This is the 10-year anniversary of the opening of the App Store. The first apps released included a To Do list, Facebook and AIM app. All of these apps were developed specifically for the iPhone platform. Over the past ten years, this has been a recurring theme. Developers typically create their apps for a specific platform. If they plan to reach customers across different … [Read more...] about Predictive Analytics Sets a New Stage for Hybrid Mobile App Development
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 Big Data Can be Used for Social Good
In almost every industry these days, big data is one of the most critical components of progress and growth. This is true of big business, like Amazon, but it is also true in the world of an industry that works towards social good. Today we will examine a few social service applications that prove big data is for more than just the fortune five hundred companies of the world. … [Read more...] about How Big Data Can be Used for Social Good
The Advantages of Using Storage Tiering for Big Data
Big Data ”large amounts of information that inundates businesses at high-speed and in a variety of formats ”is increasingly being processed and stored for analysis by companies. Businesses understand that they can leverage technology to derive crucial insights from this data. Such insights can drive down costs, streamline operations, and lead to more informed decisions. This … [Read more...] about The Advantages of Using Storage Tiering for Big Data
How to Activate Customer Data in Business
To meet growing consumer expectations in a digitally-driven world, companies are dealing with large amounts of data and aim to create personalized consumer experiences at different touchpoints to stay relevant. The various consumer touch-points of an enterprise generate a wide variety of digital data and are also potentially great interaction points to improve an enterprises … [Read more...] about How to Activate Customer Data in Business
Applying Your Data Science PhD In Business
After years of working on your PhD and being in academia, transitioning into a Data Science career can be a culture shock. It's important to understand how the roles you want to apply to vary; what industry is it in? What is the main focus of the projects? Who will you be working alongside? What are the end goals the team would be working on achieving? Does your chosen industry … [Read more...] about Applying Your Data Science PhD In Business
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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.
