There is no doubt that data is the
basis for the success of any company's operation these days. However, the
ways of analyzing the data and using it to make decisions can be
different. That's where Business Intelligence and Business Analytics come
in.
It is common to see these two terms
being used interchangeably, however, there are some fundamental differences
between them. Both strategies are essential for organizations that want to
extract true value from data, so it is important to understand what are the
factors that differentiate them in order to choose the appropriate tools and
talents for each situation.
Below, we'll give you a summary of
what Business Intelligence is and what Business Analytics is, as well as
pointing out the fundamental differences between the two and how you can use
each for complete data analysis. Follow up!
What is Business Intelligence?
Business Intelligence (BI) is
exactly what the name says: the use of data to make smart business
decisions. BI collects, mines and interprets data to extract useful
insights into where the business is currently going. Given the high volume
of data that we currently see, BI takes the form of automatic tools that allow
us to find those that are actually relevant to each situation and case.
Contrary to what some people think,
you don't need to be a data scientist to deal with Business Intelligence in a
company. However, it is currently possible to rely on tools that make the
process intuitive even for those professionals who have little or no specific
technical knowledge of data analysis (such as Power BI, within the Power
Platform).
This type of tool uses Artificial
Intelligence and algorithms to do the heavy lifting and present data to
professionals in a simple and intelligible way. The programs analyze the
collected data, interpret data patterns, and then effectively communicate to
practitioners (usually through a simple-to-interpret dashboard) how to turn the
insights into action.
What is Business Analytics?
Business Analytics (BA), meanwhile,
is vital to utilizing data analytics to its full potential. While BI looks
to data to make decisions in the present, BA works with data to predict future
patterns and trends. This makes this strategy a great solution for companies
looking to change business models in the future and decide the best paths in
the medium to long term.
It can be used to strategize,
recognize sales and market opportunities, improve customer relationships,
better pinpoint potential risks, and mitigate threats based on an analysis of
why things happened in the past and whether they show signs of repeat in the
future.
The benefits of Business Analytics
include the ability to extract data, statistically analyze events, and, because
they occurred, test past decisions and make predictive predictions. The
predictive models provided by BA make it easy for organizations to create
strategies without having to react to industry changes; rather, they can
proactively work on cumulative data that determine future outcomes.
Business Intelligence
vs. Business Analytics
As noted above, there are several
key differences between Business Intelligence and Business
Analytics. Managers and leaders must consider these differences when
deciding when to invest in each of these strategies.
The size of an organization, for
example, can determine whether business intelligence or analytical tools are
employed. Traditionally marketed to larger companies, BI tools have been
popularized and can be used in smaller companies as well.
Also, as we said, they can be used
by employees with little experience in data science, but who want to use
corporate data to improve their functioning or plan for the future.
The age of an organization can also
influence the decision to use BI or BA tools. If a company is brand new or
has recently undergone major changes, predictions about future business trends
through BA can be the most helpful.
Business Intelligence can be useful
for leaders who are generally satisfied with business activities but want to identify
"pain points" in the workflow, and increase efficiency, streamline
processes, or achieve a specific goal. But for those looking to change
their business model or core functioning within an organization, Business
Analytics can provide more useful information.
However, most organizations will
generally want some combination of the two when possible, as most organizations
want tools that can help with both current operations and predictive planning.