No matter how well you understand the subject and all the formulas, equations and algorithms that go with it, having the ability to predict something that is going to happen in the future is cool! If I had to make a pop culture reference to how someone can control outcomes by making changes based on data, I would quote Moneyball. The movie that made sabermetrics a household … [Read more...] about ‘Moneyball’ing data A closer look at how churn and propensity models work
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 Open Data is Driving Innovation in Government
The amount of useful data that most governments have access to is impressive by any standard. But what's more impressive is the potential that data has to improve the way that governments operate. That's why one of the biggest trends in the GovTech sector today is the push for open data. The movement towards open data in the public sector is significant for a couple of primary … [Read more...] about How Open Data is Driving Innovation in Government
5 Reasons Why You Should Not Ignore Data in Your Recruitment Process
The colors in the palette and their relative hex codes are innumerable. Not every color appeals to you visually on its own. Yet when filled in the right white spaces of a seemingly vacant scenery, the hue adds vibrancy and brings life to the art. Hiring people is an art quotes Howard Schulz, Chairman & CEO of Starbucks and I couldn't agree more. When placed at the right job … [Read more...] about 5 Reasons Why You Should Not Ignore Data in Your Recruitment Process
Why Analytics Of Things Standards Are Needed
As the Internet of Things (IoT) continues to explode, so does the need for the analysis of IoT data. At IIA, we call the analysis of IoT data the Analytics of Things (AoT). There are many success stories from the world of AoT. However, without some attention to standards of both IoT data itself and the analysis of it, organizations will struggle to achieve AoT's potential. In … [Read more...] about Why Analytics Of Things Standards Are Needed
How China Will Use Technology to Change the World
The introduction of several sharing apps such as mobile commerce that will make China the world game changer. China's innovations in supercomputing, quantum physics, and Artificial Intelligence will also impact the world. While China is not known for killer inventions, it has become a champion of innovation. Here are some of China's innovations that might change the … [Read more...] about How China Will Use Technology to Change the World
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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.
