When the holidays start, shopping starts to pick up. But you might not realize that there are certain things that affect your holiday habits. It helps to know what these are so you can make the best decisions. That way, when you are buying gifts you are not just spending money. Instead, you are doing it in a way that will get great gifts but also not break the … [Read more...] about How Big Data is Affecting Your Holiday Shopping Habits
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.
5 Big Data Companies to Keep An Eye On in 2019
In only a few years our lives have been completely changed thanks to new technological advances and innovations, and never before has data played such an important role in our society. With a smartphone in our pocket, a computer at home, a laptop at work, an electric or hybrid car, online banking solutions, email accounts, social media, and clouding storage for all of our … [Read more...] about 5 Big Data Companies to Keep An Eye On in 2019
How to Run a More Data-Driven Online Business
Being data-driven is a huge buzzword in the business world these days. Everybody is talking about how artificial intelligence will be revolutionizing the way things are done, and Big Data is allowing companies to make accurate predictions and smarter decisions. Being data-driven has some stellar measurable benefits as well. According to a study from McKinsey & Company, … [Read more...] about How to Run a More Data-Driven Online Business
Why Do Supply Chain Managers Need Predictive Analytics?
Supply chain leaders are aware that technology will have an effect on business in the next two or three years, but as research shows, only less than half (44%) currently have a strategy in place. The change will most likely come from predictive analytics, which is expected to impact the entire business, from demand prediction to after-sales modeling. This technique has the … [Read more...] about Why Do Supply Chain Managers Need Predictive Analytics?
5 Qualities Your Next Chief Information Security Officer (CISO) Should Have
In a world where dataism has become the new normal for organisations, security has become a high priority. Or at least, it should be a top priority for organisations. Unfortunately, the reality is different, and every year, many consumers still become the victim of one of the hundreds of data breaches. Any organisation can be hacked, and without sufficient security measures in … [Read more...] about 5 Qualities Your Next Chief Information Security Officer (CISO) Should Have
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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.
