‘Big data’ is quickly evolving and changing the way we work. Let’s take a look at 3 major ‘big data’ trends which are shaping up to dominate 2016.
‘Big data’ should come into its own and start properly proving its worth as a useful and tangible business tool rather than just by-and-large acting as a buzzword bandied about during business conversations. Over the course of 2016, ‘big data’ should finally start wielding some weight across business sectors, providing forward thinking businesses a real edge over their competition. If firms can wrap their head around how to harness the secrets shrouded within their own data, they stand to make much more well-informed business decisions and more profit into the future.
We are seeing firms in the life-sciences sector ramp up their search for data analysis job candidates to help them map human genome data. Finance and technology businesses too, are using data to aid predictive customer/client analysis.
As ‘big data’ becomes better understood by businesses and begins firmly establishing itself as a practical business tool across numerous sectors it will drive an increasing need for data analysts.
Those savvy data analyst specialists who have a knack for identifying the right data and know how to extract the most benefit from it will stand to benefit the most career-wise, as companies seek to snap-up the best and brightest of these data harnessing & translating specialists.
Another benefit of the coming explosion in the ‘big data’ trend will be a vastly enhanced online customer experience as businesses use the insights gleaned from their data analysis to advance product development, better target consumers and take personalisation to the next level.
An entire sector already exists which aids firms to make heads and tails of their customers’ journey, so it makes sense to project that into the future forward thinking companies may seek to retain such talent in-house, as they understand the majority of customers today are more demanding than in years past, wanting to be served how they choose, when they choose.