Big data and analytics has a big role to play in every
business these days. ‘Big’ data doesn’t refer to the data itself; it refers to
the capabilities, competencies, and challenges associated with processing and
analyzing data. The big data technology aims to support decision-making by
transforming the businesses into a big- data- driven organization.
To actually understand the advantages and potential of big
data technology and big data solutions, it becomes imperative to know the
source of data. Big data and analytics can be leveraged by the companies only
with the right ways and a level of expertise. The information that is produced
can be subdivided into 6 categories- Search information, web mining,
crowdsourcing, social media websites, mobile and transactional data.
But at the same time, for marketers, 3 types of datasets
which are a big deal includes-
- Operational- This category revolves around the objective metrics capable of measuring the quality of numerous marketing processes including resource allocation, budgetary controls, marketing operations and asset management, among others.
- Customer- Including behavioral, transactional and attitudinal metrics, customer data is extracted from myriad sources such as websites, customer surveys, loyalty programs, and social media sites, the point of sale, marketing campaigns and websites.
- 3 Financial- Including profits, revenue and sales, financial metrics measure the organization’s financial health.
Among big data solutions, one of the applications that is
being widely used in today’s scenario is real-time marketing. It has now
progressed from a usual social media tactic to the ‘Omni -channel’ strategy.
Real-time is undoubtedly all about the ability to connect and interact with
customers at the very moment of interaction or engagement. Companies can
certainly leverage big data and analytics- with a proper mix of expertise and
IQ.
In order to leverage big data technology and reap benefits
form it, here’s how marketers can take into consideration while integrating big
data models into their business strategies-
- Using advanced analytics for valuable insights- This technology offers marketers the opportunity to process and analyze data by digging deeper into all the datasets and information. The insights extracted from initial analysis can later be explored for even richer insights.
- · Try to share the insights as much as you can- Data and insights confined to the board room or IT can never do well for marketers. It should be shared with almost everyone who can act on it.
- Take new objectives- But one at a time. - Big data solutions can seem overwhelming in the beginning but marketers should start the analysis by aiming at few primary objectives first. Once initial analysis is done, it becomes important for the marketers to think about improvements and the next step.
"It is an evolution in itself and informative as a thing like BIG DATA is gaining importance in marketing. AND no doubt people are using it. History is inevitable.
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