Discovering Simplicity in the Complex IoT Data Maturity Journey
Business models are evolving, and data is at the heart of that movement thanks to the explosion in edge computing and IoT connectivity over the last five years. When you think about all of the data available from connected devices, such as security cameras, pressure sensors, smart home devices, mobile phones and more, channel partners have a massive opportunity when it comes to capturing, storing and sharing IoT data. The sizeable market opportunity presents heavy competition when it comes to maximizing this value.
Step-by-step: The Data Maturity Journey
There’s elegance in simplicity, and that’s how we’ve designed our levels of data maturity. The data maturity journey is a step-by-step approach to moving channel partners down a methodical path along with their end users to better extract and utilize data across their organization. One of the main reasons channel partners and end users experience challenges and barriers when it comes to data progression is looking for long-term benefits with a non-systematic, short-term approach.
As a result, we’ve identified four steps of IoT data maturity:
Foundation: Collecting data from things, people and processes
Modernization: Organizing data to create a more integrated data experience within the organization
Insight-driven: Analyzing data to deliver insights to the organization to increase revenue, reduce costs and better serve clients
Data-driven: Extracting maximum value from data across the organization
Jumping to full data-driven IoT maturity isn’t an overnight process; even taking the first step on the journey is one that requires a full gamut of products, solutions, services, consultation, training and enablement to fully maximize data potential and move along the journey. Simply purchasing an IoT or data solution isn’t enough.
In a perfect world, MEGA COMPONENT and our industry consultants meet with the end user customer to fully establish what the customer is trying to accomplish and what they’re currently doing to achieve that. Consultants can help identify obstacles and explore the solution catalog to address those challenges.
In action: Showing the data maturity journey in the healthcare environment
End users, like a healthcare clinic, for example, desire to leverage their data better than they do today. They want to reach that pinnacle of becoming a data-driven business. A company in the healthcare field may take the following steps at each phase of the journey:
Foundation: Remote patient monitoring (RPM)
Modernization: Applications and dashboards that combine the view of all patient vitals
Insight-driven: Using data to better predict high-risk patients
Data-driven: Precision medicine and treatment that takes into account all historical, current and predictive data associated with a single patient
Overcoming obstacles: Mitigating risk on the journey
Everyone within the channel needs to find value, but not everyone knows how to fully extract it at scale. Organizations both small and large want to extract as much data as possible, especially when more data is available at our fingertips than ever before. However, there are several challenges commonly experienced when trying to move along the journey:
Differentiation and specialization
Industry credibility
Access to expertise
Operate new business models
Mitigating risk
Gaining market share