Technological progress has always led to heated debates about the threats a new technology would pose for society and humanity. When in the 15<sup>th</sup> century printing press was invented, monks viewed easily available books that were unapproved by the church as a threat to their control over learning. The respected Swiss scientist, Conrad Gessner, feared that … [Read more...] about Why Big Data Privacy Will Be Self-Regulating
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.
Four Guidelines How To Approach Mobile Big Data
By the end of 2013, 1.4 billion smartphones will be in use by consumers from around the world. Around 2015, Gartner predicts that more tablets will be sold than PCs worldwide and in 2017 1.75 tablets will be sold for every PC. The growth of smartphones is not only in the Western world. 75% of all new smartphones will be sold in Africa and Asia. The mobile era is upon us and … [Read more...] about Four Guidelines How To Approach Mobile Big Data
Ayasdi Uses Topological Data Analysis To Provide Insights
Company Ayasdi Address 636 Ramona Palo Alto, CA, 94301 USA Founders Gunnar Carlsson, Gurjeet Singh & Harlan Sexton Founded 2008 Funding $ 41.25 million Employees 30 Website www.Ayasdi.com Rating 7 bits  Ayasdi was launched in 2008 but is based on 10 years of research at DARPA, Stanford and NSF. From 2000 to 2008 one of the founders, dr. Gunnar Carlsson … [Read more...] about Ayasdi Uses Topological Data Analysis To Provide Insights
The Nike+ Gamification Platform Delivers Valuable Big Data Insights
Nike turned the most uncomplicated sports in the world, running, into a data-driven social sport that gives users access to tons of data about their personal achievements. Runners can use this data to become better at running, resulting in a healthier lifestyle. In addition, Nike gives software developers open access to this data. This Nike+ Accelerator initiative encourages … [Read more...] about The Nike+ Gamification Platform Delivers Valuable Big Data Insights
Vitria Offers Companies Continuous Real-Time Insight
Company Vitria Address 945 Stewart Drive, Suite 200 Sunnyvale, CA, USA Founders Dr. JoMei Chang & Dr. Dale Skeen Founded 1994 Funding Unknown Employees 157 Website www.Vitria.com Rating 8 bits  Vitria Operational Intelligence provides continuous real-time visibility in big data, complex events, business processes, security issues and social media … [Read more...] about Vitria Offers Companies Continuous Real-Time Insight
+
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.
Want to learn more about big data? Datafloq has courses available. Contact us to get started.
+
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.
