Political campaigns are anything but simple. Theyve gotten even more complex over the years as industries lobby for their own interests by sending money to the candidates they believe will serve them best. While campaigns have used whatever data they could get their hands on in the past, the amount of specific information now available (thanks to big data) has been a boon to … [Read more...] about Why Big Money and Big Data Win Elections
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.
Does a Budget Increase Lead to Successful Data Projects?
Back in 2015, organizations expressed high expectations in regards to the use of data. Over two-thirds of organizations said they saw huge opportunities with data, nearly 70% expected a budget increase for 2016. Vision and management support were the large themes, operationally the challenges were building up teams and developing central data warehouses. Organizations pointed … [Read more...] about Does a Budget Increase Lead to Successful Data Projects?
Big Data Strategy (Part I): Tips for Analyzing Your Data
We have seen in a previous post what are the common misconceptions in big data analytics, and how relevant it is starting looking at data with a goal in mind. Even if I personally believe that posing the right question is 50% of what a good data scientist should do, there are alternative approaches that can be implemented. The main one that is often suggested, in particular … [Read more...] about Big Data Strategy (Part I): Tips for Analyzing Your Data
How NPO Provides Personal Recommendations Based on Viewed Content
For over 60 years, the Nederlandse Publieke Omroep (NPO), Public Broadcasting Organization, has been producing and broadcasting radio and television. Every week, NPO reaches 85% of the Dutch population, with a larger presence online. To provide relevant content for online viewers, NPO recently implemented several smart data applications. Personal broadcasts Because of changes … [Read more...] about How NPO Provides Personal Recommendations Based on Viewed Content
How Big Data Will Be Used to Predict the next Natural Disaster
Climate change has been increasing the severity and frequency of natural disasters in recent years, which, in turn, has caused the death of millions of people in different nations around the world, and cost billions of dollars in damages. As these storms get worse, and the population continues to grow exponentially, it has become even more imperative that we learn everything we … [Read more...] about How Big Data Will Be Used to Predict the next Natural Disaster
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.