As data complexity reaches new highs and data sets changing by the nano-second in structured, unstructured, and semi-structured formats, erstwhile Business Intelligence and Analytics methods fall short. Advanced Analytics and Data Sciences allow enterprises, business entities, and national security groups to navigate and drill through the augmented data and sense emerging … [Read more...] about Leverage Dynamic Decision Making with Advanced Analytics and Data Sciences
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.
Challenges in Handling Data for Machine Learning
Whoever says that handling data is an easy job, hasn't met a data scientist. Data scientists perform the core job of handling massive data sets and creating meaningful machine learning models. Often, data is unstructured and highly inaccurate; in that case, identifying the data essentials for the ML model is among the persistent issues faced by data scientists. Data scientists … [Read more...] about Challenges in Handling Data for Machine Learning
Science & the Sports: How Science Behind the Sports Can Improve Your Game!
Have you ever wondered how the pros are able to play so well? Well, it's not just because they're talented. In fact, there is a lot of science behind sports that can help you improve your game! Did you know that in soccer, when players use their ankle muscles to quickly change direction while sprinting up and down the field, this improves their endurance? And did you know that … [Read more...] about Science & the Sports: How Science Behind the Sports Can Improve Your Game!
A Lesson In Effective Innovation From Amazon
I recently hosted a private event put on by Amazon Web Services for CDOs and CAOs. I interviewed Jeff Carter, a former Teradata executive and colleague who has been at Amazon for several years now in various senior leadership roles, first at Amazon.com and now at Amazon Web Services. It was a lively discussion and one of the topics, which I'll discuss here, has stuck with me … [Read more...] about A Lesson In Effective Innovation From Amazon
Driving Improved Decisions with Data Analytics
Data is an invaluable resource for companies to streamline their strategic priorities and achieve business objectives. Information overload brings the dire need to accumulate relevant data and gather useful insights that can drive better decision-making in the organization. Today, companies focus on making their business processes more efficient with the help of data and … [Read more...] about Driving Improved Decisions with Data Analytics
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.