Horizontal integration was initially a term used in the realm of business. According to Investopedia, it refers to a merger between multiple companies that offer the same level on the value chain, a measure of where in the scheme of production a particular business exists. Horizontal integration has found its way into the realm of data analytics and stands at the cutting edge … [Read more...] about Why Horizontal Integration Is Important In Data Analytics
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.
The Rise of Digitalism: Will the Coronavirus Trigger the End of Liberalism?
Don't waste a crisis “ M.F. Weiner, 1976 A famous quote that has often been linked to Winston Churchill in the form Never let a good crisis go to waste . Whoever said it, there is a truth to it, and also now we see governments around the world using the crisis to make changes which could outlast the current crisis: The emergency law' just accepted in Hungary will allow Viktor … [Read more...] about The Rise of Digitalism: Will the Coronavirus Trigger the End of Liberalism?
What’s the Difference Between Product Data Management and Master Data Management?
The modern business world revolves around data. So much so that, as of 2018, 67.9% of Fortune 1000 companies had a Chief Data Officer (CDO), up from 12% in 2012. More and more companies are starting to realize the importance of gathering and analyzing data. As data processing becomes more prominent, you'll see terms like "product data management" and "master data management." … [Read more...] about What’s the Difference Between Product Data Management and Master Data Management?
Big Data Analytics – Will It Be Enough to Save Forex Traders During the COVID-19 Crisis?
As the novel coronavirus continues to devastate communities around the world, we are beginning to see an equally serious and equally devastating impact - that of the economic fallout sure to follow this once-in-a-lifetime health crisis. The disruption to international trade and commerce is not unprecedented, though at this stage there is no knowing how things will end up. The … [Read more...] about Big Data Analytics – Will It Be Enough to Save Forex Traders During the COVID-19 Crisis?
Can Big Data Analysis Help to Solve the Coronavirus Pandemic?
Marketing and user experience studies are among those that have been conducted via big data analysis. More recently, a variety of companies in the insurance sector have relied on this information to help them make data-driven decisions. However, it now looks like computer scientists are applying this technique toward the fight on coronavirus. Media pundits have focused on the … [Read more...] about Can Big Data Analysis Help to Solve the Coronavirus Pandemic?
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.