When you think of digital touchpoints, the thing that initially comes to mind is the variety of ways a customer interacts with a brand, app, or product.
But with the expanding landscape of embedded systems development, how confident are you truly know your customers? Is it feasible to rely on smartphone data only? Why do users choose one home appliance over another? Is the data you use up-to-date, safe, and secure?
It is no longer enough to “know your customer” (KYC) as they interact with single brands, and apps and draw decisions based on that isolated knowledge. Customer knowledge is now replaced with customer intimacy, which assumes tracking the user flow so deliberately that you get to know your customers better than they know themselves.

As a rule of thumb, anything that can be programmed to send data over the Internet can create a digital touchpoint for your customers.
Think of a manufacturing plant that uses embedded devices to monitor machine performance, collect sensor data, and track production metrics to identify trends and anomalies that might indicate a problem with a machine or process. Accurate real-time data can help plant managers proactively address the issue before it becomes critical.
Or, consider healthcare providers who use data insights to identify solutions to potential health problems and provide the best possible patient care.
Not all business decisions contain major risks. But, if you aren’t aware of all benefits of embedded systems analytics, you are only scratching the surface of data insights.
How Embedded Systems Promote Customer Intimacy
Data insights for embedded devices refers to the process of collecting, analyzing, and interpreting data generated by low-power devices integrated into larger systems or networks. Insights from embedded systems follow the intuitive natural flow of user behavior around specific apps, devices, or features, helping you draw more accurate, data-driven, real-time conclusions about your users.

Emerging Technologies and Embedded System Development
New technologies, such as artificial intelligence (AI), machine learning (ML), natural language processing (NLP), big data analytics, and edge computing used in embedded systems are more powerful, faster, more accurate, and more adaptable than their predecessors in picking up data insights for the following reasons:
- Analyze large data sets and find patterns and relationships undetectable for humans.
- Work with data in real-time or near real-time and help you make decisions based on current information.
- Learn from the data and improve accuracy over time.
- Process and analyze data at the edge (periphery) of the network closer to the data source. This approach can help you reduce latency and improve data security.
These technologies can be programmed to learn and adapt to new data, which makes them applicable to a variety of industries.
Data Insights vs. Data Analytics
Understanding the differences between these two can help you apply that data to drive business decisions and act fast.
- Data analytics can involve both descriptive and predictive analysis, to understand what has happened in the past and what might happen in the future.
- Data insights, on the other hand, refer to the actual insights or actionable information that is derived from data analytics.
In a nutshell, data analytics is a means to an end, while data insights are the desired outcome.
Power Up Your Data Insight Strategy for Business Development
Data insights can help you optimize products and services, improve customer satisfaction, make better decisions, increase revenue, and gain a competitive advantage.
1. Product Development
Analyzing user feedback and usage data helps you understand what users like and dislike about a new product. This information can then be used to inform product development, prioritize feature enhancements, and improve user experience.

Let’s consider an in-vehicle user experience. Vehicle speed, acceleration, and engine load generate data to identify opportunities for improved fuel efficiency. If the data indicates that the driver is accelerating too aggressively or driving at high speeds, the vehicle’s onboard computer could generate a notification or coaching message to encourage greener driving habits. If a particular component is showing signs of wear, the vehicle’s onboard computer could generate an alert to address the issue before it causes a breakdown or more extensive damage. Knowing drivers’ habits and which components break down faster helps car manufacturers optimize vehicle performance.
Usage analytics can also help manufacturers understand how users are interacting with the car and used this information to identify areas for improvement, prioritize feature development, and make data-driven decisions about the product roadmap.
2. Customer Satisfaction
Insights from smart kitchen appliances can inform about user habits and preferences and create a distinctively personalized user experience.
If the appliance is a smart coffee maker, for example, the embedded system could get to know the user’s preferred times for drinking coffee, favorite brands, and how much sugar and cream they like. This data can be used to personalize the user’s experience by automatically brewing their preferred coffee at the right time and with the preferred ingredients.

3. Increased Revenue
By analyzing customer data, businesses identify opportunities for upselling, cross-selling, and retention, as well as attracting new customers, ultimately leading to increased revenue.
For example, a subscription-based company can track user behavior on its platform, including the features that lead to increased usage and subscription upgrades and those that lead to user churn and subscription downgrades or cancelations.
4. Competitive advantage
By using data to inform product development and marketing strategies, businesses can stay ahead of their competitors. They can design, package, and extend the life of products and services that meet customer needs and preferences with an added level of sophistication compared to competitors.
The embedded system in a smart refrigerator could monitor the refrigerator’s temperature, humidity, and energy consumption to detect any anomalies that could indicate a problem. and alert the service center to do maintenance before a breakdown occurs.
Data Insights for Developers
Embedded system developers can understand the most popular and the least popular app features, as well as resolve bugs and regressions. Furthermore, they can:
- Identify the features that are most likely to drive revenue and those that only cause harm to the overall user experience.
- Pinpoint issues more quickly and resolve them before they impact a large number of users.
- Design more accurate test cases that more closely mimic real-world usage scenarios..
This can help developers work more efficiently and effectively, and ensure that everyone in the development process is on the same page.
Data Insights for UI/UX Designers
Intelligent data insights can help UI/UX designers validate designs, ensuring designs are effective and user-friendly, without the need for expensive, over-and-over redesigning.
By tracking user behavior, UI/UX designers can improve the overall user experience and increase conversion rates, which ultimately helps the business drive revenue and achieve business goals.
Data Insights for Marketers
Based on customer behavior and preferences, digital marketers can segment customers and refine messaging and marketing campaigns to specific user segments, identify which campaigns are driving the most conversions, optimize ad spend, and improve their ROI.
Data Insights for Product Owners
Product owners are on a constant lookout to reduce the risk of making costly mistakes and increase the likelihood of product success. By tracking metrics such as user engagement, retention, and conversion rates, product owners can understand how their product is performing and make adjustments as needed.
Finally, embedded systems usage systems enable shared collaboration and communication for product owners, executives, investors, and development teams. By using data to support their decisions and demonstrate the impact of their product, product owners can build trust and buy-in from stakeholders.
Leverage Data Insights from Embedded Systems
How much do you know your customers? Do you let valuable data slip through the cracks? Are you looking to gain valuable insights into your product’s performance? Qt Insight can help you do just that.
With real-time monitoring and analysis of user flow and use actions, you’ll have the power to optimize your systems, increase efficiency, and boost your bottom line.
Don’t settle for guesswork or outdated methods – get in touch to learn more about Qt Insight usage intelligence and embedded system analytics today and take control of your product’s success.