Professional executives from giants like Amazon, Microsoft, Google, Facebook, and Apple met officials at Downing Street to discuss their role in this pandemic crisis. One of the topics discussed was their duty in modeling and tracking data. Many companies were asked how they could leverage artificial intelligence solutions. In the last month's report of WHO, it was stated that … [Read more...] about How AI Helping Government to Track Coronavirus
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 Keeps Analytics And Data Science Executives Up At Night?
One way to explore what trends may be emerging is to talk to people about what has them most excited or worried about the future. In the analytics and data science space, a recurring theme among experienced leaders is the concern of not being able to keep up with all of the rapid change taking place “ both individually and as a team. New algorithms, platforms, data, business … [Read more...] about What Keeps Analytics And Data Science Executives Up At Night?
How Is Big Data Analytics Adding A New Frontier To Ecommerce Space?
Information is the oil of the 21st century, and analytics is the combustion engine - Peter Sondergaard, Senior Vice President, Gartner. It won't be an overstatement to say no business can cherish success by ignoring the importance of big data. The ecommerce space is no exception that needs greasing with rich insights to cut through the noise. Â You would be surprised to know … [Read more...] about How Is Big Data Analytics Adding A New Frontier To Ecommerce Space?
3 Reasons Your Company Needs A Recommendation Engine
We are willing victims to the power of recommendation engines, but harnessing one is not an instant download, yet. Here's why you need one and how to get it. Without fail, we can't talk about recommendation engines without acknowledging the brilliance of Youtube and Netflix “ their recommendation engines are a renowned technique to keep customers engaged and subscribing month … [Read more...] about 3 Reasons Your Company Needs A Recommendation Engine
Insurance Data Analytics for Better Decision Making
Data is a gold mine in the hands of insurers and using it the right way is what significantly changes the game of competition in the insurance industry. Some researchers predict that the power of Big Data in the insurance spectrum is yet to unleash itself in all its energy. Moving towards it, the insurance incumbents are finding ways to transition unstructured data into … [Read more...] about Insurance Data Analytics for Better Decision Making
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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.
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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.
