Companies need data scientists to provide them insight and direction of structured data We live in a world practically drowning in data. As Co-founder and Co-director of the MIT Initiative on the Digital Economy, Andrew MacAfee once said, The world is one big data problem. Indeed, people who have been in business for at least a decade, can see a distinct change in their careers … [Read more...] about Recognizing the ‘Big Data’ Problem
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.
What’s the Data on Workplace Safety?
While workplace safety has certainly improved since the introduction of the Occupational Health and Safety Act, or OSHA, in 1970, there is always room for improvement. Data has always been vital to the improvement of workplace safety and in the modern era where data is being generated at an unprecedented level, this information is more important than ever. Workplace safety data … [Read more...] about What’s the Data on Workplace Safety?
20 Questions That Make Any Analytics Project Successful
Many would say that the most critical phase of any analytics endeavor is what happens at the very beginning. The way a project is defined and scoped has to be right or else everything that follows is irrelevant. Unfortunately, it can be difficult to find the time to execute a proper scoping process. Not only are analytics and data science professionals very busy, but their … [Read more...] about 20 Questions That Make Any Analytics Project Successful
Will Big Data Kill Insurtech?
For decades, insurance had a reputation for being antiquated and resistant to change. But with technological disruption shaking things up across all industries, even the insurance companies had to give him. The result? Insurtech, short for insurance technology, reached over $500 million market evaluation last year. From AI to blockchain, the insurance industry is now employing … [Read more...] about Will Big Data Kill Insurtech?
10 Best Big Data Training Programs Online
30+ experts have compiled this list of Best Big Data Course, Tutorial, Training, Class, and Certification available online for 2020. It includes both paid and free resources to help you learn Big Data and these courses are suitable for beginners, intermediate learners as well as experts. 10 Best Big Data Training Programs Online 1. Big Data Certification Course (Coursera) No … [Read more...] about 10 Best Big Data Training Programs Online
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.