Municipalities are embracing connected devices. LoRaWan networks enable low-bandwidth communications and the installation of low-power devices.
Meanwhile, smart sensors allow real-time integration of various types of data used for new public services. By collecting data on the environment, traffic, safety and more, smart cities can develop strategies for achieving their long-term goals. For residents, it translates into better quality of life.
Level 1: Descriptive analytics (What has already happened?)
Level 2: Diagnostic analytics (Why did it happen?)
Level 3: Predictive analytics (What could happen in the future?)
Add analytical processes to:
Level 4: Prescriptive analytics (How should we respond to predicted scenarios?)
Add analytical processes to propose the best solutions, take action to minimize risk and/or capitalize on opportunities identified in the predictive analysis step.
NOVIPRO also provides on-demand assistance for analytics projects and each of the services included in our turnkey offer is available independently.
We offer a structured and flexible approach to make sure your teams get the support they need.
IoT is just a way to collect field data. There’s very limited value in simply recording inputs. In order for a model to be relevant and sustainable, it needs to be included in a platform that processes IoT data and translates information into insights.
While most cities have the same needs, they often have very different resources. That’s why it makes sense for NOVIPRO to manage your analytics projects. We can do it all or just take care of a portion. When determining what type of assistance you need, it’s important to consider your communication network type, deployment complexity and the size of your in-house team.
We believe that data should be used to describe, understand, predict and resolve incidents and situations. It can also be used to develop artificial intelligence models that inform the city’s services for the public.