Table III Aspects of business processes... | Emerald Publishing

Table III

Aspects of business processes needing to be configured

Types of changes	Aspects of business processes needing to be reconfigured
Social changes	Higher levels of trust in the data required as data is provided by new stakeholders Higher levels of trust in the system is required (the decisions do not change unless the people making them change their way of thinking) Changing social dynamics in the organization as data analytics experts gain greater visibility and status New business culture from physical inspection to data-driven
People changes	New skills required, e.g. asset managers need to become more aware of the possibilities provided by data analysis, and data analysts need a greater understanding of business processes New ways of thinking required, as asset managers need to describe events in sensing terms in order to be able to link sensor data to events. What are critical variables and how can they be sensed? (the decisions do not change unless the people making them change their way of thinking) Critical view on the limitations of data
Organizational changes	Greater levels of automation means that new organizational structures and policies are required with regards to data governance Greater levels of data sharing and varying types of data usage mean that new forms of data governance need to developed in order to ensure accountability for compliancy regulations such as privacy and security
Business process changes	Greater levels of automation means that many operational decisions can be automated, Data need to be traced for its origin and quality (data provenance) People made decisions are lifted to more strategic level Data governance processes need to be (re)defined
Technical changes	Incorporation of new hardware and software requiring new protocols and routines for making use of them

Types of changes	Aspects of business processes needing to be reconfigured
Social changes	Higher levels of trust in the data required as data is provided by new stakeholdersHigher levels of trust in the system is required (the decisions do not change unless the people making them change their way of thinking)Changing social dynamics in the organization as data analytics experts gain greater visibility and status New business culture from physical inspection to data-driven
People changes	New skills required, e.g. asset managers need to become more aware of the possibilities provided by data analysis, and data analysts need a greater understanding of business processesNew ways of thinking required, as asset managers need to describe events in sensing terms in order to be able to link sensor data to events. What are critical variables and how can they be sensed? (the decisions do not change unless the people making them change their way of thinking)Critical view on the limitations of data
Organizational changes	Greater levels of automation means that new organizational structures and policies are required with regards to data governanceGreater levels of data sharing and varying types of data usage mean that new forms of data governance need to developed in order to ensure accountability for compliancy regulations such as privacy and security
Business process changes	Greater levels of automation means that many operational decisions can be automated, Data need to be traced for its origin and quality (data provenance)People made decisions are lifted to more strategic levelData governance processes need to be (re)defined
Technical changes	Incorporation of new hardware and software requiring new protocols and routines for making use of them