The study of statistics is a thousand years old. Artificial intelligence and data mining have been around for decades. The terms 'data science' and 'data scientist' are very young being coined in the early 2000s. Today, actionable data has become a critical decision-making tool for businesses of all sizes. The job market reflects data's increasing importance. LinkedIn has over … [Read more...] about Top 4 Foundational Skills for Data Scientists
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.
In brief: What is Data Monetization?
In almost all that we do these days data is being generated and collected. Organizations are gathering vast amounts of data; from internal billing and payment systems, customer service reports, marketing analytics, and product and services usage to media-generated information about the company, customers and its competitors. All of this data is required for businesses to run. … [Read more...] about In brief: What is Data Monetization?
4 Telling Signs That Your Business Would Benefit From a BI Solution
Business data, when properly collected and analyzed, can help us do a lot of things. It can help us track the performance of our business. It can help us predict upcoming trends. It can help us meet customer needs more effectively, and increase sales. Many businesses, however, are not benefiting from the data they are collecting. With the emergence of new Business Intelligence … [Read more...] about 4 Telling Signs That Your Business Would Benefit From a BI Solution
Why Start a Data Science Project with Exploratory Data Analysis?
How to ensure you are ready to use machine learning algorithms in a project? How to choose the most suitable algorithms for your data set? How to define the feature variables that can potentially be used for machine learning? Exploratory Data Analysis (EDA) helps to answer all these questions, ensuring the best outcomes for the project. It is an approach for summarizing, … [Read more...] about Why Start a Data Science Project with Exploratory Data Analysis?
Working Smart with Big Data: What Enterprises Need to Know
Big Data along with IoT and Machine Learning, is all already helping enterprises undergo huge transformation and disrupting industry verticals and horizontals. By now, it is safe to say that Big Data has arrived, although it is still early days. As invincible as it seems, there's still a chink in the Big Data armor of several enterprises. According to a report from … [Read more...] about Working Smart with Big Data: What Enterprises Need to Know
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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.
