Big Data

Role Of Big Data In Consumer Behavior Analysis

Nastel® Technologies
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The recent surge in internet usage and its corresponding increase in data has triggered a new awareness among business owners. One of the main questions from marketers is how their businesses can benefit from Big Data. As a business owner, you should know that Big Data is indeed one of the most incredible things to happen to the marketing industry. If used right, it can enhance your company’s ability to serve its consumers and increase revenue.

 

Big Data has been the talk of the techies and business gurus for quite some time now. More companies are using data analytics to get a better understanding of their customers’ buying habits. According to the experts, “How much data companies use to understand consumer behavior is yet to be seen. However, much progress has been made, and companies are looking forward to big data’s impact on consumer behavior analysis.”

 

  • How is it done? 

The role played by Big Data in consumer behavior analysis depends on how it is used. Some companies claim that the data size is inconsequential, while others say that unstructured data can help analyze sales, customer service, and product and service trends. The big question is how data helps us in analyzing consumer behavior. Companies that have examined their data and have come up with good results have used this information to fine-tune their marketing programs. On the other hand, companies that still depend on traditional data gathering methods are looking forward to experiencing the impact of unstructured data.

 

  • Collection & Segmentation of Data 

Several research papers have highlighted the importance of data in consumer behavior analysis. The researchers suggest that if you want to use this tool effectively, you need to collect and sort your data to have an easy time processing and interpreting it. Most of the time, it takes companies more than ten years before gathering and analyzing data. However, once you have the data in hand, you will have the time to use it for your marketing campaigns.

 

  • Data Mining plays a key role 

Data mining is the process of finding out new things from the old data. This is why companies need to be quick in collecting and organizing all the collected data. They should keep a close eye on the competitors too. In addition, data mining can help them save time and money, and it will also help them provide better service to their consumers.

 

  • Big Data in Customer Service 

How big data helps in consumer behavior analysis does not only apply to the marketing aspect of the business, but it also applies to customer service. If you know how to survey your customers properly, you can gain many insights into how your customers interact with your company. You can then use these findings to improve your customer service. You can also use customer service data to find out what makes your customers loyal.

 

  • Data Collection for Efficient Operations 

Businesses and corporations collect data every day. They use this data in various ways. Some companies use the collected data to improve their operations and make them more efficient, and they also use the data to improve customer service. These are just some of how large companies use data to serve their consumers.

 

However, big data in consumer behavior analysis has nothing to do with efficiency or customer service, and it has everything to do with the accuracy of the data. Large companies sometimes make use of inaccurate data, and this leads to false findings and biased conclusions. This is why you need to employ experts trained to deal with the challenges posed by using data to conduct research.

 

This article originally appeared on linkedin.com, to read the full article, click here.

 

Nastel Technologies, a global leader in integration infrastructure (i2) and transaction management for mission-critical applications, helps companies achieve flawless delivery of digital services.

 

Nastel delivers Integration Infrastructure Management (i2M), Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate. To answer business-centric questions and provide actionable guidance for decision-makers.
The Nastel Platform delivers:

  • Integration Infrastructure Management (i2M)
  • Predictive and Proactive anomaly detection that virtually eliminates war room scenarios and improves root cause analysis
  • Self-service for DevOps and CI: CD teams to achieve their speed to market goals
  • Advanced reporting and alerting for business, IT, compliance, and security purposes
  • Decision Support (DSS) for business and IT
  • Visualization of end-to-end user experiences through the entire application stack
  • Innovative Machine Learning AI to compare real-time to the historical record and discover and remediate events before they are critical
  • Large scale, high-performance complex event processing that delivers tracing, tracking, and stitching of all forms of machine data
  • And much more

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