It is hard to believe that in just a few months we will be heading into an entirely new decade! 2010 to 2019 was certainly a period of incredible development in terms of technology “ and there is little doubt that 2020 will continue this trend. Many experts agree that this next year will be fueled even more by data and analytics. According to Statista, the forecast for Big Data … [Read more...] about The 4 Up and Coming Data Analytics Trends That Will Define Business for 2020
Big Data
Learn everything you need to know about big data. Find out how companies are using this revolutionary technology and what it means for your business strategy.
Why Better Data User Experience Means Better ROI
It should be the least controversial idea in the world: when people have easy access to quality information, they'll make better decisions. But for so many of the world's businesses, this quality information lives behind a veil that can only be pierced by trained professionals who specialize in data science or other niche topics. The user experience of business data generally … [Read more...] about Why Better Data User Experience Means Better ROI
Why Digital Health Will Need Big Data to Support Its Infrastructure
Healthcare IT leaders must lead the charge to deploy big data analyses across the continuum of community medical services. Rapidly expanding medical needs and a whirlwind of technological innovations has created a mass of data that no healthcare organization can ever hope to manage manually, according to the American Medical Informatics Association (AMIA). Resultantly, a … [Read more...] about Why Digital Health Will Need Big Data to Support Its Infrastructure
6 Tips for Image Optimization for Data Visualization
Visuals are used to attract attention but also to provide information. Data visualization is a basic skill of data scientists, helping them tell the story behind the data. The popularity of infographics and data visualizations on the Internet has grown exponentially in the last years. According to a report from Infographic World, visuals improve information retention by 400%. … [Read more...] about 6 Tips for Image Optimization for Data Visualization
Harnessing Big Data to Improve Healthcare
No doubt about the fact of how quickly the healthcare industry is progressing each day and is expected to reach Rs. 19,56,920 crore (US$ 280 billion) by 2020. With the pace of development, it has become highly important to manage and take complete care of the patients and other particulars related to the healthcare industry. Several hospitals, practitioners, and researchers … [Read more...] about Harnessing Big Data to Improve Healthcare
What is big data?
Big data is a term that refers to the massive amount of digital data created and shared every day. Big data can transform how we live, work, and communicate. It can be used to improve everything from public health and urban planning to business and marketing.
Big data is also changing the way we think about privacy and security. The volume, velocity, and variety of big data present challenges and opportunities for organizations and individuals. Regardless, big data is here to stay, and its impact will only continue to grow in the years to come.
What is big data analytics?
Big data analytics is the process of turning large, complex data sets into actionable insights. Businesses use various analytical tools and techniques, including machine learning and statistical analysis, to do this.
Big data analytics can be used to improve decision-making in areas like marketing, operations, and customer service. It can also be used to identify new business opportunities and optimize existing processes. With the help of big data analysis, businesses can gain a competitive edge by using their data better.
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When was big data introduced?
The term big data was coined in the 1990s, with some giving credit to John Mashey for popularizing the term. However, the concept of big data has been around for much longer.
Where does big data come from?
In the early days of computing, scientists and businesses began to realize that the amount of data being generated was increasing exponentially. As a result, they began to develop new methods for storing and processing data.
Over time, these methods have become increasingly sophisticated and have played a key role in enabling businesses to make sense of vast amounts of information. Today, big data is used in various industries, from retail to healthcare, and its importance is only likely to grow in the years to come.
What are examples of big data?
One of the most common examples of big data is social media data. With over 2 billion active users, Facebook generates a huge amount of data every day. This includes information on user interactions, posts, and even location data. Analyzing this data can help companies better understand their customers and target their marketing efforts.
Another example of big data is GPS signals. These signals are constantly being generated by devices like cell phones and fitness trackers. When combined with other data sets, GPS signals can be used to provide insights into everything from traffic patterns to human behavior. Finally, weather patterns are another type of big data set. By tracking these patterns over time, scientists can better understand the impact of climate change and develop strategies for mitigating its effects.
How do companies use big data?
Companies use big data in marketing, product development, and customer service. By analyzing large data sets, businesses can identify patterns and trends that would be otherwise difficult to spot. For example, a company might use big data to track customer behavior patterns to improve its marketing efforts.
Alternatively, a company might use big data to improve its products by identifying areas where customers are most likely to experience problems. For instance, big data can be used to improve customer service by finding pain points in the customer journey. Ultimately, big data provides companies with a valuable tool for gaining insights into their business operations.