In the past years, big data has changed the way organisations and societies are operated and managed. Insights from all kinds of structured and unstructured data sources help improve organisations in a variety of ways. However, big data is not the only trend that has a significant impact on how organisations operate. Another major trend at the moment is gamification. … [Read more...] about Why Gamification is the Friendly Scout of Big Data
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.
How to Turn Big Data About Your Ecommerce Customers Into Smart Data that Drives Sales
It seems like you cant go anywhere today without hearing about the importance of big data. But eCommerce companies especially know the importance of the data revolution, simply because of how much of it is available to them. In a certain sense, the fact that all eCommerce companies now collect tons of data actually makes it both more and less important to them. More important … [Read more...] about How to Turn Big Data About Your Ecommerce Customers Into Smart Data that Drives Sales
Why Data Consolidation Is Imperative in 2017
The explosion of data, coupled with tools used to collect and analyze that data, has fundamentally transformed how we communicate, collaborate and innovate. Every employee now has access to some level of analytics, helping to guide strategic decision-making and processes. Yet, while weve made great strides in data democratization, businesses struggle to master data … [Read more...] about Why Data Consolidation Is Imperative in 2017
Is Your Data Integrity Causing You Fear, Uncertainty and Doubt?
You know those sales calls that you get from software companies, where the eager sales rep asks you what keeps you up at night? Claiming that their solution will integrate your existing systems, reduce your technology costs, generate powerful reports, and improve employee productivity? Seems like an information executives Utopian ideal, doesnt it? Whether that sales reps … [Read more...] about Is Your Data Integrity Causing You Fear, Uncertainty and Doubt?
How to Overcome Challenges With Dynamic Data
We have come a long way in terms of the technology and infrastructure required to handle big data processes. It is not uncommon for retailers to run big data tests on their customer database to identify patterns and trends in buying behavior. Similarly, businesses routinely run big data processes on their logistics and operations to optimize routes and improve their margins. … [Read more...] about How to Overcome Challenges With Dynamic Data
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.