Still, in 2018, the most widespread confusion among business leaders is to pick the right IoT platform. Instead, they should be looking for a complete business solution, not just a platform. There are lots of IoT Platforms available in the market but not a single comprehensive IoT solution which enables smarter business decisions.
No IoT platform is a complete solution:
Most IoT platforms do not represent the full set of services needed to assist an enterprise to build an IoT business solution, much less to become a digital business. Any IoT platform will need to be configured, modified and integrated with back-end systems and data to best meet the requirements of the specific IoT project or deployment.
So, conclusively, IoT Platform solves just a small part of the problem; it doesnâ€™t provide the entire IoT solution.
Why comprehensive IoT solution?
An End to End Complete IoT solution includes:
- Communication Networks
- Device gateways/controllers
- Telemetric device management
- Comprehensive IoT Platform
- API management and integration
- IT application platforms
These features of an IoT solution makes it useful for an organization in cost reduction, better customer satisfaction and improved accuracy in operations.
Many IoT solution providers develop IoT solutions best in their class. But, how to make sure that an IoT solution is the best fit for you?
An End to End complete IoT business Solution provides the following capabilities:
Decision Matrix: A Decision Intelligence Pipeline Model for Smarter Business Decisions.
Device management: Authentication/Authorization Installing, provisioning and managing IoT endpoints; Securely and reliably connecting to those IoT endpoints.
Information management: Ingesting, managing, curating and analyzing IoT data. Data conditioning (and other quality control steps). Storing data and event logs, prepared context data, analytics models and metadata at each step to support future iterations.
Business Rule Management: Applying rules, including complex-event processing. Injecting the resulting prepared data into a decision process, human or automated.
Predictive Analysis: Applying predictive and prescriptive analytics (including learning). Offline forensics and detailed analytical models.
CEP (complex-event processing): Real-time CEP and operational analytics.
Alerts and Notifications: An alert posted to an event network (seeking a decision), the push model. Data delivered via an API response (on request), the pull model.
Configurable UI: An update to a user interface, such as a dashboard (to support human decision making).
Security:Risk and policy management and enforcement; the ability to monitor, detect and respond to threats.
Asset Management: Distributed access control and management across IT assets (including data, applications, networks, and platforms).
Communication protocols:Connectivity between IoT endpoints, IoT gateways, IoT platform hubs and back-end systems.
Integration Management Services:IoT device and data integration (will require enterprise application integration, SaaS integration, mobile app integration, and legacy system integration).