In: Accounting
One of the applications of Management Accounting is in short-term business decisions: Product Mix Decisions. Discuss how management accountant can use big data and data analytics in product related decisions.
with investment to develop its competitive
position. Striking this balance requires a keen
understanding of the drivers of cost, risk and
value in the business. Management needs better
information. Developments in the use of data are
revolutionising management, providing the insights
needed for better decision making and performance
management. Some early adopters in the use
of big data and advanced analytics have already
enhanced both their operational performance
and their competitive position.
Ensuring that data is harnessed to inform decisions
improves performance. Companies that have
embraced the opportunities offered by developments
in data are three times more likely to rate themselves
ahead of their peers in financial performance.1
For example, the Intercontinental Hotel Group
improved operational and strategic decision making.
Intercontinental built a data platform that makes
use of a wide range of both internal and external
data to improve operational reporting and customer
service. They are now better able to predict guests’
purchasing patterns and they can proactively
identify market trends to guide investment.2
Yet a survey of over 2,000 finance professionals
conducted by CIMA and the AICPA found that
86% of organisations are struggling to get valuable
insights from their data.3
Businesses and management accountants are always on the lookout for the next
big thing – and big data is already making big changes in many sectors.
Introduction
Ready for big data?
Nearly 9 in 10 organisations are
struggling to get valuable insight
from data
Management accountants have an important role
to play in ensuring business success in today’s
data-driven era. They also need to stay abreast of
developments to ensure continuing career success.
This briefing provides an overview of the
competencies businesses must develop, key roles
management accountants can play and the skills
they will need.
An SAS report,21 identified that in the UK the
uptake of big data analytics will more than double
in large organisations. The finance department is
the most likely after the IT department to be
responsible for big data activity. In many businesses,
finance and IT both report to the CFO or COO,
necessitating management accountants to be alert
to the potential in big data and the roles they could
play (see figure 2).
Management accountants are well positioned to
provide businesses with many of the competencies
they need to realise the potential in data. However, it
is as business partners that management accountants
have the most potential to help businesses make the
most of these developments.
Data scientist
Data scientists are needed to meet the challenges
of advanced data analytics. The shortage of data
scientists may seem like an attractive opportunity for
more quantitative management accountants. As the
leaders in the financial planning and analysis arena,
Big data is part of a wave of digital technology which has the potential to threaten
many highly skilled roles.19 For example, it has become easier and faster to identify
potential fraud or diagnose an illness without human input.
Management accountants: ready for
big data
management accountants are numerate. However,
to become data scientists they must be prepared
to invest in further education to complement
their accounting skill set with greater expertise in
advanced analytical techniques.
An important message for management accountants
is that they do not need to feel that the only way
to survive in a new era of digital data is to become
a data scientist. This is a highly specialised
and technical area that is not necessarily in the
management accounting space.
Data manager
Many management accountants maintain a good
understanding of their business’s information systems.
As trusted providers of accounting information,
they have the professional disciplines necessary to
ensure data quality. They can contribute structure
and credibility to data projects and they are often
best placed to articulate the needs of the business .
Businesses need to be forward-thinking and
innovative to ensure that they develop the
competencies necessary to exploit developments in
data for survival and success in the digital age.
Likewise, accountants in business must continually
develop their skill sets to remain relevant to employers’
needs. They must ensure that their continuing
professional development enables them to ride the new
wave of technology so that their professional skills are
recognised by employers and that they are engaged to
help their businesses to succeed.
Big data is a reality for many businesses around the world, but many more are not yet
making the most of their data.
Conclusion
CGMAs are well positioned to help ready businesses
to take advantage of developments in big data. As
finance business partners, they can work with IT
professionals, data scientists and business managers
to ensure data is used to inform decisions, improve
performance and help develop new business models
or strategies.