Earlier this year, I completed my PhD at the University of Technology Sydney. My research focused on how do emerging information technologies change the interaction of organisations and technologies. The title of my research was: Sociomateriality in the age of Emerging Information Technologies: How big data analytics, blockchain and artificial intelligence affect … [Read more...] about Book: The Organisation of Tomorrow Available Now!
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 Companies Are Using Big Data to Boost Sales
Big data has already revolutionized several businesses across the globe. Big data technologies have been helping marketing and sales professionals better define products and services and managing sales network. According to Forbes, the impact of big data has been about 48% on the new age customer analytics, 21% on operational analytics, 12% on compliance/fraud, 10% on new … [Read more...] about How Companies Are Using Big Data to Boost Sales
Artificial Intelligence and Big Data are Helping to Make Smart Cities
A smart city uses big data and artificial intelligence to build an infrastructure that enhances the living conditions of people. It is all about using advanced technology creatively so that the residents can live in the best possible conditions. Decreased maintenance costs, optimized processes and delivering enhanced services form the core part of smart cities. The adoption of … [Read more...] about Artificial Intelligence and Big Data are Helping to Make Smart Cities
Protecting Big Data and Staying Agile with APIs
During the processing of big data, when large amounts of data is created, the question that often comes up is: what to do with this large set of information? The new extra' data made during processing can be from creating specialized logs, organized tracking, or even telemetry, and that information could then be processed, and so on. A serious issue is the protection of this … [Read more...] about Protecting Big Data and Staying Agile with APIs
5 Top Industries for Data Science Professionals
If you can work with data in this era, your career is on a lucrative path. The business world is embracing data scientists because of their unparalleled skills. All big organizations around the world are exploiting the power of customer data to enhance their services and revenues and they are on a spree of hiring data scientists who can extract the value of the most puzzling … [Read more...] about 5 Top Industries for Data Science Professionals
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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.
