How Data Analytics Can Help Wearables Grow
It is not recent to have gadgets connected with the internet technology. We have been using it for centuries, whether in the form of corrective lenses or smart rings or maybe illuminated ballet gears. These were the first of wearable technologies emerged to serve the mankind. Though these were not associated with any internet connectivity, but these implausibly laid the foundation of wearable devices.
As the time progressed, wearables started taking more sophisticated shape allying with other technologies and newer possibilities, responding to innovation and the evolved needs of people. In this course of advancement, wearables routed through different ideas, experiments, applications and approaches and made their way to a class of technology that we use, refer and connect with today in various forms.
In their journey through several technological generations, they have grown from being autonomous solo-utility basic manual tools to dynamic multi-utility automated gadgets, resourcefully keeping up with ever-mountingtechnology growth and advanced user needs.
Growth and innovation in wearables is more inclined towards the evolved ideas and advanced concepts that newer times brought with them. And this is increasingly being impacted with the development of community infrastructure and knowledge resources along with the growth in user-convenient technology.
But how all these factors come together to deliver one good wearable technology offering great utility quotient and high acceptability rate. Well, it’s when you learn about people’s problems and understand their needs well and aim to serve them with a solution built on fine details.
Even in the earlier days when any technology was conceived or built, they took references from close observation on people and trends. They were studied and thought upon in detail in order to serve the users for their different needs and preferences. Which were backed by different opinions and surveys and assisted by different filtering experiments and validation methods.
Now as we have various advanced and automated methods to extract data, derive references, interpret trends, measure traits, process information, and most importantly analyze user requirements based on their action and behavior through data analytics, we are able to take wearable technology to great new heights.
Here’s what role these factors have to play in the growth of wearable technology:
Actionable insights from collected data
The data you collect is as good as the actionable insights it can produce. If you are not able to extract details of the actions tried and employed by the user using your device you are not applying enough of computing techniques and possibilities on your device to analytically leverage on actionable insights. Try to seep through the details on how your user behaves when interacting with a certain feature of the wearable. Place interactive data scanners, behavioral trackers and action capturing events in the form of different features and communication traits across the app, to help you get the actionable insights from the collected data. This way you will be able to tap and track different user actions and use that data to upgrade and enrich your wearable app and even contribute to the information repository.
Anonymous data crunching for better customer services
Wearable devices allow you enormous scope and ability to access and crunch data and derive useful information to better understand customers and their needs.The best part is these devices can be programmed to anonymously fetch and process data and put it through the information stream to help public-facing services work better. These analytical inputs help public operators, employers, process managers and supervisors to better track and manage workers by closely monitoring different performance traits and behavioral patterns through analytics-based wearables. For instance, as a fleet operator you can measure the distances covered and routes followed by drivers. You can even keep a track of their sleep cycles, measure downtimes and organize rosters for better productivity.
Tailored offers based on user habits
If you have used any Geo-enabled app you must have got notifications to allow it access to your location and routing details. Just like these apps on your mobile devices, wearables too are able to fetch such details based on your routine preferences, choices and activities. Tapping and processing all these data and resourcefully channelizing and putting them to analysis can reveal vital details about users. Take for example, a running gear tracking body weight, speed, heart rate, calories burnt, and related details can be helpful in knowing user’s health conditions and fitness level. This information can be used to offer them personalized programs or supplements or rewarding them with benefits for taking more steps and making your product more engaging and user-oriented.
Higher productivity and performance goals
We have already seen a lot of utilities coming in the segment of wearables that allow us to track numbers related to locations, physical activities, fitness levels, and personal favorites. With the advancement in technology we are soon going to see wearables clinically measuring workforce productivity. It would be ploughing out all the vital numbers related to different tasks and employees that matter to you in business. When combined with different factors like health and finance it would be revealing highly astonishing and valuable information. The role of data analytics in business is going to go bigger with this, analyzing minute details that are of high significance to overall business productivity and performance.
Great help in security with neural networks
The next big change wearables data analytics can bring to our lives is allowing us with great level of security. There are already many devices that are meant to serve security at public buildings and confidential places. These will be taken ahead to a new level of authority and compliance, building neural networks with strong AI and machine learning technology. The gadgets running on the new technology will be sending data through interconnected artificial neurons. These gadgets would be recognizing and interpreting details by precisely scanning biometric information through speeches and images and validating and indorsing security at all levels through neural networks.
Final words
With the help of data analytics, wearable gadget companies and developers get great ability to effectively target and serve their userbase. As they know how and to what extent a user is being assisted or engaged by the device and what are their behavioral responses and usage patterns towards the service or utility they are consuming through the wearable device. And this is only going to get smarter and sharper with time to help businesses cater their users most inventively and valuably.
If you would like to know more about the topic you can reach us at [email protected]. You can also connect with top wearable app development companies at www.itfirms.co to have more information on the latest developments in the domain.