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Big data evolution
In 2018, the EU’s General Data Protection Regulation (GDPR) will be fully implemented with the primary goal to “give citizens back control of their personal data.”
In 2018, the EU’s General Data Protection Regulation (GDPR) will be fully implemented with the primary goal to “give citizens back control of their personal data.” This regulation applies to any company holding data about any European Union citizen so includes Google, Facebook and other international companies “processing and holding the personal data of data subjects residing in the European Union, regardless of the company’s location.” And, it turns out, The EU aren’t messing around.
Penalties for non-compliance are up to 4% of annual global turnover—a big stick to keep companies in line, reports Forbes.com. Ultimately, the value and effectiveness of big data depends on the human operators tasked with understanding the data and formulating the proper queries to direct big data projects. Some big data tools meet specialized niches and allow less technical users to make various predictions from everyday business data.
Still, other tools are appearing, such as Hadoop appliances, to help businesses implement a suitable compute infrastructure to tackle big data projects, while minimizing the need for hardware and distributed compute software know-how, say experts at techtarget.com The importance of big data doesn’t revolve around how much data you have, but what you do with it.
You can take data from any source and analyze it to find answers that enable 1) cost reductions, 2) time reductions, 3) new product development and optimized offerings, and 4) smart decision making. When you combine big data with high-powered analytics, writes www.sas.com. A recent Gartner report estimated that e-commerce in India was expected to grow at the rate of 60 to 70 per cent year-on-year, according to cxotoday.com.
