As enterprises grow, they often find it challenging to keep their teams aligned with the proper responsibilities, duties, and powers. The only way to deal with this dilemma is to provide adequate support to all team members as they find their pacing. However, it isn't straightforward to drive effective business results in the meanwhile. Finding your OKRs, or Objectives and … [Read more...] about How To Leverage Data from OKRs Effectively To Drive Business Results
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 Intelligence: What to Look for in a BI Solution
With the increasing trend in enterprises becoming data-driven, business intelligence is becoming more integrated into business processes and is more vital to the success of an enterprise now more than ever before. Recent studies state that 90% of the world's total data was generated within the last two years. This has plunged many organizations into an information overload, … [Read more...] about Business Intelligence: What to Look for in a BI Solution
The Travel-Tech Start-up, Seeking to Solve the Tourism Data Challenge.
Since 2006 the travel industry has benefited from the General Transit Feed Specification (GTFS), a standard for how data is accessible across industry stakeholders. This has opened up services like Google Maps to clearly show users how to get from A to B in the most efficient way. Unfortunately, this level of standardised data does not exist in the third largest sector of the … [Read more...] about The Travel-Tech Start-up, Seeking to Solve the Tourism Data Challenge.
An examination of the analytics model and transformation from traditional analytics to AI analytics
The field of analytics has witnessed a paradigm shift and transformation in the last few years. Credit goes to the techniques of artificial intelligence and machine learning that have brought about this change and transformation. What used to be data analytics in the past has now become AI Analytics. But AI Analytics is not a mere integration of data analytics with artificial … [Read more...] about An examination of the analytics model and transformation from traditional analytics to AI analytics
How Cloud Usage is Fueling the Shift in Big Data Analytics
Many organizations are in the middle of modernizing their IT infrastructure and data centers to combine public and private cloud services most suitable to them and build a hybrid cloud system. Building a hybrid cloud with a hyper converged infrastructure and centralized software to manage it all offers numerous benefits to most organizations. According to the Nutanix 2021 Cloud … [Read more...] about How Cloud Usage is Fueling the Shift in Big 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.