High Quality Data
Proper data modeling and filtering means clean data inputs for your analytics. Strandz ensures the data in your IoT system is clean and ready for consumption by your business intelligence tools and data scientists.
Authentication And Trust
Security, authentication, and validation from the device to the enterprise backend. Policy driven access control, data point level encryption, and data point level trust are foundational elements of all Strandz-based IoT solutions.
Connect to your existing enterprise systems and workflows with well-defined interfaces and integration points. Leverage advanced cloud infrastructure so you can focus on the business value of your IoT data.
Incoming Data Storage
Incoming data is from IoT devices and 3rd party sources is atomized and stored as immutable data points.
Data is processed, cleansed, and flagged as trusted or untrusted using business logic and domain-specific algorithms.
Data Access Control
Permissions are assigned at the data point level controlling system-wide access for users and enterprise systems.
Only clean, trusted data is returned in query results analytics tools, accelerating identification of real trends and insights.
Raw and untrusted IoT data can be reviewed by engineers for troubleshooting and algorithm optimization.
Clean usage and performance IoT data can be reviewed to improve product value and increase revenue over time.