IT decision-makers are on the front lines of gathering, sorting, and analyzing big data to equip their organizations to make the best business decisions today, and tomorrow. While IT departments have access to more data and more tools than ever, the sheer amount of information being generated, and the growing number of applications and platforms available to harness and understand that information, make managing advanced data analytics a challenge for many IT professionals. Big data analytics can deliver efficiency and speed, with the ability to identify insights for instant and informed decision-making. This enables an organization to work more quickly and productively, stay agile, and even gain a competitive advantage.
But some challenges come with big data as well, from segmenting useful data from clusters and identifying the right data stores and platforms to eliminating problematic data silos and finding and integrating the best big data tools into your architecture.
