Sabharwal discusses the future of big data analytics in this article, where Sabharwal shares some interesting insights and statistics on how big data will grow steadily in 2017. Sabharwal is no stranger to big data and has extensive technical experience. Mobile Phone Touch Screen
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2017 big data is so big, it will be king.
Sabharwal believes that Xavient is constantly analyzing customer trends and adopting big data technology, and the results show that these predictions will come true in 2017. Sabharwal said: "Our company's internal team has reached several conclusions, which will inevitably affect the financial market." These conclusions include the following:
Banks will pursue more accurate and real-time access to data to build financial institutions that are more cost-effective and profitable.
With the development of big data, financial institutions will focus more on developing customer engagement and customer experience services. Traditionally, financial institutions have focused on providing customer service through innovative use of big data and predictive analytics, enabling financial institutions to provide better customized services.
Financial institutions will develop “emotional analysis†technology to more accurately judge the satisfaction of each customer.
As cloud technology accelerates and its acceptance in banks and financial services institutions increases, pressure from networks, legal systems, and growing data sets is increasing, which will force banks to withdraw.
Sabharwal said: "Of course, these predictions not only involve the financial sector, but also all areas from retail to healthcare systems to government services. What is important is that the financial institutions will lead the industry to attract other industries. look."
That is to say, the transformation of big data into more forms is not a one-off event. Many analyst companies agree with this view. For example, in October this year, Gartner said at the "2016 Business Intelligence and Analysis" summit in Munich, according to the survey, 48% of companies in 2016 invested in big data, an increase of 3 percentage points compared with last year. However, companies planning to invest in big data have fallen from 31% in 2015 to 25% in 2016. Nick Heudecker, research director at Gartner, said: "Big data investment is growing, but our survey shows that this trend is slowing down, and companies that are interested in investing in the future will continue to decrease. The biggest problem is not big data itself, but how we use it. ."
This statement fits in with Sabharwal's predictions, "Sabharwal added: "Growth may be slowing, but the total amount of structured or unstructured data is growing at a rapid rate. It all comes down to how people will use big data."
The issues involved are very complicated. The amount of data in the business world is more than ever and is growing rapidly, but if they don't know how to use it, it means it's almost impossible to show the value of big data projects. “This may be because most big data projects don't have a clear return on investment that can be predetermined.†Heudecker said, “Another reason is that big data initiatives are part of a larger funding program. With the term 'big data' Gradually, this becomes more and more common. It will be normal to handle larger data sets and multiple data types."
While Sabharwal is convinced that his predictions are correct and that big data is doomed to grow, the biggest problem facing big data in 2017 is how to use it.
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2017 big data is so big, it will be king.
Big data will grow bigger and bigger enough for companies that are trying to handle large and more complex data sets, so they can't get useful value from these huge amounts of data. At least, Neeraj Sabharwal, director of cloud computing and big data at Xavient Information Systems, thinks so.