Organizations all over the EU must be aware by now that the Data Protection Act (DPA) will be changed into GDPR (General Data Protection Regulation). Some of these changes might cause some compliance issues but there's an easy way to avoid any problems, by raising awareness. The more your staff and employees know about GDPR, the less chances you have, of ever violating the … [Read more...] about GDPR A Change in the Making
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.
Business Analytics in the Cloud: Is Sky the Limit?
Every organization embraces analytics to gather, analyze and interpret data to make strategic business decisions at some point in time. As technology evolves and the amount of data grows exponentially, the need to leverage scalable, cost-effective infrastructure is becoming imperative. With the growing adoption of big data and cloud computing, the use of off-premise analytics … [Read more...] about Business Analytics in the Cloud: Is Sky the Limit?
The Unsurpassed Power of the IIoT (Industrial IoT), Provided You Have the Right Partner!
Talking about the IIoT could be summed up as referring to the presence of sensors in the industry. However, it would be to miss the essential, the incredible possibilities offered by this area of future, on the condition of having partners able to respond to the projects. The IIoT (Industrial IoT) - the Internet of objects in the industry - suffers from a classic phenomenon in … [Read more...] about The Unsurpassed Power of the IIoT (Industrial IoT), Provided You Have the Right Partner!
Digital Transformation Starts with Customer Experience
I attended the interview with Nick Drake, Senior Vice President, Direct to Consumer at T-Mobile and Otto Rosenberger who serves as CMO at the Hostelworld Group at the Adobe Summit. The key take away of the entire session was that customer experience is the beginning and the core of digital transformations “ it is where it all begins. T-Mobile and Hostelworld are completely … [Read more...] about Digital Transformation Starts with Customer Experience
Six Biggest Hadoop Mistakes and How to Avoid Them
Cluster and cloud computing have dominated the high-performance computing arena, with many IT professionals heading to get trained with the latest technologies. Hadoop is one such hot cake that is very much in use. Owing to the massive need for Hadoop professionals, many Hadoop training institutes have come up. But despite its popularity, it is not devoid of loopholes. Hadoop … [Read more...] about Six Biggest Hadoop Mistakes and How to Avoid Them
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.
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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.
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.