Through Streaming analytics, real-time information can be gathered and analyzed from and on the cloud. The information is captured by devices and sensors that are connected to the Internet, as part of the Internet of Things disruption. Streaming analytics solutions allow organizations to build real-time solutions using IoT and extract information from them later using Big Data, … [Read more...] about 5 Streaming Analytics Platforms For All Real-time Applications
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.
Five Essential Resources Needed for Big Data Analytics
Big Data services could run the gamut from assessments of data to business strategy to implementation. The services are offered by various business organisations, beyond systems integrators, VARs and IT consultants. Originally, big data emerged as a term that describes sets of data who size is beyond the ability of traditional databases for capturing, storing, managing and … [Read more...] about Five Essential Resources Needed for Big Data Analytics
3 Ways Big Data Will Transform Marketing In 2018
The Big Data Market has been anticipated to cross $203 Billion by 2020, and the progress so far goes in complete sync with the prediction. While the enterprise of today is struggling hard to cement a stature in these highly competitive setups, emerging technologies have finally earned their due and are being unlatched to their potential. Marketing has always been a flexible … [Read more...] about 3 Ways Big Data Will Transform Marketing In 2018
A Missing Ingredient in Alzheimer’s Disease Prevention May Lie in Brain Training Technology
At some point, many of us start to feel it: the reaching for a word, the wondering what we came for when we entered a room. It's probably not dementia; more likely a severe case of digital overload and multitasking mania. Yet books and films like Still Alice, in which a Harvard linguistics professor descends into early onset Alzheimer's disease at age 50, can hit a little too … [Read more...] about A Missing Ingredient in Alzheimer’s Disease Prevention May Lie in Brain Training Technology
Why More Restaurants Are Turning to Big Data
Businesses are increasingly depending on big data to gain insights that would be too time-consuming or impossible to retrieve through other methods. It's not surprising, then, that restaurant brands are following that lead. There are numerous reasons why they do so, and the following are some of the most prominent. Boost Customer Experiences Data gathered by the NPD Group warns … [Read more...] about Why More Restaurants Are Turning to Big Data
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.