 Company QunB Address 82 rue du Faubourg Saint-Martin Paris, 75010 France Founders Cyrille Vincey & Jean-Baptiste Thard Founded May 2011 Funding $ 500k Employees 10 Website www.qunb.com Rating 4 bits QunB has developed a platform for companies and consumers to find and visualize datasets that are relevant to them. The charts and graphs created can be … [Read more...] about QunB Tells Stories From Web Analtyics
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.
Origami Logic Develops a User-Friendly Data Experience
Company Origami Logic Address 420 Florence St. Suite 300 Palo Alto, CA, 94301 USA Founders Ofer Shaked, Alon Amit & Opher Kahane Founded 2012 Funding $ 9.3 million Employees 3 Website www.origamilogic.com Rating 5 bits  Origami Logic, at the moment in limited alpha, has recently received $ 9.3 million in funding to further develop their product for visual … [Read more...] about Origami Logic Develops a User-Friendly Data Experience
Chart.io Uses Big Data To Make Better Intuitive Decisions
Company Chartio Address Founder's Den 665 3rd Street San Francisco, CA, 94117 USA Founders Dave Fowler Founded June 2010 Funding $ 4.44 million Employees 6 Website www.chartio.com Rating 6 bits  Chart.io, a big data startup born in YCombinator, aims to help companies make better decisions with intuitive and real-time analytics. Their analytics platform allows … [Read more...] about Chart.io Uses Big Data To Make Better Intuitive Decisions
Big Data Startup Datahero Is All About Big Data Visualizations.
Company Datahero Address 395 Page Mill Road, 3rd Floor Palo Alto, CA USA Founders Jeff Zabel Founded November 2011 Funding $ 1 million Employees 3 Website www.datahero.com Rating 5 bits  Datahero is all about visualizations; users can upload a dataset and the Datahero tool does the rest. Datahero will provide the user with fast and clear visualizations that … [Read more...] about Big Data Startup Datahero Is All About Big Data Visualizations.
Duetto Research uses Data to forecast Hotel Demand & Prices
Company Duetto Research Address 649 Mission St, Suite 560 San Francisco, CA, 94105 USA Founders Marco Benvenuti, Patrick Bosworth & Craig Weissman Founded February 2012 Funding $ 12.1 million Employees 5 Website www.duettoresearch.com Rating 6 bits  The first product of Duetto Research is a SaaS application helping hotels forecast demand, set prices and … [Read more...] about Duetto Research uses Data to forecast Hotel Demand & Prices
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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.
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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.
