Computer science that adds a new dimension to the world of marketing

Computer science is spread across all industries and sectors. There is a huge amount of data produced on a daily basis. What is to be done with all such data?

Raw data can be of no use and many opportunities are missed. That is why data in today’s world is given such tremendous importance and works relentlessly to find answers to various questions. Computer science is a complex form of the interdisciplinary subject where math, statistics, programming and business knowledge are needed. It includes a data cycle where data is collected and stored, cleaned, explored, visualized and then interpreted to management. All of these activities, while sounding simple, involve many tools, techniques, and skilled experts.


Computer science is widely used in all types of business and organizations. Its best help is to discover hidden truths in the data collected and help understand relevant markets. Some of the general benefits of data science are:

  • Increase business value by optimizing profitability, workflows, operational efficiency, workforce performance, etc.

  • Better analysis of industry trends and risks by analyzing vendors and customers and being updated on news and social media feeds.

  • Knowing its customer by their preferences, demographics, requirements, etc. and tailoring products and services accordingly.

  • Helps recruitment by sorting several applications in less time and choosing according to the needs of the organizations.


Every business organization has marketing at its core and depends on it. They have some kind of product or service to market and sell to earn revenue. Now that data science is such an up and coming tool for companies, marketing is far from being used.

Market trends and demands are changing at an inexplicable rate, and companies need to keep up with the changing environment, or it can lead to losses and become obsolete. The ways in which data science helps market are:

  • Demand inquiry: Using predictive analysis, one can predict the future demand volume. This helps companies be prepared for the future, either by increasing demand if they are predicted low or increasing production if they are predicted high.
  • Targeting and segmentation: This is done through statistical analysis and data clusters. Usually, companies have many customer segments and segmentation can help increase the value of the product and also targeting becomes cost effective. Creating micro-segmentation strategies and targeting improves market efficiency.
  • Digital Advertising: Today, digital media helps a lot in advertising the targeted customers so that the product information reaches the potential customer. This also reduces advertising costs.
  • Increases marketing performance and speed: analytics continues to analyze data sets and decide which marketing campaign works and to what extent. This helps save money and time being wasted on campaigns that are not fruitful.
  • Customer satisfaction and feedback: analytics constantly monitors customer feedback and reviews, which in turn helps improve product and customer service.

From product design, production to advertising, campaign, delivery and payments, all data is analyzed by data experts. They can understand the entire customer journey and even their feedback and use it to better understand and improve marketing standards.