Organizations
across the world are struggling to develop the proficiency to aggregate,
analyze, and make the available data valuable. With the volume and variety of
data we have today, the shift from achieving new insights to making a strong impact
on businesses has become more important than ever. The most effective data-driven
organizations today are honing their skills to quickly utilize and make
meaningful use of this big data to find the most effective and best actions or
outcomes.
Big data analytics and business intelligence help organizations discover the power
within their data assets and create better ways to meet critical objectives.
These include reducing costs, satisfying customer base, expanding market
presence in different geographies, and using data to drive innovation and
optimizing business decisions.
Business
intelligence is referred to analyzing an organization’s raw data through a
variety of software applications. As an independent discipline, it involves
several data related activities such as data mining, online analytical
processing, querying and reporting. It also helps in giving insights on
historical trends and current business performance. The best BI applications provide easy access
to business users to allow them to quickly gain business insights.
Whereas,
data analytics is a step forward, it not only just gives useful insights but
also helps in creating business impact. Predictive
data analytics gives organizations future business models and algorithms that
enable them to not only predict the most likely outcome, but the possible
solutions. This methodology or system
enables organization to standardize and automate the whole process so that
decision-making is not based on gut feeling but rather on fact based data.
Thus,
business intelligence is an umbrella term which comprises big data and
predictive analytics. Organizations are realizing the potential of BI, analytics,
and big data to deliver value to business users by providing quality, interactive,
and user-friendly applications.
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