I recently had someone ask me, For years weve talked about changing analytics from 80% data prep and 20% analytics to 20% data prep and 80% analytics, yet we still seem stuck with 80% data prep. Why is that? It is a very good question about a very real issue that causes many people frustration. I believe that there is actually a good answer to it and that the perceived lack of … [Read more...] about Data Preparation: Is the Dream of Reversing the 80/20 Rule Dead?
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 Big Data Takes the Retail Industry to a Whole New, More Informed Space
This article is sponsored by CloudMoyo - Partner of choice for solutions at the intersection of Cloud & Analytics. Speculation around the future of retail often tends to drift into visions of drones flying through the skies and delivering packages within minutes of a consumer clicking a few buttons on a site. In this projection, the bricks and mortar retail stores are … [Read more...] about How Big Data Takes the Retail Industry to a Whole New, More Informed Space
How Big Data is Changing the World Around Us
Developing technologies and new businesses demonstrate the power of big data and how it has come to define our lives in the modern world. From saving more lives to selling expensive stuff, it is big data which has been helping individuals, businesses and governments to find out new world solutions to problems. So what is big data about? As implied, it is a collection of huge … [Read more...] about How Big Data is Changing the World Around Us
Big Data in the Face-paced World of Finance
In 1998 the SEC began to allow online trading of financials securities. It took traders very little time to realize that data, and lots of it, was going to be absolutely essential to making money. Some firms realized that a tiny advantage in data, be it in speed of transfer or quality of data, could lead to huge increases in profits and revenue. Thus began high-speed and … [Read more...] about Big Data in the Face-paced World of Finance
How a Global Gaming Company Used Data Analytics to Stay Ahead of Rivals
It may be in the entertainment domain but Wargamings data analytics operations are as humongous as that of any Fortune 500 company. Wargaming is a leader in the free-to-play Massively Multiplayer Online (MMO) game market across all gaming platforms PC, console and mobile. Just to get a grasp of the enormity of its operations here are some figures: It has a user base of 150 … [Read more...] about How a Global Gaming Company Used Data Analytics to Stay Ahead of Rivals
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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.
