What are the different future of big data analysis?
- What are the different future of big data analytics?
- What is the future of data analysis?
- What do you think the future of big data will be like?
- What are four different types of big data analytics?
What are the different future of big data analytics?
Big data is helping companies in different sectors, from marketing to pharmaceutical companies to third sector organizations. By 2020, it is predicted that the amount of data that is worthy of being analyzed, will surprisingly double. According to Forrester, companies will make an attempt to sell their data.
What is the future of data analysis?
According to one McKinsey report focused on the healthcare industry, “data analytics and information services will have the fastest growth rate at 16% to 18% over the next five years, while core administrative services are unlikely to see much growth due to automation.” Here's what you need to know as you plan your ...
What do you think the future of big data will be like?
Future of Big Data Big Data is commonly associated with other buzzwords like Machine Learning, Data Science, AI, Deep Learning, etc. Since these fields require data, Big data will continue to play a huge role in improving the current models we have now and allow for advancements in research.
What are four different types of big data analytics?
The four predominant kinds of analytics– Descriptive, Diagnostic, Predictive and Prescriptive analytics, are interrelated solutions helping organizations make the most out of big data that they have.
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