Table 3 Summary of findings on BD Case... | Emerald Publishing

Table 3

Summary of findings on BD

Case	Big data collection	Big data management	Big data use	Big data sharing
A1	Various Public/Private Sources, Enabled and Constrained by Law	Dedicated Business Areas for Preparation and Combination	Statistics, Constrained by Law	Information Sharing of aggregated statistical products. One-way Street
A2	Various Public/Private Sources, Enabled and Constrained by Law	Data Warehouse and Protection Support Function	Statistics, Constrained by Law	Information Sharing of aggregated statistical products. One-way Street
B1	Mostly internal sources	Central Unit with Data Warehouse	Service Delivery, Process Optimisation, Control	Information Transfer with municipal departments
B2	Various Public and Some Private Data Sources	Good Data Management	Service Delivery, Internal Process Improvement, Control	Information Transfer with municipal departments and other cities
C1	Various Sources from own Infrastructure	Full Cloud Infrastructure	Energy Demand Prediction	Information Sharing with other C-Group Organisations
C2	Various Sources from own Infrastructure	Decentralised with several Databases but push for Data Lake	Asset Optimisation, Failure Prediction	Information Sharing with other C-Group Organisations
D1	Mostly for Research	Highly Fragmented over Faculties	Research	Information Transfer for Research
D2	Not purpose of organisation, Constrained by Law	Provides support and coordination of educational IT infrastructure	Not purpose of organisation, Constrained by Law	Information Transfer
F1	Limited (only on project basis)	On project basis	Project Dependent but Sustainable Development	Information Transfer with Partner Countries
G1	Data from Municipalities, Some Private Sources	Metadata Management	Process Optimisation	Information Transfer
G2	Data from Municipalities, Some Private Sources	IT Department manages Information and Automation	Traffic Flow Optimisation, Nature Preservation	Information Transfer/Sharing depending on Project
G3	Data from Municipalities, Some Private Sources	Full Cloud Infrastructure	Data Enrichment, Sentiment Analysis, Social Benefit Monitoring	Information Transfer/Sharing depending on Project
H1	Various Public/Private Sources, Enabled and Constrained by Law	Internal Database and Shared Platforms for inter-organisational Collaboration	Crime Investigation, Constrained by Law (Use only for current investigation)	Information Sharing between Supply Chain Members. One-way Street
H2	Various Public/Private Sources, Enabled and Constrained by Law	Internal Database and Shared Platforms for inter-organisational Collaboration	Crime Investigation, Constrained by Law (Use only for current investigation)	Information Sharing between Supply Chain Members. One-way Street
K1	Various Sources by Operations	Highly Fragmented over public institutions and hospitals	Research, Process Optimisation, Service Delivery	Information Sharing via Third-Party Provider (no sharing between hospitals)
N1	Various Sources of Members	Decentralised but push for network of connected platforms and catalogues	Improved decision making and situational awareness, Predictive Maintenance	Information Transfer/Sharing depending on Project

Case	Big data collection	Big data management	Big data use	Big data sharing
A1	Various Public/Private Sources, Enabled and Constrained by Law	Dedicated Business Areas for Preparation and Combination	Statistics, Constrained by Law	Information Sharing of aggregated statistical products. One-way Street
A2	Various Public/Private Sources, Enabled and Constrained by Law	Data Warehouse and Protection Support Function	Statistics, Constrained by Law	Information Sharing of aggregated statistical products. One-way Street
B1	Mostly internal sources	Central Unit with Data Warehouse	Service Delivery, Process Optimisation, Control	Information Transfer with municipal departments
B2	Various Public and Some Private Data Sources	Good Data Management	Service Delivery, Internal Process Improvement, Control	Information Transfer with municipal departments and other cities
C1	Various Sources from own Infrastructure	Full Cloud Infrastructure	Energy Demand Prediction	Information Sharing with other C-Group Organisations
C2	Various Sources from own Infrastructure	Decentralised with several Databases but push for Data Lake	Asset Optimisation, Failure Prediction	Information Sharing with other C-Group Organisations
D1	Mostly for Research	Highly Fragmented over Faculties	Research	Information Transfer for Research
D2	Not purpose of organisation, Constrained by Law	Provides support and coordination of educational IT infrastructure	Not purpose of organisation, Constrained by Law	Information Transfer
F1	Limited (only on project basis)	On project basis	Project Dependent but Sustainable Development	Information Transfer with Partner Countries
G1	Data from Municipalities, Some Private Sources	Metadata Management	Process Optimisation	Information Transfer
G2	Data from Municipalities, Some Private Sources	IT Department manages Information and Automation	Traffic Flow Optimisation, Nature Preservation	Information Transfer/Sharing depending on Project
G3	Data from Municipalities, Some Private Sources	Full Cloud Infrastructure	Data Enrichment, Sentiment Analysis, Social Benefit Monitoring	Information Transfer/Sharing depending on Project
H1	Various Public/Private Sources, Enabled and Constrained by Law	Internal Database and Shared Platforms for inter-organisational Collaboration	Crime Investigation, Constrained by Law (Use only for current investigation)	Information Sharing between Supply Chain Members. One-way Street
H2	Various Public/Private Sources, Enabled and Constrained by Law	Internal Database and Shared Platforms for inter-organisational Collaboration	Crime Investigation, Constrained by Law (Use only for current investigation)	Information Sharing between Supply Chain Members. One-way Street
K1	Various Sources by Operations	Highly Fragmented over public institutions and hospitals	Research, Process Optimisation, Service Delivery	Information Sharing via Third-Party Provider (no sharing between hospitals)
N1	Various Sources of Members	Decentralised but push for network of connected platforms and catalogues	Improved decision making and situational awareness, Predictive Maintenance	Information Transfer/Sharing depending on Project