 Company Synerscope Address Innovation Lab, Horsten 1 5612 AX Eindhoven, The Netherlands Founders Jan-Kees Buenen & Danny Holten Founded March 2011 Funding 1 million Employees 11 Website www.Synerscope.com Rating 6 bits Synerscope is a Dutch big data startup that focuses on making big data visible for everyone. It is based on academic research done by … [Read more...] about Synerscope Helps to Detect Fraud Using Unique Visualizations
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.
DataMarket Offers a Big Data Marketplace for (open) Data Sets
 Company DataMarket Address <a href="https://www.google.nl/maps/place/245+First+Street,+Suite+1800+Cambridge,+MA+02142+U.S.A./" target="_blank">245 First Street, Suite 1800 Cambridge, MA 02142 U.S.A. Founders Hjlmar Gislason Founded June 2008 Funding $ 1.2 million Employees 12 Website www.DataMarket.com Rating 6 bits DataMarket, from origin an … [Read more...] about DataMarket Offers a Big Data Marketplace for (open) Data Sets
Rolls Royce Shifts In Higher Gear With Big Data
Rolls Royce, the engine manufacturer and not the car manufacture, takes big data to a higher gear with their Rolls-Royce Engine Health Monitoring Unit. All engines of Rolls Royce, be it for aircrafts, helicopters or ships, are equipped with sensors that collect data from different components, systems or sub-systems within the engines. This information is analysed by algorithms … [Read more...] about Rolls Royce Shifts In Higher Gear With Big Data
Trifacta Develops A Productivity Big Data Analytics Platform
Company Trifacta Address 290 King St Suite 10 San Francisco, CA, 94107 USA Founders Joe Hellerstein, Jeffrey Heer & Sean Kandel Founded January 2012 Funding $ 4.3 million Employees 3 Website www.Trifacta.com Rating 7 bits  Trifacta tries to solve the biggest problem of big data that awaits us in the coming years: the shortage of big data scientists and big … [Read more...] about Trifacta Develops A Productivity Big Data Analytics Platform
Big Data Ownership – Who Owns Your Data?
The digital universe is expanding at a rate of 1 exabyte per day (that is the equivalent of 250 million DVDs!) and we are all responsible for this growth. Apart from the data that is not made publicly available, every day we like, we tweet, we comment, we share, we blog and we publish information on the web. We do this via our smartphone, tablet, laptop or computer and quite … [Read more...] about Big Data Ownership – Who Owns Your Data?
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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.
