk - Context & Personalization seminar
Sidewalk - Context & Personalization seminar
 
Hadoop and the Future of SQL: Using BI Tools with Big Data
Hadoop and the Future of SQL: Using BI Tools with Big DataHadoop and the Future of SQL: Using BI Tools with Big Data
Hadoop and the Future of SQL: Using BI Tools with Big Data
 
The Hadoop Guarantee: Keeping Analytics Running On Time
The Hadoop Guarantee: Keeping Analytics Running On TimeThe Hadoop Guarantee: Keeping Analytics Running On Time
The Hadoop Guarantee: Keeping Analytics Running On Time
 
modern security risks for big data and mobile applications
modern security risks for big data and mobile applicationsmodern security risks for big data and mobile applications
modern security risks for big data and mobile applications
 
CV2 Khabir Ahmad Raja
CV2 Khabir Ahmad RajaCV2 Khabir Ahmad Raja
CV2 Khabir Ahmad Raja
 
HDFS & MapReduce
HDFS & MapReduceHDFS & MapReduce
HDFS & MapReduce
 

Mais de Prudenza B.V

FB 24-31 Ronald Damhof_FR
FB 24-31 Ronald Damhof_FRFB 24-31 Ronald Damhof_FR
FB 24-31 Ronald Damhof_FR
Prudenza B.V
 
FB 24-31 Ronald Damhof
FB 24-31 Ronald Damhof FB 24-31 Ronald Damhof
FB 24-31 Ronald Damhof
Prudenza B.V
 
FB_24-31_Ronald Damhof
FB_24-31_Ronald DamhofFB_24-31_Ronald Damhof
FB_24-31_Ronald Damhof
Prudenza B.V
 

Mais de Prudenza B.V (11)

[Dutch] Data: Van Innovatie naar Waarde
[Dutch] Data: Van Innovatie naar Waarde[Dutch] Data: Van Innovatie naar Waarde
[Dutch] Data: Van Innovatie naar Waarde
 
FB 24-31 Ronald Damhof_FR
FB 24-31 Ronald Damhof_FRFB 24-31 Ronald Damhof_FR
FB 24-31 Ronald Damhof_FR
 
FB 24-31 Ronald Damhof
FB 24-31 Ronald Damhof FB 24-31 Ronald Damhof
FB 24-31 Ronald Damhof
 
FB_24-31_Ronald Damhof
FB_24-31_Ronald DamhofFB_24-31_Ronald Damhof
FB_24-31_Ronald Damhof
 
20130527 jill dyche - im ronald [Dutch]
20130527   jill dyche - im ronald [Dutch]20130527   jill dyche - im ronald [Dutch]
20130527 jill dyche - im ronald [Dutch]
 
20130527 jill dyche - im ronald
20130527   jill dyche - im ronald20130527   jill dyche - im ronald
20130527 jill dyche - im ronald
 
Tdwi agile data warehouse - dv, what is the buzz about
Tdwi   agile data warehouse - dv, what is the buzz aboutTdwi   agile data warehouse - dv, what is the buzz about
Tdwi agile data warehouse - dv, what is the buzz about
 
[Dutch] Data Health Care: hoe je data in goede gezondheid te krijgen
[Dutch] Data Health Care: hoe je data in goede gezondheid te krijgen[Dutch] Data Health Care: hoe je data in goede gezondheid te krijgen
[Dutch] Data Health Care: hoe je data in goede gezondheid te krijgen
 
[Dutch] Analytics is waarde-loos
[Dutch] Analytics is waarde-loos[Dutch] Analytics is waarde-loos
[Dutch] Analytics is waarde-loos
 
Data Vault automation conference - all presentations
Data Vault automation conference - all presentationsData Vault automation conference - all presentations
Data Vault automation conference - all presentations
 
Keynote Ronald Damhof Data Vault Automation
Keynote Ronald Damhof Data Vault Automation Keynote Ronald Damhof Data Vault Automation
Keynote Ronald Damhof Data Vault Automation
 

Último

Exploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptxExploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptx
DilipVasan
 
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
pyhepag
 
一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理
cyebo
 
一比一原版西悉尼大学毕业证成绩单如何办理
一比一原版西悉尼大学毕业证成绩单如何办理一比一原版西悉尼大学毕业证成绩单如何办理
一比一原版西悉尼大学毕业证成绩单如何办理
pyhepag
 
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotecAbortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Riyadh +966572737505 get cytotec
 
Machine Learning For Career Growth..pptx
Machine Learning For Career Growth..pptxMachine Learning For Career Growth..pptx
Machine Learning For Career Growth..pptx
benishzehra469
 
一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理
pyhepag
 

Último (20)

Exploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptxExploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptx
 
MALL CUSTOMER SEGMENTATION USING K-MEANS CLUSTERING.pptx
MALL CUSTOMER SEGMENTATION USING K-MEANS CLUSTERING.pptxMALL CUSTOMER SEGMENTATION USING K-MEANS CLUSTERING.pptx
MALL CUSTOMER SEGMENTATION USING K-MEANS CLUSTERING.pptx
 
