Data processing is in itself a simple and straightforward process, but big data can be as intimidating as its name promises. From the second you start reading this sentence until the moment you reach the end of it, thanks, largely in part, to mobile solutions, cloud computing, and IoT, data has been produced in huge quantities. The data generated come in all shapes and … [Read more...] about How to Cope with Three of the Most Tedious Big Data Obstacles
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.
The Future of Content Marketing Infused With Big Data Analysis
According to IBM, the world collectively creates each day, 2.5 quintillion bytes of data, and 90% of the existing data has been produced over the last two years alone. Big Data is the sheer enormity of information that users generate every second of every day, both online and offline. Big Data can be any type of data, including but not limited to: Sensor data Text / audio / … [Read more...] about The Future of Content Marketing Infused With Big Data Analysis
How Big Data Is Transforming Insurance
Data analysts often use the term big data to describe data sets that are too large to store and analyze with traditional methods such as relational database management systems (RDBMS). Big data is greatly affecting the operations of many businesses, including those in the insurance sector. Insurance data can be particularly challenging to use because it comes from many sources … [Read more...] about How Big Data Is Transforming Insurance
Why You Should Collect Data Responsibly
A doctor starts to collect information about a client from the first day of the appointment to each visit that a patient makes to their clinic. As a medical facility, data collection is often straightforward because patients are aware that their details are critical to the delivery of quality care. Patients may even assume that their caregiver is collecting their health records … [Read more...] about Why You Should Collect Data Responsibly
Is Traditional Data Obsolete? Considerations in the Age of Big Data
When we talk about data today, we almost always talk about big data “ information collected through passive processes in enormous amounts. But big data's domination also raises a question: does traditional data collection even matter anymore? Big Data's Abilities As the dominant framework, big data is the first place businesses look for insights when they need to make a big … [Read more...] about Is Traditional Data Obsolete? Considerations in the Age of Big Data
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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.
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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.
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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.
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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.
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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.
