Why Data is Important in Decision Making?
Data are characteristics or information, usually numerical, that are collected through
observation. In
a
more
technical
sense,
data
are
a
set
of
values
of qualitative or quantitative variables about one or more persons or objects, while
a datum (singular of data) is a single value of a single variable. Although the terms "data" and
"information" are often used interchangeably, these terms have distinct meanings. In some popular
publications, data are sometimes said to be transformed into information when they are viewed in
context or in post-analysis. In academic treatments of the subject, however, data are simply units
of information. Data are employed in scientific research, businesses management (e.g., sales data,
revenue, profits, stock price), finance, governance (e.g., crime rates, unemployment
rates, literacy rates), and in virtually every other form of human organizational activity (e.g.,
censuses of the number of homeless people by non-profit organizations). In accounting, data is all
the information and data contained in journals, ledgers and other records that support financial
statements, e.g. spreadsheets. It may be in computer readable form or on paper.
Data is important in every organization because it allows organizations to more effectively
determine the cause of problems. Data allows organizations to visualize relationships between
what is happening in different locations, departments, and systems. The importance of data in
decision lies in consistency and continual growth. It enables companies to create new business
opportunities, generate more revenue, predict future trends, optimize current operational efforts,
and produce actionable insights. That way, you stand to grow and evolve your empire over time,
making your organization more adaptable as a result. The digital world is in a constant state of
flux, and to move with the ever-changing landscape around you, you must leverage data to make
more informed and powerful data driven business decisions. The amount of information collected
has never been greater, but it’s also more complex. This makes it difficult for organizations to
manage and analyze their data. In pursuit to be data-driven, many enterprises are developing three
core capabilities: data proficiency, analytics agility, and community. Transforming how your
company makes decisions is no easy task, but incorporating data and analytics into decisionmaking cycles is how you will see the most transformative impact on your organization. This level
of transformation requires a dedicated approach to developing and refining your analytics program.
Data makes the world go round. Or at least if it doesn’t, whatever does make the world go
round can be captured, quantified and analysed to find out how we can make it go faster. Data
applies to everything, and everything creates data. It’s a simple rule that can benefit businesses
enormously. By and large businesses love data. Whatever the size and remit of your organisation,
you can use data to make every kind of decision, whether it be product development, advertising
strategy or hiring personnel. In fact you’ll probably use it to find out how effective your business
is as a whole; how much you’re selling and what makes you lost more money.