Finding the necessary skills to help you on your big data
journey can be a challenge. You need
people to help you setup your technological environment and then people to help
you use and maintain that environment.
For help with implementing your big data technology you can just turn to
the vendor. They will undoubtedly offer
services to install and configure the products because that is one way they
make money. Where you will struggle is
finding people to help you use that technology in your organisation,
specifically with the interpretation of the data. These people are commonly referred to as data
scientists although they can have other titles (IT industry loves creating
titles). Data scientists are typically
masters and phd graduates in statistics or data science and are hard to find in
large numbers. McKinsey estimates that
the U.S alone faces a shortage of up to 190 000 people with such
skills. So if you can’t find any of these
data scientists to employ what can you do?
Well you can make them. If you
have an analytics department it is possible that you have employees that have
the aptitude for data science. You can
send them on a few courses or even an entire degree to learn the necessary
skills. It may be slower that employing
someone directly but it will pay off as you are will have someone who already knows
the business and will have a good idea how big data can be leveraged. Another option is to create a team with data
science capabilities. You do not necessarily
need to employ one person with all the skills, you can employ a team of people
who collectively have the necessary skills such as statistics, business domain
knowledge, business analysis and so on.
There are ways around this skills shortage, you just need to get creative.
Perhaps Issue of implementation seems to be bugger than finding data science skills. How many organization's have an analytics department? Are those department contributing promise of analytics? Top management needs to understand the value they can get out of analytics
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