Mobile as an IoT device
Smartphones and tablets, embedded with sensors, software, and network connectivity, created the first mainstream and widely adopted IoT device, with over 7 billion connected devices today.
Businesses are prioritizing and investing in mobile app and mobile website development as the trend towards computing via mobile over desktop increases.
In fact, the traditional model of how mobile operators and customers interact will change as society evolves to be more IoT-centric.
Mobile as a way to connect with customers
More and more mobile apps are being developed so that customers can interact and manage their connected devices remotely.
What this also means is that companies can directly interact back with their customers, post-purchase, creating a two-way dialogue. If they understand how a single customer is using their product(s), they can send customized notifications and alerts in order to enhance the customer experience during the product lifetime. Ultimately, businesses can leverage their investment into smarter products and the mobile-interface that will offer them a distinct competitive advantage.
Mobile as a data aggregator
The power of mobile apps lies not only in the abundance of data on user behavior that companies can access, but also in knowing how to efficiently aggregate that data in order to produce useful reports that can translate into strategic business decisions.
The value lies in the fact that businesses are able to access real-time data and intelligence on their products and services directly from the mobile devices that customers are using.
Just a few lines of code connects devices to Buddy Platform, no heavy agents or proprietary silicon requirements necessary. This model allows any connected device to send data to Buddy, helping to gain intelligence from sensors already deployed, and ones that soon will be.
Buddy can translate raw data into seamless connections to gain valuable insight through actionable business and customer intelligence. This includes functionality for custom analysis in the cloud, and two way communication between devices, or from your business systems back to the devices themselves.
Once data is normalized with Buddy, it can be sent to a wide variety of business systems for rich visualization, connecting to machine to machine systems, or deep analysis with big data systems like Hadoop. Easily integrate data into everything from Splunk, Salesforce, Microsoft Dynamics, ZenDesk, Tableau and beyond.