Can Big Data bring BIG changes in the recruitment sector? Let's find out in this article! There's no doubt that the success of any company is directly linked to its people. Over 71% of CEOs think so, according to a report from Harvard Business Review. More precisely, the report has found that CEOs view human capital as the top factor for the sustainable economic value of their … [Read more...] about 5 Massive Ways that Big Data changes Talent Acquisition
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 In Project Management – Benefits and Importance
The insights are derived from the enormous quantities of data that exist in large and small organizations. If data management is not appropriately handled, up to 35% of operating revenue may be charged to a company. Thus it is definitely clever to recognize the role that big data may play in your firm. But how can we grasp huge data? What does "big" data make and how are … [Read more...] about Big Data In Project Management – Benefits and Importance
Data Swamps and The Tragedy of The Commons
A silent alarm rings in my head whenever I hear someone utter the phrase, "data is everyone's responsibility." You can just as easily translate this to mean that "data is no one's responsibility," too. This, readers, is what I call the "data tragedy of the commons." Here's why. The term tragedy of the commons comes from economic science and refers to situations where a common … [Read more...] about Data Swamps and The Tragedy of The Commons
How Data Analytics is Changing the Game for the Insurance Industry
 Author: Mohana Bhrugubanda - Senior Vice President, Head of North America Business, Polestar Solutions The age-old insurance industry is finally ripe for transformation given the use of technologies such as data analytics, AI-ML, etc. ensuring an overall digital-first approach. The powerful new combination of technologies and design can enable businesses to drive … [Read more...] about How Data Analytics is Changing the Game for the Insurance Industry
Assuring Data Quality: How to Build a Serverless Data Quality Gate on AWS
Data is a vital element in business decision-making. Modern technologies and algorithms allow for processing and storage of huge amounts of data, converting it into useful predictions and insights. But they also require high-quality data to ensure prediction accuracy and insight value. In today's world, the importance of data quality validation is hard to overestimate. For … [Read more...] about Assuring Data Quality: How to Build a Serverless Data Quality Gate on AWS
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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.
