Disruptive innovations are usually identified as ideas that are created
‘outside the box’. They are expected to fundamentally change existing
business models and processes founded on technological applications.
Disruptive innovations can be challenging to define. Information
technology (IT) solutions focus on collecting, processing, and reporting
different types of data. Commonly, is the solutions are expected (in
cybernetics or self-regulating processes) to provide feedback to
original processes and to steer them based on the data. To achieve
continuous improvement with regard to environmental responsibility and
profitability, new thinking and, in particular, accurate and reliable
data are needed for decision-making. Very large data storages, known as
big data, contain an increasing mass of different types of homogenous
and non-homogenous information, as well as extensive time-series. New,
innovative algorithms are required to reveal relevant information and
opportunities hidden in these data storages. Global environmental
challenges and zero-emission responsible production issues can only be
solved using relevant and reliable continuous data as the basis. The
final goal should be the creation of scalable environmental solutions
based on disruptive innovations and accurate data. The aim of this paper
is to determine the explicit steps for replacing silo-based reporting
with company-wide, refined information, which enables decision-makers in
all industries the chance to make responsible choices.