Top 6 Data Science Use Cases in Design

Nowadays, industries are privileged by the opportunity to apply data science to reach new heights in their efficiency, productiveness, and overall success. The range of these opportunities is pervasive starting with advanced calculations for the business to customer service quality. Besides, the data collection is much simpler than ever before.

As for the companies working in the area of design, data science may bring numerous benefits. Design is the field of activity where creativity and technologies have to work together. Therefore, data science is being widely applied in design. In this case, design is an umbrella term, which includes various areas of activities employed by design-driven businesses. Moreover, the design is one of the most fast-moving and challenging areas of activity. Thus, data science application, in this case, is a must.

Let us dwell on the vivid examples of how data science applications change the design industry. 

The importance of industry knowledge in the processes of product development and design is indisputable. Nowadays, customers tend to pay particular attention to product design. Much attention is being paid to the esthetics and emotional context hidden behind forms, colors, and textures. Industry knowledge in combination with customers’ needs and preferences can largely contribute to the success of a product on the market.

But how is it possible to design a product that will fully satisfy customers’ needs, meet their expectations, and fulfill all the necessary tasks properly? 

This is the stage where various types of knowledge should be brought together to design a product matching all these requirements. The term ‘design thinking’ is often used to nominate the solution to this process of finding. Data science algorithms and methods help to collect and analyze data to get as many valuable insights as possible. design thinking process will address these insights to personalize decision making, predict customers’ behavior, etc. All in all, the combination of various knowledge and approaches will result in the product that will be so close to an ideal product, that the customers will be willing to buy. 

New product development is a combination of steps aimed at creating the product from scratch and introducing it to the market. product design is one of these steps. 

Data science algorithms help to discover hidden trends and sentiments before even introducing a product to the market. Millions of product reviews, comments and discussions provide a vast field for advanced analysis. 

Recently, Big Data penetrated various spheres of human life. It has dramatically affected the way we live, manage our homes, and the way we build them. Thus, our homes have become smart homes due to modern technologies.

The application of modern technologies is aimed to facilitate routine tasks for people. However, the progress of these technologies does not seem to slow down. Thus, home design has to adapt and adjust to new requirements as well. Home automation and smart integrated solutions require a certain level of personalization and the ability to be adjusted according to customers’ desires. Self-learning and adaptive smart home frameworks are impossible without data science algorithms and techniques.

Human-centered design is a new framework of design and management dedicated to the development of various solutions based on the human perspective. It is built on the principle of participatory action research. Thus, the solution to the problems is found via stages of observing, initial framing, monitoring, analysis, etc. 

The application of human-centered design brings numerous benefits to a business. Human-centered design results in the fabrication of highly usable products. In its turn, the customer receives the product which is easy to use, and you get the reduction in costs for help desks and support systems.