Data this. Analytics that. You're probably tired of hearing all these buzzwords. They're just useless hype anyways, right? Not so fast. Taking advantage of data analytics can actually make all the difference between a failing insurance business and a thriving one. Here's how data analytics can help you improve the performance of your business. It can help you increase … [Read more...] about The Benefits of Data Analytics for Insurance Businesses
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.
Introduction to Blockchain & What It Means to Big Data
Arguably the most significant development in information technology over the past few years, blockchain has the potential to change the way that the world approaches big data, with enhanced security and data quality just two of the benefits afforded to businesses using Satoshi Nakamoto's landmark technology. What is a Blockchain? Blockchain is a distributed database system that … [Read more...] about Introduction to Blockchain & What It Means to Big Data
3 Data Driven Technologies That Are Opening Our Eyes Wider
Every morning when you open your eyes, you are flooded with information about the world around you that gives you the perspective you need to get out of bed without tripping over and knocking your head against the floor. Without collecting data about the world around us, we have nary any idea how to get what we want. Data-driven technologies help us get that data and to put it … [Read more...] about 3 Data Driven Technologies That Are Opening Our Eyes Wider
Digital Transformation in Healthcare: A Practical Success Case
Digital transformation continues to penetrate the paradigms of every industry. Whether it is the manufacturing industry, retailing industry or the service industry, the footprints of digital transformation can be found across all. Yet, amidst the great disruption, a resistance fosters. A resistance, that is coming from the healthcare sector. Dr. Robert Wachter, describes it … [Read more...] about Digital Transformation in Healthcare: A Practical Success Case
What Skills Do I Need to Become a Data Scientist?
Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention, or mine through the data to find new business opportunities ”organizations are increasingly relying on the expertize of data … [Read more...] about What Skills Do I Need to Become a Data Scientist?
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.