There have been many science fiction stories (as well as video games!) that revolve around the tradeoffs between powerful, strong, hard to harm combatants and those that are small, nimble, but easy to harm. Both have their merits and both can be useful in different situations. However, the same profile doesn't work best in every situation. There are situations in a fight where … [Read more...] about How to Balance Analytics Agility and Stability
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 the Mortgage Industry is Being Reshaped by Big Data
What goes into getting a mortgage or refinancing your home? A fairly individualized process that hinges on both the lending bank and the borrowers' history, the mortgage industry is on the brink of transformation “ and it's all because of big data. From the initial application process to ongoing loan servicing, data banks are dictating lending in an unprecedented way. What does … [Read more...] about How the Mortgage Industry is Being Reshaped by Big Data
How Artificial Intelligence will Transform IT Operations and DevOps
To state that DevOps and IT operations teams will face new challenges in the coming years sounds a bit redundant, as their core responsibility is to solve problems and overcome challenges. However, with the dramatic pace in which the current landscape of processes, technologies, and tools are changing, it has become quite problematic to cope with it. Moreover, the pressure … [Read more...] about How Artificial Intelligence will Transform IT Operations and DevOps
Big Data Continues Serving Patients in Increasingly More Ways
From marketing to healthcare, across all industries, big data has become the next disruptive technology. The healthcare industry specifically is consistently a late technology adopter, however, it is starting to uncover new ways to optimize and serve patients using big data. These are the top five ways big data is helping improve patient lives. Big data helps doctors determine … [Read more...] about Big Data Continues Serving Patients in Increasingly More Ways
How Data Analytics is Transforming Healthcare Systems
Big Data Analytics is entirely transforming business paradigms. Automated databases are enabling businesses to perform mundane tasks more efficiently. And, the commercial sector isn't the only area to benefit from data analytics. Its impact is widespread and is being seen across many different sectors, including healthcare. Access to healthcare facilities is a basic, human … [Read more...] about How Data Analytics is Transforming Healthcare Systems
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.