They say robots are conquering the world, and there is some truth in it. Statista expects the robotics market to grow at an annual rate of around 37.4%. If the trend remains, by 2025 the market size will reach almost 500 billion U.S. dollars. At the same time, data analytics is also looming large: according to BI consultants from Iflexion, the technology brings innovation to … [Read more...] about What Does the Marriage of Data Analytics and Robotics Bring?
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.
DATAx: Data Science in the Real World
Argyle Group is pleased to announce an exciting reimagined program for DATAx New York. Taking place on November 6 and 7 at the brand new Convene 225 Liberty Street steps from historic Battery Park, this cross-industry event will bring together over 400 business leaders and practitioners working at the forefront of data and analytics innovation. The two-day conference will … [Read more...] about DATAx: Data Science in the Real World
Repair your Data Weakness and see your Profits Rise
Possibly the only thing everyone in business agrees on is that money talks. Whether you're looking at turnover or profit, the end game is the same “ to make the numbers better. What makes it incredible, is that so many businesses are happy to overlook obvious ways to boost those figures without having to chase more sales. Trust me “ it's not as unlikely as it sounds. Let's … [Read more...] about Repair your Data Weakness and see your Profits Rise
Serverless Computing? ?a New Business’ Little Helper
Several years ago commercial development of applications was an expensive process that required capital investment in hardware and software before a single line of code was generated. As cloud computing has come to rescue, it has introduced online services with hardware and software resources to fit all needs and budgets. However, those earlier cloud services tended to be … [Read more...] about Serverless Computing? ?a New Business’ Little Helper
A Layman’s Guide to Data Science: How to Become a (Good) Data Scientist
How simple is Data Science? Sometimes when you hear data scientists shoot a dozen of algorithms while discussing their experiments or go into details of Tensorflow usage you might think that there is no way a layman can master Data Science. Big Data looks like another mystery of the Universe that will be shut up in an ivory tower with a handful of present-day alchemists and … [Read more...] about A Layman’s Guide to Data Science: How to Become a (Good) Data Scientist
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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.
