When we spend money on a business, it is standard to think “ what it will cost and how much will I get back from the investment, right? Answering the WIIFM: What's in it for me? is the norm for any business. The best way to look at this question is to find a means for an effective product return. A successful product return strategy and its implementation results in lowered … [Read more...] about The Significance of Product Quality Analytics for an Increased ROI
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.
Samsung works its way into European 5G race to fill Huawei gap
By Isla Binnie, Supantha Mukherjee and Mathieu Rosemain MADRID/STOCKHOLM/PARIS (Reuters) - European mobile operators are starting to consider Samsung Electronics, long seen as a non-starter, in the race to replace China's Huawei as the supplier of their fledgling 5G systems, although early talks suggest it will still be an uphill struggle. After Samsung unexpectedly landed a $6 … [Read more...] about Samsung works its way into European 5G race to fill Huawei gap
5 Compelling Alternatives to Hashicorp Vault
When it comes to secrets management, Hashicorp Vault is one of the first things that come to mind. This secret and sensitive data protection system is a popular choice for many organizations with its ability to connect to various DevOps and Orchestration platforms and encryption-as-a-service features. One of the main reasons you might want to consider an alternative would be … [Read more...] about 5 Compelling Alternatives to Hashicorp Vault
How to Build a Lean AI Startup
NYT bestselling authors and impact-driven entrepreneurs share how to build a lean AI startup. This article will share insights on the art of building lean startups that change society for the better and leave a positive impact on the planet. There are hundreds of use cases where AI can help to do exactly this. Impact-driven startups have the potential to solve real-world … [Read more...] about How to Build a Lean AI Startup
Accelerating Data Engineering in the Cloud with Infrastructure as Code
Now that we're aware of the existence of big data, everyone wants to extract valuable information from it. For companies, this could mean any number of advantages in the market. That's why so many enterprises, both big and small, are looking for data scientists. You see, data scientists are the ones who can analyze big data and make sense of it, but even they can't do … [Read more...] about Accelerating Data Engineering in the Cloud with Infrastructure as Code
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.