I lead the technology industry business unit for a fast-growing analytics firm. And one of the perks of my job is the numerous conversations I get to have with a variety of prospects or clients. I recently read the novel The Art of Thinking Clearly'Â by Rolf Dobelli, which deals with systematic cognitive errors of human beings as a result of our evolution. I enjoyed reading the … [Read more...] about Master the Art of Thinking Clearly Before Making Your Analytics Investment
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 12 Basic Principles Of Data Visualization
The best data in the world won't be worth anything if no one can understand it. The job of a data analyst is not only to collect and analyze data, but also to present it to the end users and other interested parties who will then act on that data. Here's where data visualization comes in. Many data analysts are not necessarily experts in data communication or graphic design. … [Read more...] about The 12 Basic Principles Of Data Visualization
How to Get The Most Out of Data Warehouses
Currently, small and medium-sized businesses have started embracing the utilization of Big Data. Data warehouses have given organizations a window into their historical performance and data analysis so as to get more information about customer behavior and business trends on quarterly and annual analysis. The need to capture and analyze data has helped expand the growth of the … [Read more...] about How to Get The Most Out of Data Warehouses
This Is Why We Need To Regulate AI
It's time we start talking about AI regulation. As the technology progresses at a rapid pace, it is a critical time for governments and policymakers to think about how we can safeguard the effects of Artificial Intelligence on a social, economic and political scale. Artificial Intelligence is not inherently good or bad, but the way we use it could well be one or the … [Read more...] about This Is Why We Need To Regulate AI
The Role of Big Data in Black Friday and Cyber Monday Shopping
Have you ever wondered how companies can afford to sell off their products at such low prices during the massive sales events, such as Black Friday or Cyber Monday? As you can suppose, none of their decisions is made randomly. To prepare for such events, retailers need to build a detailed pricing strategy, conduct customer segmentation and, most importantly, constantly collect … [Read more...] about The Role of Big Data in Black Friday and Cyber Monday Shopping
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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.
Want to learn more about big data? Datafloq has courses available. Contact us to get started.
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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.