Webinar One View, Multiple Systems No-Code Integration of Salesforce and ERPs
Webinar One View, Multiple Systems No-Code Integration of Salesforce and ERPsWebinar One View, Multiple Systems No-Code Integration of Salesforce and ERPs
Webinar One View, Multiple Systems No-Code Integration of Salesforce and ERPs
 
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
 
一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理
 
2024 Q2 Orange County (CA) Tableau User Group Meeting
2024 Q2 Orange County (CA) Tableau User Group Meeting2024 Q2 Orange County (CA) Tableau User Group Meeting
2024 Q2 Orange County (CA) Tableau User Group Meeting
 
一比一原版西悉尼大学毕业证成绩单如何办理
一比一原版西悉尼大学毕业证成绩单如何办理一比一原版西悉尼大学毕业证成绩单如何办理
一比一原版西悉尼大学毕业证成绩单如何办理
 
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotecAbortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
 
How I opened a fake bank account and didn't go to prison
How I opened a fake bank account and didn't go to prisonHow I opened a fake bank account and didn't go to prison
How I opened a fake bank account and didn't go to prison
 
Machine Learning for Accident Severity Prediction
Machine Learning for Accident Severity PredictionMachine Learning for Accident Severity Prediction
Machine Learning for Accident Severity Prediction
 
AI Imagen for data-storytelling Infographics.pdf
AI Imagen for data-storytelling Infographics.pdfAI Imagen for data-storytelling Infographics.pdf
AI Imagen for data-storytelling Infographics.pdf
 
2024 Q1 Tableau User Group Leader Quarterly Call
2024 Q1 Tableau User Group Leader Quarterly Call2024 Q1 Tableau User Group Leader Quarterly Call
2024 Q1 Tableau User Group Leader Quarterly Call
 
Slip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp ClaimsSlip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp Claims
 
Tabula.io Cheatsheet: automate your data workflows
Tabula.io Cheatsheet: automate your data workflowsTabula.io Cheatsheet: automate your data workflows
Tabula.io Cheatsheet: automate your data workflows
 
Machine Learning For Career Growth..pptx
Machine Learning For Career Growth..pptxMachine Learning For Career Growth..pptx
Machine Learning For Career Growth..pptx
 
Jpolillo Amazon PPC - Bid Optimization Sample
Jpolillo Amazon PPC - Bid Optimization SampleJpolillo Amazon PPC - Bid Optimization Sample
Jpolillo Amazon PPC - Bid Optimization Sample
 
一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理
 
Atlantic Grupa Case Study (Mintec Data AI)
Atlantic Grupa Case Study (Mintec Data AI)Atlantic Grupa Case Study (Mintec Data AI)
Atlantic Grupa Case Study (Mintec Data AI)
 
How can I successfully sell my pi coins in Philippines?
How can I successfully sell my pi coins in Philippines?How can I successfully sell my pi coins in Philippines?
How can I successfully sell my pi coins in Philippines?
 
Artificial_General_Intelligence__storm_gen_article.pdf
Artificial_General_Intelligence__storm_gen_article.pdfArtificial_General_Intelligence__storm_gen_article.pdf
Artificial_General_Intelligence__storm_gen_article.pdf
 

Keynote 22 mei 2014 - dwh automation - 4 Quadrant

  • 1. R.D.Damhof - 2014 The Data Quadrant: A managerial perspective on automation By Ronald Damhof Email: ronald.Damhof@prudenza.nl Linkedin: nl.linkedin.com/in/ronalddamhof/ Twitter: RonaldDamhof Blog: prudenza.typepad.com
  • 2. R.D.Damhof - 2014 Logistics and manufacturing
  • 3. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation
  • 4. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation Push/Pull Point Push/Supply/Source driven Pull/Demand/Product driven ▪ All facts, fully temporal ▪ Mass deployment ▪ Control > Agility ▪ Repeatable & predictable processes ▪ Standardised processes ▪ High level of automation ▪ Declarative > Procedural ▪ Model driven/Meta data Driven ▪ Relatively high IT/Data expertise ▪ Truth, Interpretation, Context ▪ Piece deployment ▪ Agility > Control ▪ User-friendliness ▪ Relatively low IT expertise ▪ Higher level of procedural deployment ▪ Domain expertise essential
  • 5. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation Development Style Systematic Opportunistic • User and developer are separated • Defensive Governance; focus on control and compliance • Strong focus on non-functionals; auditability, robustness, traceability, …. • Centralised and organisation-wide information domain • Configured and controlled deployment environment (dev/tst/acc/prod) • User and developer are one / closely related • Offensive governance; focus on adaptability & agility • Decentralized & personal/workgroup/department/theme information domain • All deployment is done in production
  • 6. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation Development Style Systematic Opportunistic I II III IV Research, Innovation & 
 Design Facts Context “Shadow IT, Incubation, Ad-hoc, Once off” Push/Supply/Source driven Pull/Demand/Product driven Push/Pull Point
  • 7. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation 7 applications of the model…
  • 8. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation How we produce…
  • 9. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation How we Organize…
  • 10. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation How we can govern…
  • 11. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation How do people excel…
  • 12. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation How we do projects…
  • 13. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation How we use technology…
  • 14. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation How we model….
  • 15. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation Oh…about the money
  • 16. R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - May 2014 - DWH Automation What about the “Data Warehouse”?