Data is the fuel that powers almost all business decisions, processes, and functions. So, it is rightly called the 'new oil'. Whether you are considering digital transformation or not, data collection is a vital aspect that must not be brushed off-especially if you want to gain insights, perform trend analysis, make forecasts, and manage the bottom line in a way that creates … [Read more...] about How Web Data Collection Function Increases Productivity and Business Efficiency?
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 Extend Virtual Routers to Data Centers
The digital transformation of the world extends to the physical infrastructure that runs our networks. Virtual routers are something that CIOs and CFO can get behind, because they make processes more streamlined, and they are more cost-effective than physical routers. Indeed, 5G standards require some shift to virtual routers. It's important for businesses to put in place … [Read more...] about How to Extend Virtual Routers to Data Centers
Top 5 Ways Poor Data Quality is Sabotaging Businesses
Information is called the oil of the 21st century. Every business collects data about their customers including their names and addresses, phone numbers, email addresses, order history and preferred payment modes. However, it isn't the amount of data collected that determines its usefulness but the quality of this data. If your data doesn't match high-quality standards, it … [Read more...] about Top 5 Ways Poor Data Quality is Sabotaging Businesses
Data Storytelling and Visualisation: A Practical Approach
The insurance industry often has a reputation as boring and fear-inducing. However, many companies have learned that new technology can help them tell their stories more creatively and become more customer friendly, which ultimately becomes a win-win for everyone. With the number of policies increasing every year, there is an increasing demand for communicating with customers … [Read more...] about Data Storytelling and Visualisation: A Practical Approach
Data Quality: the Silent Assassin of the Modern Data Stack
If data is the new oil, then high-quality data is the new black gold. Just like with actual oil, if you don't have good data quality, you're not going to get very far. In fact, you might not even make it out of the starting gate. So, what can you do to make sure your data is up to par? Data lakes, Data pipelines, and Data Warehouses have become core to the modern enterprise. … [Read more...] about Data Quality: the Silent Assassin of the Modern Data Stack
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.