All that Data which is measurable may not be qualitative. While Big Data helps us find answers to well-defined questions, Thick Data connects the dots and gives us a more realistic picture. Â Â We have been hearing this for quite a few years that Big Data and Analytics are the next big waves. While these waves are already sweeping us over, we are missing out on the small things … [Read more...] about How Thick Data Can Unleash the True Power of Big Data
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 Educational Systems Should Consider Big Data
Advances in technology have enabled good decision making in most educational institutions following the increased use of big data. The policy makers in the institutions have been using big data to understand the sentiments about the school and make systematic improvements to the student's performances. The term big data refers to a large amount of information flowing through … [Read more...] about Why Educational Systems Should Consider Big Data
How Big Data Can Reduce Building Injuries
Accidents are a part of life, but when we carefully analyze the data on unintended incidents and injuries, we often find that many of them could have been avoided through greater care and harm reduction strategies. Unfortunately, because many companies and individuals view each injury in a bubble, they miss the significance of certain occurrences and can't effectively reform … [Read more...] about How Big Data Can Reduce Building Injuries
What is the Best Programming Language for Machine Learning?
Q&A sites and data science forums are buzzing with the same questions over and over again: I'm new to data science, what language should I learn? What's the best language for machine learning? There's an abundance of articles attempting to answer these questions, either based on personal experience or based on job offer data. Τhere's so much more activity in machine … [Read more...] about What is the Best Programming Language for Machine Learning?
Are You Wasting Your Data or Consuming It?
Last night I was in the checkout line at the grocery store. There was a woman behind me with a cart full of produce who told me, I'll probably end up throwing most of this away. I asked her why. She said she knows she should eat healthy, but it takes too much time and effort to whip up a meal from scratch, and anyway, she wasn't that great of a cook. Despite her best … [Read more...] about Are You Wasting Your Data or Consuming It?
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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.
