Facing the changes after COVID-19, do you keep up with the digital transformation trend?

Is your world changed?  Our life in Taiwan is totally different after May of 2021.  The world has been changed and will never go back.  It’s important that your marketing strategies should be changed as fast as consumers’ behaviour.  If our life totally becomes contactless and digitised, enterprises should also think about how to keep up. 

How’s your company going?  Did COVID-19 cause any effect on your company?  People ask these questions recently when they greet others.  There are two directions of business development after COVID-19.  Some people are too busy to sleep due to the stay-at-home economy.  The others are too depressed to sleep due to lockdown. Whether which type are you, you must have cognition that the world has moved on and never go back.  You only can keep up the trend and adjust your business quickly because the era of a contactless economy is coming.

Although the COVID-19 appeared suddenly, these differences have gradually lasted for nearly two years and enterprises have sufficient time to plan the digital transformation and put it into practice.  In the past, most enterprises might spend too much time considering the solutions but did not execute the plan.  COVID-19 becomes the invisible element to push enterprises to do the digital transformation and must know and consider the business module about digital transformation.  The digital transformation is not only transfer servers from offline to online such as people used to believe digital is just put traditional media to Online or do digital advertising.  However, it cannot attract consumers if enterprises are lack digital characteristics and digital serves.

Digital transformation is not a slogan but it must be more strategically promoted.
 


 
  1. Data Collection
We usually mention the importance of data collection due to data collection is the key point to transfer to digital transformation.  All data cannot be missed including advertising data, marketing data, membership data, social media platform data and consumers’ offline behaviour data.  However, besides data collection, it must be analysed logically and apply to suitable consumers.
 
  1. Deep Intelligent learning Optimization
Data collection must be analysed, transformation and deep intelligent learning optimization, in order to improve the level of data statistics.  We used to say big data can achieve the function of “prediction” which is to extend intelligent learning from the basis of statistics and quantification to achieve the purpose of prediction.  The most common deep intelligent learning application is product recommendation.  The system combines all data including member purchase data, social media platforms information, content information of reads, product search estimation and makes predictions about product recommendations immediately.  It seems to be a simple recommendation, but it combines a large amount of data analysis and different learning optimization results.  It will improve from the continuous YES/NO response to get the accuracy.
 
  1. Discover Unique Opportunities for Digital Transformation
No matter how smart the system is, it is designed by humans, so the system is just a tool to help decision-makers have more information to determine the direction.  System optimization doesn't mean digital transformation but It definitely clearly helps decision-makers to discover and provide for consumers’ needs.  Different industries and brands do not have the same standards.  In fact, it is the same as the search for market positioning of products in the past.  It is just another tool that helps us can know consumers’ needs more clearly.  Of course, it also increases more possibilities for providing comprehensive online services.  Real digital transformation means planning the unique business model in response to consumers’ different needs and providing services that meet the unique digital benefits.

 


 
“Contactless Economy” may be a new noun, but neither “Contactless Economy” nor “Smart Online Services” can come from nothing.  “Contactless” comes from a designed process that is a more complete and satisfying consumer usage flow.  “Intelligence” comes from data analysis and smarter application, which is what we said in the past as internal business intelligence in the enterprise.  Data must also expand from a single category to multiple convergences, which means that advertising is no longer limited to advertising data, and marketing is no longer limited to market sales data.  From the data of consumer social interaction data to member preference targeting and popular clicks analysis, all of them cannot be missed.  Corresponding to the CDP issue, CDP is no longer just seeking a solution for Cookielesss but is also an important strategy-making tool for digital transformation.
 
It is important to move on from facing the irresistible trends which just likes COVID-19 will never stop.  Instead of being annoyed that we can only struggle in COVID-19, we might as well start planning to catch up with the powerful data trend.
 
 
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