By Dr. Enrique Segura, Speaker at INTERPOL World 2017, CEO & President, Securiport In 2016, global outbound travel exceeded $2 trillion, for the first time ever. Despite a marked increase in security threats, people all around the world still desired to travel and take vacations. However, the sheer volume of people crossing through borders daily has made it very difficult … [Read more...] about Taming information overload for effective border controls
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.
Effective Ways to Manage Your Reputation With Metrics and Data
Most people realize that reputation takes a long time to build but it can be tarnished overnight. Because of the speed with which those kinds of transitions happen, it's crucial for people and businesses to constantly practice reputation management. That can be done when people know what kinds of metrics relate to reputation and how to track them. Amplify the Positives and … [Read more...] about Effective Ways to Manage Your Reputation With Metrics and Data
How You Can Use Data to Improve the Customer Experience
When you want to improve user experience with your product, or when you want to improve customer experience with your service, how do you go about doing it? First, you might have a few meetings to identify what's causing users to have difficulties with your products or causing customers to complain about the quality of your service. Next, you might brainstorm some solutions and … [Read more...] about How You Can Use Data to Improve the Customer Experience
4 Reasons Startups Are the Future of Big Data
Big data may be a significant part of the future of all sorts of industries and businesses ” from information technology to marketing to construction to retail. While data has already changed a lot in recent years and is already having a significant impact, there's still a lot of room for it to grow. When it comes to taking the lead on the growth of big data, startups may play … [Read more...] about 4 Reasons Startups Are the Future of Big Data
What is Big Data and How Leading Organisations Are Playing Big with It?
Big data ¦ It is the buzzword we all have been hearing for a while, but what does it mean and how can it help businesses? Let's start with the definition. Big data refers to huge volumes and types of valuable information that companies accumulate through cutting-edge technology. The data is acquired from both, internal (within your company) and external sources (customers, … [Read more...] about What is Big Data and How Leading Organisations Are Playing Big with It?
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.