Data is becoming so big that we should probably start calling it huge.
The amount of worldwide data storage in now measured in the zettabytes (check out our previous blog on data becoming the new universal language); where for all of us data nerds in the world, a zettabyte is equal to a trillion gigabytes. That is an awful lot of collected data, and it is only projected to increase further as new research technologies emerge and current methods get innovated.
One of the key areas that this emergence of data as the new universal language emphasizes is the substantial need to take an absurd amount of collected data, transform it in meaningful and relevant ways, and develop advanced processes to draw actionable business value out of it.
As Todd Park was once quoted as saying: "Data by itself is useless. Data is only useful if you apply it."
Unfortunately, to "apply" data and thus make it beneficial to the organizations that can tap into it's tremendous potential; there is quite a varied and sometimes challenging technical (as well as creative in terms of problem solving) landscape that must be traversed in order to make this vast amount of data actionable, meaningful, and relevant to its key stakeholders.
To traverse this varied, sometimes challenging technical and creative data analytics landscape; the necessary personnel needs to be adequately equipped with the right mix of education, experience, as well as technical and interpersonal skills to contribute to driving the analytics team forward. This is the foundation for accomplishing analytics goals which are (or at least should be) closely aligned with business strategies and vision.
As more and more companies seek to unlock the tremendous potential in analyzing their collected and purchased data, there is a subsequent need to invest in the personnel that will be able to catalyze this.
The ever-growing demand for highly skilled data analytics professionals has outpaced the supply of such data analytics professionals by quite a large margin, resulting in a major talent gap in data analytics overall.
This phenomenon, "The Talent Gap in Data Analytics," is presented in depth in the below infographic.
It comes to us courtesy of Villanova University's Online Master of Science in Analytics degree program. If you have a minute, please check out their link below the infographic.
One of the brilliant aspects of this infographic is that it visually addresses one of the most compelling staffing phenomena in data analytics today; describing the talent gap all major companies are now facing in detail.
This includes outlining the specific careers and skills which are in white hot demand in a wide range of different industries, introducing and illustrating the role that big data plays in expanding the talent gap in data analytics, and finally presenting best practices for recruiting data scientists, which as you have probably already heard, are the sexiest professions of the 21st century (according to HBR).
So, it not only describes an incredibly important issue in data analytics today, which is the data analytics talent gap; but also gives specific ways to help close this gap.
This makes this infographic a win-win in terms of a resource for any analytics leader who will - or already has - run into this issue within their team or company.
Please check out the entire infographic, as well as Villanova's website listed below the infographic if you have a free minute. They are doing some pretty cool things in the field of analytics, including developing this rad infographic.
All the best,
The Chicago Analytics Group
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