I've just started working with O'Reilly on a new book, and we are looking for people to contribute their thoughts for inclusion in the book. The book is going to be called 97 Things About Ethics Everyone In Data Science Should Know. This book will be part of a larger series O'Reilly does called 97 Things, each of which contains -- wait for it -- 97 blog-length essays from a … [Read more...] about Want To Contribute To An Upcoming Book?
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 Marketers Can Use Big Data for Digital Marketing Success
Marketing plays a significant role in the success of any business, that offers a relationship between customer and organisation. Hence, it is very important to have strong marketing strategies to understand the market, competitors, customers and more. For that, companies need to focus on big data. Marketing without data is like driving with your eyes closed. - Dan … [Read more...] about How Marketers Can Use Big Data for Digital Marketing Success
Three Surprising Ways Big Data is Helping Our World
We have more information about our own lives and the world around us than ever before. But how are we using that data? And when there's so much information to keep track of, how do we choose what to study and capture the most important insights? Big data is a phrase for technology that collects and analyzes huge amounts of data, on any topic that can be measured ” like health, … [Read more...] about Three Surprising Ways Big Data is Helping Our World
Are You Ready to Be Agile?
Today it is almost bon ton to talk about being agile . It is as if the word is written on billboards along every road you take: if you want innovations, be agile; if you want to understand your clients, be agile; if you want to manage your personnel, you seem to have no other choice. And the market responds. Your bank is introducing a new agile team to react to clients' … [Read more...] about Are You Ready to Be Agile?
Why Non-Data Scientists can lead Data Science teams
I recently discovered a LinkedIn debate over whether or not non-data scientists could lead data science teams. The debate was polarised between those arguing for technical knowledge & those who focussed on leadership skills. As well as being fascinating and relevant, I was glad to see one voice arguing for leadership. Andy Sutton is Head of Data & Personalisation … [Read more...] about Why Non-Data Scientists can lead Data Science teams
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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.
