Enterprises have massive amounts of structured and unstructured data, and to be truly useful, this information has to deliver a 360-degree view of the business so that decision-makers can understand its implications across all of the business disciplines. Unfortunately, it is almost impossible to make sense of all the different ongoing discussions captured in enterprise data today - and the amount and types of data that enterprises will be expected to manage in the next few years will be orders of magnitude higher than what exists today. Coordinating this exponentially increasing amount of data, eliminating data silos through standardization and consolidation, and plugging all the data together across multiple disciplines is a secret weapon for organizations that want to maintain their competitive advantage.

In other words, the problem of information overload is a business problem, not just a technical problem. This is something that many organizations overlook, mainly because it's up to CIOs and CTOs to find a solution. But the effect of poorly managed data has a direct impact on productivity and the bottom line, and smart companies (as well as forward-thinking government agencies and nonprofit entities) know that they need to be ahead of the curve if they want to benefit from the information avalanche rather than be buried under an infinite pile of ones and zeroes.

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