More data has been created in past few years than in entire
history of humankind, leading to an unprecedented digital data explosion
worldwide. Many of the bigger companies have already invested in or are in the
process of investing in the harnessing of this big data. However, today,
companies are finding it increasingly difficult to turn all that data collected
into valuable and useful information that will aid them.
A key obstacle is the lack of people with the right analytics
skills. To leverage big data, companies will have to overcome the skill gap
existing in today’s talent market. This requires not just investment, but also
co-operation and communication between various players in the big data field.
You need to take steps to make sure the boundaries of your businesses aren’t
limited by the widening gap in data skills.
When assessing today's widening skills gap, it all comes down to
the equation between basic supply and demand. Some of the ways by which
businesses can help in closing the skills gap are-
·
The collaborative
partnership between companies and universities is increasingly becoming pertinent in the
current scenario. Offer to partner with colleges and work with their students
to help them learn about the challenges in the field of data analytics.
·
You might already
have people on your team who have the skills for big data analytics. Keep your
eyes open for people who have an understanding or affinity for analyzing data
results, and encourage employees who are interested in big data.
·
Invest in
automation and new technologies might cost initially, but ensuring the of
availability best technology to hire and train staff will serve you in the long
haul. Companies should also automate most of their routine processes in data
analytics to save money and effort.
·
You should offer
salaries that are competitive with what they can command in other sectors. The
widening gap can also be attributed to the unwillingness of employers to pay
attractive price for the skills they require.
·
The business
ecosystem concept is gaining renewed attention in the age of data explosion.
Co-operation and co-ordination with other players in the business ecosystems
can be used to facilitate innovation, and to solve wider problems in the field
of big data analytics.
Big
Data is big news. It is the next big thing that is set to revolutionize the way
you approach and conduct business. The biggest challenge facing most
organizations with big data initiatives is the skills gap. At this juncture,
most businesses would probably benefit by combining several of the above
approaches to solve the data skills gap. The aim of every organization should
be to facilitate a fully functioning analytics program in place. By being
foresighted in your policies, persistent in your approach and sensitive to the
demands of the labour market, you can definitely succeed in finding the right
mix of people for your data analytics team.
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