In today’s connected world, users and devices together create over 2.5 quintillion bytes of data daily! And access to the right data and analytics tools can greatly enhance decision-making. This is where machine learning helps in by processing thousands of data points in real-time without the intervention of any human intervention to generate actionable intelligence. So, without any doubt, big data is an emerging disruptive technology in today’s IT domain. However, like any other new technologies, big data also has its own set of challenges, especially from the noise about its potential and capabilities. According to the NewVantage Partners Big Data Executive Survey 2017, 95 percent of the Fortune 1000 business leaders surveyed said that these firms had undertaken a big data project in the last five years. However, less than half (48.4 percent) said that their big data initiatives had achieved measurable results. So, let us dive into some of the common challenges faced in this sector.
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What are the Big Data Challenges Faced By Business Enterprises. While the world is racing to adopt big data practices and models, there are numerous challenges that need to be addressed for the successful implementation of these projects.