Data as a digital transformation accelerator

Digital transformation has become an imperative in the modern business world. In an environment where technology constantly brings new developments, organizations must adapt or risk being left behind. At the center of innovation is data, the engine, which, when properly geared, helps accelerate the transition towards efficiency.

This is what the World Economic Forum states: “The 4.0 revolution is transforming the way we use and leverage data, just as the industrial revolution transformed the way we produce goods.” “Data is becoming the critical new resource for innovation, productivity, and decision-making across all sectors.”

However, it is an area that not all companies have yet explored. 

The importance of data in digital transformation

All businesses can now generate data from supply chain operations to customer interactions thanks to digitalization. Utilizing this data to make educated decisions is the problem, which is why technology should be used to promote innovation, efficiency, and competitive advantage.

Data-driven decision making has become common practice in successful organizations. Businesses can use data to better understand their clients, streamline processes, spot business expansion prospects, and predict industry trends. Furthermore, personalization of goods and services—which can greatly raise customer satisfaction—requires data.

“Companies that use data to guide their choices have a 19-fold higher chance of making a profit than those that don’t, and they also have a six-fold higher chance of retaining and gaining new customers.”

McKinsey Global Institute

How does data optimize customer service?

Customer satisfaction is a fundamental aspect for the success of any business. User experience (UX) data collection and analysis is crucial to comprehending how customers engage with a business’s goods and services. Not only does this data facilitate the identification of areas in need of improvement, but it also powers crucial decision-making in real-time.

Digital transformation plays a leading role in achieving this. When implemented properly, technologies like artificial intelligence (AI) and smart dashboards, for instance, can help businesses maximize the value of their data.

Smart dashboards are now a vital tool for businesses trying to boost productivity and user experience. These dashboards give management and development teams a consolidated, real-time view of UX data, enabling them to make deft decisions more quickly. Some of the key benefits of smart dashboards include:

  • Real-time monitoring. Because UX data is updated in real-time, teams can identify problems right away and act quickly to address them.
  • Clear display. Smart dashboards make data easy to understand and spot trends by presenting it in a visually appealing manner.
  • Personalization. Users can customize dashboards to focus on specific metrics that are critical to their business.

Applying artificial intelligence in data collection and analysis

AI has revolutionized the way companies collect and analyze data. AI has the potential to yield insightful information from massive data sets when applied to user experience. Some examples of applying AI in UX data collection and analysis include:

  • Sentiment analysis. AI can analyze user opinions on social media, reviews, and surveys to understand customer sentiment towards a product or service.
  • User segmentation. AI makes it simpler to personalize goods and services by identifying user groups with comparable habits and preferences.
  • Behavior predictions. Through machine learning, AI can predict future user behavior, allowing businesses to anticipate their customers’ needs.
Ikusi Intelligence: Digital transformation for your company

Businesses can use Ikusi Intelligence to gather user experience (UX) data, put intelligent dashboards into place, and use artificial intelligence to accelerate their digital transformation.

Drive innovation, enhance efficiency, and start making informed decisions in real-time with Ikusi services.  Contact us here.

Autor: Carlos Lugo
Puesto: Ingeniero de Desarrollo de Producto
LinkedIn: https://www.linkedin.com/in/carlos-lugo-55419256/

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