On many occasions, companies have real problems in responding to the changing market and customer needs. Although we know that adaptability is not the only secret, productivity and anticipation are often necessary. Increasingly, digitalisation is a necessary step for positioning, but it is not enough. That is why we refer to digital maturity when we believe that the company is … [Read more...] about Digital Maturity: keys to business success
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 is Data Quality Measured?
In the age of information, we continuously have to deal with more and more data. For a contemporary business, data is as necessary as any physical material that is used, if not more. And as with anything else that businesses use or produce, what matters is quality. However, data quality might seem a little trickier to grasp than the quality of more traditional products and … [Read more...] about How is Data Quality Measured?
7 Ways Automation and Machine Learning Will Change Google Ads
In 2017, Google's CEO, Sundar Pichai, announced their shift toward an AI-first future. For digital marketers, ML and AI technologies can be a game-changer. With artificial intelligence, advertising platforms can collect user data and help companies connect with target audiences more effectively. They minimize menial tasks and help you create data-driven and relevant ads. Here … [Read more...] about 7 Ways Automation and Machine Learning Will Change Google Ads
Data to Intelligence – Accelerate Business Insights for Intelligent Decision
Today, the world has entered into a realm where Data is omnipresent in every action that is taken by anyone on the planet. With the rapid speed of digitalization, the entire ecosystem of commerce & trade practices is continuously evolving. Organizations at all levels are churning out phenomenal amounts of data without realizing the potential it carries with it. For large … [Read more...] about Data to Intelligence – Accelerate Business Insights for Intelligent Decision
Human Participation – Still an indispensable element in Business Analytics
Business Analytics has evolved a lot. Business Analytics was designed for addressing the need for deriving intelligence out of data', which is nowadays referred to affectionately by many as the crude oil' or gold ore' of modern times. Business Analytics synergizes the strengths of various sciences including data mining, knowledge discovery, machine learning, pattern … [Read more...] about Human Participation – Still an indispensable element in Business Analytics
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.