Data analytics is one of the newest technologies to cause a buzz across all industry sectors. The BFSI sector finds it all the more valuable, keeping in view that data analytics ensures security, business scalability, and even personalization- which is just the tip of the iceberg. Insurance analytics unlocks the true potential of data and utilizes it to meet organizational … [Read more...] about How Insurance Analytics can add value to businesses
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.
4 Ways Web Data Services Augment Traditional Investment Research
Almost every industry relies on data science these days, and investing is no different. Investors are famous for exploring every nook and cranny when researching potential portfolio additions. The rise of data analytics has aided them and has changed the execution of investing processes. According to market intelligence firm Mordor Intelligence, data-driven algorithmic … [Read more...] about 4 Ways Web Data Services Augment Traditional Investment Research
AI Data Annotation The Next Frontier in Revolutionizing Core Business Processes
Without trying to sound too alarmist, technology adoption will be one of the deciding factors for the survival of businesses in the coming times. Covid-19 and the accompanying disruption have highlighted the importance of future-proofing businesses with the adoption of technology and digital strategies. According to a Gartner poll, AI came to the rescue of businesses during … [Read more...] about AI Data Annotation The Next Frontier in Revolutionizing Core Business Processes
Importance of cuboid annotation in real-life scenarios
One of the most important processes is the 3D cuboid image annotation approach, which aids robots in recognizing all three dimensions of things. This image annotation method is used to recognize objects in more detail, which aids in the training of the 3D visual perception model. It entails using high-quality labeling and a marking approach to highlight things in … [Read more...] about Importance of cuboid annotation in real-life scenarios
What is the Microsoft Azure Portal?
The Azure Portal, is a web based centralized console that allows you to manage all your web and cloud applications in one place. It helps you build, manage and monitor everything from simple web apps to more complex cloud applications from a single unified platform. As a computing platform, Azure also functions as an online portal that can be used to manage and access various … [Read more...] about What is the Microsoft Azure Portal?
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.