Need for Dark data in analytics strategiesBy CIOAdvisor Apac
Dark data, in an organization, is the digital information that is not being used. It is the material that the organization collects stores and processes during operations but does not use for any purposes. Organizations leave the data dark for many practical reasons. They can use the unused data for compliance or legal discovery purposes.
Nowadays, dark data is being associated with big data and operational data as server log files which provide clues to website visitor behavior, customer call detail records which incorporate unstructured consumer sentiment data, and mobile geolocation data which reveal traffic patterns which help with business planning. Following are some of the ways dark data is changing data analytics strategies:
Helps scientific research with historical data: Public databases keep data which are the part of publicly funded research even for decades. Scientists use this kind of data in the researches as related to ocean or climate changes. Dark data motivates this kind of researches to be proceeding.
Creates more uses for innovative technologies: Data virtualization is a process that connects an organization’s all data sources and presents them in a unified dashboard and allows people to see the compiled material in real time. Product representatives believe their data visualization solutions bring visibility to dark data.
Enables establishments to know more about people: Dark data gives hope to the healthcare industry that it can analyze population groups. The previously unused data helps to make predictions about future needs and illness trends which affect individuals’ interactions with health professionals. Also, helps local health departments in understanding the situations regarding people health.
Makes businesses consider how dark data fits into GDPR regulations: Some organizations have dark data more than half of their whole data sets. There remains the possibility of data breaching. Business representatives increase the risks for GDPR (General Data Protection Regulation) fines by not paying attention to dark data.
Dark data has the potential to be used to drive new revenue sources, eliminate wastes and reduce costs. Organizations should start to pay attention to their dark data for regulatory compliance purposes and map the data in possible business uses.