Problem: Big Data greatly increases the volume, velocity, and complexity of data streaming into the organization. Data comes from numerous disparate sources, which makes it harder to find correlations between seemingly unrelated phenomena. This is rather problematic when attempting to analyze this data.
Solution: By the nature of Big Data, collecting input from social networks, blogs, and public sources, along with your traditional customer, market, and operational data, results in significantly greater amounts of noise. Whatever is irrelevant to your goal analyses should be filtered out early on.
Heuristics based on domain expertise, along with time-series analysis, will throw out the noise yet leave in exceptions that might be important to detect trend breaks and quickly identify market changes and performance issues or opportunities.