Since data science and big data are dynamic, fast-paced domains that are constantly evolving, the year 2015 has some goodies up its back as well as some dampeners.
There are quite a handful of things expected this year, with one of them being Hadoop getting translated into more production uses as companies look to utilize dark data sitting inside Hadoop systems that have already been used to derive values. There will be some unique apps that will be specialists in specific uses. Markets are going to be savvy about data transformation, horizontal analytical platforms enabling, features creation, operationalization, and model development. And as a result, the rush for hiring data scientists is going to continue.
Big data technologies will be broadening their horizons, and data science innovations will be dazzling board rooms and campuses alike. As businesses, educational institutes, as well as philanthropists acknowledge the importance of big data and data science in producing valuable insights in every domain, data literacy will be given ample focus to produce qualified professionals who can process insane amounts on data for the betterment of profit-based organizations as well philanthropic avenues like disaster relief. Clearly, data science courses are going to be much sought after.
Enterprises across domains like healthcare, energy, heavy industry, and education will realize the need of sharing data sources and are likely to lower their shields to bring together data assets and facilitate meaningful insights that will benefit the industry as a whole. Open data will be the new powerhouse.
As far as big data is concerned, it is common perception that any data is good as long it is huge. But there will be a conscious shift across industries where the game will now be data that’s connected to value. However, ethical data harnessing may be shamed by some who are not prepared to use the proper safeguards associated with utilizing data science and may end up losing in front of competitors who have thoughtful technical mechanisms in place.
Data scientists in 2015 are likely to see their skills more valuable than ever. For instance, this year may see companies transferring the key to the lockers for IT related purchases from chief information officers to chief data scientists. Moreover, there are expected to be in-house data scientists for individual departments rather than data scientists cloistering together in a separate department.
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