Data visualisation is the process of displaying data in visual formats such as charts, graphs or maps. This method is commonly used to grasp more meaning out of a snapshot of data which in other approaches might require sorting through piles of spreadsheets and great quantity of reports. With the amount of data growing rapidly it is more important than ever to interpret all of this information correctly and quickly to make well-informed business decisions.[read more]
This article will explain you the current state of the data in the field of consumer finance, the major issues in it, what the alternative scenarios are and how it would look in the near future. While the banks are having access to top-notch information about their clients, they are often reluctant to benefit from it or let other companies to do so. However, this is already changing.[read more]
We find ourselves in the midst of a surge in big data use. The number of businesses, organizations, and institutions now utilizing big data solutions has exploded in recent years, as has the amount of data collected. Some estimates put the total amount of data generated each day at 2.5 quintillion bytes! Such a number is hard to comprehend let alone make use of, and yet organizations have been eagerly adopting big data analytics for their ambitious goals.[read more]
The Obama administration plans to dedicate $215 million in the 2016 budget to the “Precision Medicine Initiative.” This project centers on the collection and analysis of data from a projected million volunteers. Funding includes $130 million for the National Institutes of Health (NIH) to collect the data for analysis; $10 million to the U.S. Food and Drug Administration (FDA) to architect databases; and $5 million to protect the privacy of the collected data.[read more]
A look at a number of recent reports and surveys shows that while there is an appetite for using data more wisely, and an intention amongst top executives to use data more there are still many companies not using data as effectively as they could.[read more]
Apache Hadoop unquestionably delivers ROI by increasing the flexibility of data management/storage, processing, and analytics abilities. And it’s logical to assume that “commodity” servers translate into cost savings. But the truth is that while Hadoop can and does deliver significant cost reductions and revenue gains, much depends on the actual deployment.[read more]
Big Data has undisputedly ruled businesses worldwide, transforming them with its various helpful features. However, its inaccuracies and drawbacks have resulted in its attracting its fair share of criticism. Every major revolution faces severe criticism. The Big Data revolution did too.[read more]
Big data is a big deal lately across marketing channels, and is also a puzzle for many companies. For many, the amount of data is so “big” that it is hard to decipher through the noise and make sense of it all. This is where media monitoring tools can help you.[read more]
The social media industry has grown leaps and bounds in the past decade, but some challenges have persisted. Major networks such as Facebook have struggled to meet revenue targets. Facebook’s IPO stock price was based off revenue growth figures that have failed to materialize over the past few years, raising concerns that the site couldn’t monetize its users as well as analysts hoped.[read more]
When it comes to big data, just about every industry can benefit in some way or another. The healthcare sector is just starting to realize the potential value of big data, and the next several years will illustrate just how powerful and useful it can be to have detailed records of all kinds of patients over time.[read more]
Mobile technology is positively affecting businesses across the globe, allowing for real-time data transmission, instant collaboration, and the ability to access key business metrics from just about anywhere. With mobile supply chain applications, business owners in the food and beverage industry have greater insight into their everyday workflow – accessing data on the fly, enabling them to make better decisions faster.[read more]
One of the first rules of big data, could quite possibly be the following: there is no Big Data. That is – there is no single piece of big data research that is definitive. A research that gives you completely conclusive results, a research that does not generalize, a research piece that will be relevant in its entirety the next day after it has been drafted.[read more]
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