The film Moneyball, released in 2011 and based on a true story, introduced the world of analytics to sports. Now big data analytics has arrived in the English Premier league. However, football is a much more dynamic game than baseball and thus analytics is a lot more difficult. The correspondents from The Economist discuss how big data can be applied and is already applied in … [Read more...] about How English Football Clubs Score With Big Data Video
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.
Gartner Tempers The Expectations Of Big Data
Gartner just released the new Hype Cycle for Emerging Technologies of 2013 and one of the remarkable items on this year's Hype Cycle for Emerging Technologies is that Gartner tones down the expectations of big data. In the 2012 edition of the Hype Cycle for Emerging Technologies, Gartner predicted that it would take 2-5 years before big data would reach the plateau of … [Read more...] about Gartner Tempers The Expectations Of Big Data
Librato Offers a Cloud-Based Service For Devops
Company Librato Address 605 Market Street Ste 1310 San Francisco CA 94105, USA Founders Joe Ruscio and Fred van den Bosch Founded June 2011 Funding $ 5 million Employees 12 Website www.Librato.com/ Rating 7 bits If operations metrics are important to you, Librato is a big data startup that should have your attention. They offer a cloud-based service for … [Read more...] about Librato Offers a Cloud-Based Service For Devops
Appnomic Systems Brings Big Data Analytics to IT Operations
Company Appnomic Systems Address 2953 Bunker Hill Lane, Suite 400 Santa Clara, California 95054 Founders Padmanabhan Desikachari & Alton Viegas Founded December 2008 Funding $ 12 million Employees 484 Website www.Appnomic.com/ Rating 8 bits The Bangalore-headquartered big data startup Appnomic Systems brings big data analytics to IT operations. They have … [Read more...] about Appnomic Systems Brings Big Data Analytics to IT Operations
How Should Retailers Harness Big Data – video
Big data can provide retailers with valuable information to improve their business; from buying patterns to what their customers are looking for. Big data in the retail industry is often closely linked to the data coming from point-of-sales systems. As research has shown that 37% of all retail sales are driven by some sales offer. So if you can improve these offers with big … [Read more...] about How Should Retailers Harness Big Data – video
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.