Big Data has arrived, but big insights have not. •Tim Harford, an English columnist and economist A decade on, big data challenges remain overwhelming for most organizations. Since big data' was formally defined and called the next game-changer in 2001, investments in big data solutions have become nearly universal. However, only half of companies can boast that their … [Read more...] about Top 5 big data challenges and how you can address them
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.
Top aspects for Starting a Career in data engineering
Big data has benefitted many individuals to get high-salary careers. Big data professionals have a huge market demand in the current market. Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn. -Forbes What is data engineering? Data engineering is the process of developing and building systems for collecting, … [Read more...] about Top aspects for Starting a Career in data engineering
Getting Started with Tableau Prep Builder Prepping and Cleaning Data
The core purpose of the Tableau Prep Builder is data preparation. The good news is, Prep is fully compatible with Tableau Desktop, and also with Tableau Server. That means you can execute jobs in Prep to clean your data with the click of a button. Additionally, Prep is as visual as its big brother, Tableau Desktop, meaning that you can see every step of data preparation in a … [Read more...] about Getting Started with Tableau Prep Builder Prepping and Cleaning Data
Power of AI In the Retail Sector
Artificial Intelligence (AI) is making inroads into almost every modern industry, and retail is no different. A published study predicted that by the year 2023, the retail sector would typically spend $12 billion on AI. There realistically are several possible reasons for this, but majorly it is because this advanced technology helps in progressively improving productivity … [Read more...] about Power of AI In the Retail Sector
Leveraging Insurance Analytics for More Strategic Value
Smart, digital solutions are driving results across all value chains of various industries. And the insurance sector is also witnessing this overhaul. As data becomes more ubiquitous, it is laying the foundation for a data-based ecosystem that can source insights from data - be it from customers, agencies, or even assets. However, such a framework of extracting meaning from … [Read more...] about Leveraging Insurance Analytics for More Strategic Value
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.