How Data Science Can Help You Create Better Customer Experiences

Innovation
By: 
Samuel Alfie

Ocean’s 13 is more than just a heist movie in a casino. It showed how using a high-tech artificial intelligence system precisely predicts the genuineness of a player’s win, by analyzing factors like - surprise, shock, hysteria, reaction, and change in the heart rate. These factors helped Al Pacino, the casino’s owner, to understand if the win was legitimate, an act of luck (as it is supposed to be) or if it was planned.

And while the technology was all about sophisticated Artificial Intelligence, it used a whole lot of data and analyzed it in real-time to:

  • ensure the authenticity of wins, and
  • help the management solidify its decision making

This study of data has now grown into a dedicated field and Data Science learning is becoming a sought-after career. It is about gaining in-depth information out of large amounts of data, by its analysis. It is about extracting information of value, that can lead to the betterment of a business.

Expansion in the online space and ever-rising customer expectations are leading to a radical shift in analyzing customer information not only for business growth, but also to gain maximum competitive advantage.

So, how can you improve customer experience with Data Science?

  • Studying Customer Journeys Better
  • Improving Customer Lifetime Value (CLV) with Better CX

 

Studying Customer Journeys Better

Maintaining customer journeys help you in gaining insights into how your customers have been interacting with your brand at various stages. They further provide you data from various communication channels, from chats, calls, and emails to multiple social media platforms.

Data Science enables you to analyze huge amounts of data to extract helpful information. This can help you understand how your customers have been interacting with your brand so far. Analyzing customer journeys empowers you to realize and address pain points, as well as in recognizing what they like the most about your business and when they have been the happiest. In turn, you can fine-tune future interactions with your customers.

 

Improving Customer Lifetime Value (CLV) with Better CX

When it comes to long-term success, the longevity of customers is either equally or more important than gaining new customers. Returning customers create goodwill by showing trust in your brand. They even act as your brand ambassadors as they tend to recommend your products and services to others.

It’s like the next step from where you go with customer journeys. When you have insight into your customers’ experience with your business, you can plan and strategize the future better. You have better knowledge about what they want and how you can give it to them.

Customers are also more concerned about the privacy and security of their information, thanks to digitization and cloud data storage. Data Science leverages modern technologies like AI and machine learning in continuously adapting to various scenarios where security might be a concern.

Data Science is resultantly developing into a domain that empowers businesses to create better customer experiences because now they can analyze data more accurately and are better prepared to deliver more than satisfying experiences.

 

Data Science: Moving into the education sector

When imparting education is becoming more digitized day by day, can decision making for the same using data science be far behind?

The education industry, like any other, is highly sophisticated. It not only focuses on what students study, but what they will become as professionals. Ensuring that the right teaching methodologies are used to get the best results in terms of retention is one of the biggest concerns for the educators and the administration.

Just like in the typical business space, Data Science can help schools and other education institutions in understanding and analyzing the quality of education, as well as students and teachers’ performance. It comes with the promise of deciding the course of education. Here, the students can be considered as the user base or the customers for whom the educational institutions need to create the right experiences.

In education, Data Science can have several impacts:

  • For technology investment
    • Get an overall view including:
      attrition
    • dropouts
    • detentions
    • attendance
    • learning delays
    • progression problems
    • Completion of assignments
    • grading issues and more.
  • To fine-tune online courses and offerings
  • For infrastructural changes
  • To understand complex records and fields of student data such as grading, assignments

The research and analysis in these directions can help educators modify and create adaptive learning curriculum for their students. And adaptive learning is one of the major benefits of online learning as well. Teachers can further provide more insightful observations to parents on how their children are performing and what needs to be done outside of the school.

 

Data Science provides two-way benefits.

It empowers a school administration to delve deep into the teachers’ performance, how they are teaching and what can be done to improve the quality of teaching.

By analyzing how the same group of students perform in different subjects, information can be extracted around students’ learning capability, teachers’ teaching capability, as well as whether or not the current set of facilities are enough.

 

Online Q & A Platforms: A good way to learn data science as a beginner

The good thing is, while people can always take professional courses to learn Data Science, it is birthing discussions offline and online. Platforms like Quora, Yahoo Answers, LinkedIn, Discuss and many more, encourage open discussions on Data Science, where people from different backgrounds and demographics can come together, ask Data Science queries and exchange knowledge on how to learn Data Science as a beginner.

People are invariably becoming technology oriented, as some aspects of it are nearly impossible to avoid no matter how old school one might be. Data Science is about using various technologies, including AI and machine learning, to their full potential to create better business prospects for the future, regardless of the industry.

 

About the Author

Samuel Alfie is a blogger at ProProfs Discuss, the #1 Q&A website with millions of wisdom seekers collaborating to ask questions and get the best answers. He loves reading and writing about a variety of topics including e-learning, e-commerce, science, philosophy, pop culture, travelling, digital media, and more. With a knack for writing, enthusiasm for research and an editorial mindset, he loves creating content that resonates with the audience.

 

 

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