Running an e-commerce store? A small business? Big data could help you nab more sales this holiday season and get the revenue flowing in. If your small business has moved online, then youve already gained a significant edge over your competitors who are still operating only in physical locations. Spending forecasts back in October were strong: the National Retail Federation … [Read more...] about 5 Tips for Leveraging Big Data to Increase Holiday Sales
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.
Big Data Highlights Broad Human Behavior Patterns in New Study
Researchers from the ThinkBIG project at the University of Bristol have concluded that, by looking at patterns in huge data sets, including newspaper content, individual Twitter feeds and Wikipedia habits, it's possible to spot things about collective society that might not be detected otherwise. Its a remarkable revelation, made possible by the projects leader, Nello … [Read more...] about Big Data Highlights Broad Human Behavior Patterns in New Study
Goal Setting Guide: Retail Resolutions for 2017
We set personal resolutions for the New Year, so why shouldnt we do the same in our businesses? Retailers around the world are spending this time reflecting on the previous 12 months and setting the goals that will ensure 2017 is an even better year. If youre having trouble ruminating on your goals, take some inspiration from retailers around the world. Boost Your Use of … [Read more...] about Goal Setting Guide: Retail Resolutions for 2017
When Big Data Can’t Predict
Most people think that in the age of big data, we always have more than enough information to build robust analytics. Unfortunately, this isnt always the case. In fact, there are situations where even massive amounts of data still dont enable even basic predictions to be made with confidence. In many cases, there isnt much that can be done other than to recognize the facts and … [Read more...] about When Big Data Can’t Predict
Don’t Let America Send Your Startup Home Broke
Silicon Valley is the epicenter of the startup world, but its also a valley of shattered startup dreams. Many international founders arrive with hopes of raising multiple rounds of funding and   creating explosive growth, but most startups rarely make it. Silicon Valley has a unique culture that can be difficult to understand, not to mention the insane competition. The chances … [Read more...] about Don’t Let America Send Your Startup Home Broke
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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.
