In the old days IT was about saving money, while Big Data is about making money. If Big Data is about making money, it is about creating value and value should be placed on the balance sheet as an asset. A recent study by SAS showed that around 20% of the large UK companies are already assigning financial value to their data on the balance sheet of the company, so more … [Read more...] about How to Define Big Data On Your Balance Sheet
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 Amazon Is Leveraging Big Data
Amazon has an unrivalled bank of data on online consumer purchasing behaviour that it can mine from its 152 million customer accounts. Since many years, Amazon uses that data to built a recommender systems that suggest products to people who visit Amazon.com. Already in 2003 they used item-item similarity methods from collaborative filtering, which was at that time … [Read more...] about How Amazon Is Leveraging Big Data
Packetloop Is A Big Data Security Analytics Platform
Company Packetloop Address Suite 8.06 70 Pitt St Sydney, 2000, Australia Founders Tyson Garrett, Scott Crane & Michael Baker Founded May 2011 Funding $ 0 Employees 5 Website www.arbornetworks.com Rating 6 bits  With big data come big security issues. The more data that is available, the more data that needs protection. At the moment only half of the … [Read more...] about Packetloop Is A Big Data Security Analytics Platform
Does Big Data mean Big ROI For Your Organisation?
Big data, like every new technology, needs to be sold to the management in order to be implemented and, like every other technology, needs to show what the return of the investment will be. Many organisations believe that a Big Data strategy requires a big investment with unknown results. Although McKinsey stated that companies using Big Data can increase their operating margin … [Read more...] about Does Big Data mean Big ROI For Your Organisation?
Geckoboard Offers a Real-Time Analytics Dashboard
 Company Geckoboard Address Unit 310, Curtain House, 34-146 Curtain Road, London, EC2A 3AR, United Kingdom Founders Paul Joyce & Rob Hudson Founded 2010 Funding $ 1.8 million Employees 25 Website Geckoboard Rating 7 bits Geckoboard is a data communication tool that connects to all your data sources and displays your most important metrics on a … [Read more...] about Geckoboard Offers a Real-Time Analytics Dashboard
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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.
