Big Data may introduce new opportunities, and for this
reason it has become a mantra among most industries. This paper focuses
on examining how to develop cost and sustainable reporting by utilizing
Big Data that covers economic values, production volumes, and emission
information. We assume strongly that this use supports cleaner
production, while at the same time offers more information for revenue
and profitability development. We argue that Big Data brings
company-wide business benefits if data queries and interfaces are built
to be interactive, intuitive, and user-friendly. The amount of
information related to operations, costs, emissions, and the supply
chain would increase enormously if Big Data was used in various
manufacturing industries. It is essential to expose the relevant
correlations between different attributes and data fields. Proper
algorithm design and programming are key to making the most of Big Data.
This paper introduces ideas on how to refine raw data into valuable
information, which can serve many types of end users, decision makers,
and even external auditors. Concrete examples are given through an
industrial paper mill case, which covers environmental aspects,
cost-efficiency management, and process design.