Since its inception half a decade ago, Big Data has revolutionised everything from football to transportation, and logistics is one of the fields where big data brings an incredible potential. The complex and dynamic nature of logistics makes it the perfect use-case for big data application, and it is changing the way a lot of organisations operate. It has changed the way we … [Read more...] about How Big Data & Analytics Are Changing the Logistics Sector
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.
How Big Data Is Improving Temperature Control in the Food Industry
Traceability is one of the most important factors or elements in the food and beverage industry. From the time a product or good leaves the source and is transported to a distributor, it undergoes many processes and separate handlers. Because of that, it's important that all involved parties can track and monitor an item or goods status. Why Is Monitoring Important? You see, … [Read more...] about How Big Data Is Improving Temperature Control in the Food Industry
Why Chatbots Should Be Part of Your Big Data Plan in 2018
Two buzzwords worth knowing in tech: chatbots and big data. These technologies are constantly improving, and their intersection is one of the most exciting places to be in tech in 2018. Read on to find out why. Big Data Is the Future At this point, you're probably familiar with big data ”the steady and gigantic flow of information businesses collect and leverage to improve … [Read more...] about Why Chatbots Should Be Part of Your Big Data Plan in 2018
Aspiring Data Scientists – Get Hired!
Working in Data Science recruitment, we're no strangers to the mountains you have to climb and pitfalls faced when getting into a Data Science career. Despite the mounting demand for Data Science professionals, it's still an extremely difficult career path to break into. The most common complaints we see from candidates who have faced rejection are lack of experience, education … [Read more...] about Aspiring Data Scientists – Get Hired!
IoT and 5G New Technologies Create New Opportunities
The world is adapting and shaping around IoT technologies. In combination with 5G network connectivity, companies are preparing themselves for this constant shift to the progression of these technologies. Network operators, telcos, and IoT companies are coming together to promote an ecosystem where customers can have great experiences with your brand. Companies can't deliver … [Read more...] about IoT and 5G New Technologies Create New Opportunities
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.
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.
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.
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.
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.