The past decade has seen major strides in the IT industry with cloud computing, blockchain and big data emerging as successful trendsetters for more innovation. According to a study led by EMC and Cap Gemini, 65% of big companies have estimated that they run the risk of becoming obsolete if they do not adopt adequate Big Data analytics solutions to support their modern data … [Read more...] about Why You Should Set Up a Big Data Environment Before Seeking AI
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.
8 Ways How Big Data Changes Marketing
Today's most successful companies and businesses depend on big data and analyse it to increase the quality of their customer experience. The information stored in the cloud, bookmarked URLs and new data streaming in every second from all over the world accumulate into what is referred to as big data. Business intelligence relies entirely on the analysis and interpretation of … [Read more...] about 8 Ways How Big Data Changes Marketing
How Big Data is Helping Social Workers Know Where to Focus
Social workers play an important role into how society shapes itself for the future. They make sure children, families, and adults could survive, thrive, and interact with local communities. Most social workers spend their time trying to help people in lower income communities get whatever help they need, to improve their quality of life and decrease crime. The problem is, … [Read more...] about How Big Data is Helping Social Workers Know Where to Focus
How to Create an Intelligent Company
Nowadays, companies are besieged by information and the possibilities of new IT solutions. With the rapid advancements in information technology and high-speed Internet, companies now have access to huge amounts of information, processing and sharing systems regarding customers, their demographics, and their online behaviour across all touch points on the buyer's journey. The … [Read more...] about How to Create an Intelligent Company
The Four Types of Data Analytics
Terms like business intelligence and data analytics mean different things in different contexts and the only way to hack through the Forest of Jargon is with a Machete of Specificity. Whether you're building an analytics tool, shopping for a business intelligence application, or just looking to get a better handle on IT terms, it's useful to be familiar with the analytics … [Read more...] about The Four Types of Data Analytics
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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.
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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.
Want to learn more about big data? Datafloq has courses available. Contact us to get started.
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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.
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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.
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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.
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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.
