Author Profile Picture

Ahmad Ben

Bengu

CEO

googletag.cmd.push(function() { googletag.display(‘div-gpt-ad-1705321608055-0’); });

Business development through big data

default-16x9

All the leading brands recognised as world-class companies share one common quality. Design thinking. Modern-day marketing is not just about having the perfect logo or the perfect social campaign, you must form a genuine connection with your customer. Design thinking allows leading brands to engage with their clients psychologically and outmanoeuvre the competition.

On the other hand, companies are also recognizing the tremendous value of big data, thanks in part to the significant benefits it’s providing to numerous services.

But what happens when design thinking is integrated with big data technology? 

Big data and design thinking

Big data mixed with design thinking is innovative by the value it produces for companies. By merging big data with design thinking, companies can discover new opportunities for customer engagement and user experience. The type of experiences that produce a genuine connection from brand to consumer.

Design thinking has one primary goal: to put customers and their requirements at the forefront when launching applications or establishing new products and services. Both big data and design thinking make use of processes that are mainly solution-focused and action-oriented, and even individuals not familiarized with design can broadly use them for business purposes.

Business development through big data and design thinking

Data is very common in businesses, but the complete use of disorganized data, particularly from the Internet, sets the need for more development in product and marketing design along with quality control to ensure data integrity

Big data and design thinking share a couple of common traits. To begin with, both start with premium data, which is data that is drawn out pure and unpolluted and then fed into cognitive applications. Both of them also have a significant influence on our businesses. They can change companies with capabilities to increase revenues, drive efficient processes and reduce risks.

Large enterprise utilisations

A significant number of large enterprises, specifically those in standard market sectors such as telecoms, commercial services, and production, are beginning to understand the value of design thinking integrated with big data to achieve true customer engagement. In this fresh approach throughout businesses, success depends on streamlining detached customer experiences by utilising consumer-centric design thinking and data-enabled insights. 

Both big data and design thinking measure up equally in the potential for creating top-notch services, products, and customer experiences. 

Tailored customer experiences

With the evolution of customer demographics, for instance, millennials becoming a significant portion of the customer market. Businesses have to be more dedicated to creating incredibly tailored and engaging experiences that are backed by big data. These services are expected to develop real human connections and experience higher levels of brand loyalty.

Here are some major shared concepts between design thinking and big data:

  • Customer focus - Empathy is an effective way of connecting with a customer. To have a better understanding of the most pressing issues associated with customer experience, designers need to immerse themselves completely into their customers’ real environment. 
  • Premium data - Design thinking and big data both begin with high-quality data. A big data use-case design that is truly consumer focused should always start with user data. Design solutions can be developed to solve the needs of consumers and perform evaluations on user experiences post engagement.  
  • Outcome focused -  Big data and design thinking need to be both focused on working towards the same goals to achieve optimal business results. 

 

Author Profile Picture