Having a lot of data pouring into your organisation is one thing, being able to store it, analyse it and visualize it in real-time is a whole different ball game. More and more organisation want to have real-time insights in order to fully understand what is going on within their organisation. What are the advantages ofReal-Time Big Data Analytics and what are the challenges … [Read more...] about The Advantages and Disadvantages Of Real-Time Big Data Analytics
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.
T-Mobile USA Cuts Downs Churn Rate By 50% With Big Data
Telecom organisations are known from collecting massive amounts of data. Everything that customers are doing is registered: how long and when people call, direct messaging peaks, internet usage and so on. These are just some of the metrics being captured and if you have 33 million customers, as T-Mobile USA does, we are talking serious big data. Strangely enough, not many … [Read more...] about T-Mobile USA Cuts Downs Churn Rate By 50% With Big Data
Big Data Startup Statilizer Offers Social Media Data Analytics
Company Statilizer Address Hooghiemstraplein 132 3514 AZ Utrecht The Netherlands Founders Godfried van Loo Founded November 2012 Funding 0 Employees Unknown Website www.Statilizer.com Rating 3 bits Statilizer is a Dutch Big Data startup that offers social media analytics on demand and allows users to perform big data analysis on social media data for better … [Read more...] about Big Data Startup Statilizer Offers Social Media Data Analytics
Trucking Company US Xpress Drives Efficiency With Big Data
How do you make a snapshot of a large trucking company to understand what is going on in the organisation? By combining 900 different data elements from 10.000s trucking systems such as sensors for petrol usages, tyres, brakes, engine operations, geo-spatial data and driver comments across a fleet of 8.000 tractors and 22.000 trailers into one Hadoop Database and analyse it in … [Read more...] about Trucking Company US Xpress Drives Efficiency With Big Data
Synerscope Helps to Detect Fraud Using Unique Visualizations
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
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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.
