2016 has come to an end, so it is time to look back at all the great articles that were published on Datafloq. From artificial intelligence to blockchain and the Internet of Things, our most popular articles covered leading and emerging technology trends. Take a minute and read-up on the articles help you better understand these trends. For 2017, we will continue to publish … [Read more...] about Top 10 Insights with Datafloq Articles in 2016
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.
6 Incredible Ways Small Businesses Can Use Big Data
Can big data provide similar opportunities for small businesses and retail traders the way it does for large corporations? This remains one of the most commonly asked questions amongst many venturing entrepreneurs. For decades, big companies like Google and Facebook have benefited from big data; and they still are! The fact that the giant companies have more self-generated data … [Read more...] about 6 Incredible Ways Small Businesses Can Use Big Data
Four Ways Big Data Will Make You Happy
It is the end of 2016, lets end the year on a positive note! We are in the middle of a data revolution, where data sources will be connected with each other and as such provide valuable insights. These insights can be used by organisations to reduce costs or increase their revenue, but it can also help in making consumers happier, something that in these times of uncertainty … [Read more...] about Four Ways Big Data Will Make You Happy
How Criminals are Using Big Data for Their Crimes
For all the advantages big data has given to organizations, one that has proven especially beneficial is its use in tracking down and capturing criminals. The utilization of massive sets of data to figure out where criminals will strike and how they will act has given a major boost to law enforcement officials. Predictive analysis is key to busting the culprits. Many businesses … [Read more...] about How Criminals are Using Big Data for Their Crimes
Big data on wheels: Google vs. Uber in the Driverless Revolution
The excitement is palpable and the rumors are flying. Google looks set to challenge Uber for the position of top tech company to do two things: advance the use of driverless car technology, and offer a ride-sharing service. If the rumors are true, its not unreasonable to ask: is it even possible for a company to overtake Uber in this respect? If anyone could, its Google. First, … [Read more...] about Big data on wheels: Google vs. Uber in the Driverless Revolution
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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.
