What-is-big-data
| | |

What is Big Data Analytics, and Why is it Important?

Byadmin

“Big Data” With its name itself, you might predict that it is a big one but  Have you ever wondered how big it is? Statistics report that 2.5 quintillion bytes of data have been created for each and every data. From Social media profiles to government ids to bank details and so on and on and on anything and everything, is Data. 

This process was initially founded centuries ago by John Graunt, who studied the bubonic plague and analyzed an overwhelming amount of data. Over the past few years, it has become a mainstream tool used by companies in many industries to make improved data-driven decisions and enhance business operations. 

Let’s Dig deep big data analytics and its importance in this blog. 

What are Big Data Analytics? 

Big data is a bulk volume of data driven from millions of sources and the technical way of processing that data to retrieve certain information like trends, insights, etc is termed as big data analytics.  

Big data analytics is the process of analyzing large amounts of data to extract insights that can be used to improve business operations. By understanding the current trends and patterns in big data, companies can make more informed decisions about allocating resources and optimizing their operations. 

To understand big data better consider Instagram., the popular social media platform holds 2 billion active users. Though the home page is perfectly customized for every user based upon metrics like following, followers, likes, etc.,  

How is it possible for them to customize the feeds and everything for the 2 billion users? Here is the big data analytics that comes in! 

Top Industrial Sectors using big data analytics 

From start-ups to enterprises, all businesses are using big data analytics, here is the list of top 10 industrial sectors utilizing the big data analytics the most 

  1. Banking
  2. Media
  3. Healthcare
  4. Education
  5. Manufacturing
  6. Insurance
  7. Transportation
  8. Entertainment
  9. Insurance
  10. Sports

No matter what sector you are in, big data analytics has emerged as an indispensable one, Get connected with our experts, you get a personalized consultation! 

Reach out now! 

Big Data Analytics tools 

Below are some of the popular big data analytics tools  

R Programing 

R programing is primarily designed for statistical analysis and scientific computing. It is widely used by data scientists. 

Altamira LUMIFY 

This tool helps you out with visualization. The particular thing with this tool is that it offers both 2D and 3D graphic visualization and also has interfacing elements for text, images and videos. 

Apache Hadoop 

It is used to run applications and store data. Apache Hadoop is considered as the software ecosystem that has the capacity to distribute massive amounts of data across hundreds of servers. 

MangoDB 

MangoDB is a robust tool that helps store bulk volume of data that is actually a NoSQL database. 

Rapidminer 

RapidMiner facilities user with the feature of multiple integrations. It also has security controls and the need for code writing will be less. 

Apache Spark 

Apache Spark is a tool used for processing high volume of data faster. It has in-build features like graph processing, machine learning and SQL. 

Xplenty 

It is a user-friendly tool that helps to make workflow and data transformation simple and efficient. 

Reach Out Our Experts

Why is big data analytics important? 

Big data analysis for companies gives insight that is hard to come by through traditional business intelligence tools, which are typically limited to data sets and provide only surface-level insights into business performance. Through analytics data services, companies can analyze more data in greater depth than was previously possible and uncover valuable information. 

The context of analytics typically involves complex algorithms to examine all the trends and patterns in data. This helps organizations uncover new opportunities and risks that they must be careful about. 

Trends Identification 

Business owners need to anticipate and respond to market trends quickly to maintain a competitive advantage and capitalize on new opportunities. Here’s why big data analytics is important for businesses 

Faster Results 

 With the growing trend of big data analytics, companies can get faster results through the data mining process. Not only that, but it also helps companies avoid costly mistakes, increasing the productivity and efficiency of the business. Big data analytics take the guesswork out of business decisions by presenting accurate facts and information. 

New Product Development 

 Another reason big data analytics is important is that it enables companies to develop products and services tailored to their customers’ needs. 

For example, Rolls-Royce and Starbucks are two of the biggest companies in the world. They use analytics data services to analyze how their business operations can be more efficient and aligned with customer needs and preferences. 

Risk Management 

 Big data analytics also helps companies better manage risk by identifying potential threats to business before they arise and mitigating those risks through proactive measures. It also allows businesses to narrow down the main causes of the problems that they’re facing. 

Customer Retention 

When you become more personalized with the needs and requirements of clients the more, they want to remain as your customer. By taking action with reference to customer behavior and pattern boosts a lot in any organization 

Targeted Promotions 

With big data analytics, you can spot out the exact promotional campaigns for your targeted audience so that your work can be more streamlined. 

 Financial Optimization 

Some tools allow you to do multiple things like storage, analyzation and processing thus it minimizes the overall cost. 

Convinced with the importance of big data analytics in business? 

 If your company needs big data analytics to improve business efficiency, you’re in the right place. Hire our professionals to upgrade to AWS data analytics services in Princeton today! 

At Continuum Innovations, we serve a wide range of industries and offer services like