Data is the fuel of the modern organisation. As it's proliferated across the enterprise, more people are integrating it into their business and operational decisions. This means that having a robust data management strategy and infrastructure is critical for the success of every data-driven business. Nevertheless, data management remains a fundamental challenge to solve even … [Read more...] about Why Data Management remains a challenge in the Data and AI-first era
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.
Reputation Optimisation: How Big Data Can Help Brands Build Their Reputation Online
While reputation management for some businesses may revolve around accumulating favourable reviews and online ratings, other companies are beginning to adopt an altogether wider focus for their on the upkeep of consumer perceptions online. There is no brand in the world that exists without any customer issues. With this in mind, it's highly beneficial for companies to invest in … [Read more...] about Reputation Optimisation: How Big Data Can Help Brands Build Their Reputation Online
Data Analytics and Customer Experience in 2021
Data analytics has been the buzzword for a very long time. No matter which industry you look forward to, you will find organizations chasing data analytics. But, as the world chases the technology now more than ever we need to dig down to understand if it is worth it. It is imperative to understand that data analytics has existed for a long time and the top tier companies in … [Read more...] about Data Analytics and Customer Experience in 2021
How Big Data Is Helping to Solve Climate Change
Climate change is intensifying, as evidenced by the increased frequency and severity of natural disasters in recent years. As bad as the situation has gotten, it could get much worse, eventually impacting the availability of food. According to a recent Forbes article, The 2.0-degree Paris Agreement threshold [...] is a level where [...] we will start to see serious damage to … [Read more...] about How Big Data Is Helping to Solve Climate Change
Trends to Watch Out For Data Science In 2020
Publish Date: 24-Feb-2020 2019 was a big year for not only data science, artificial intelligence (AI), and big data, but also all the technologies related to it. Organizations from around the world, across a broad range of industries, have been undergoing a major shift and transition what people are referring to as a digital transformation. That implies, companies are taking … [Read more...] about Trends to Watch Out For Data Science In 2020
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.