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Internet of Things Analytics

Accelerate Your IoT Analytics projects by 10x

Getting insights out of your IoT data is a different challenge

Because the data is different.

Data Produced by IoT devices is high volume / high velocity and multi-structured

5 Best Practices for Converting IoT Data into Insights and Foresights. Instantly.

  • Stop moving data

    Stop moving your IoT data back into relational structures for analytics. By eliminating ETL, you shave months off your IoT analytics project and reduce total cost of ownership by up to 50%

  • Add business context

    Add business context by joining ERP and CRM data with your IoT data. IoT data cannot drive business transformation without context so business users can easily understand what your IoT data is telling them.

  • Enable business self-service

    Enable business self-service so business users can use IoT data to create their own insights without tapping IT resources.

  • Integrate machine learning

    Integrate machine learning into your IoT analytics workflows. Avoid build separate advanced analytics data architectures and workflows to save months of effort and eliminate the need use case specific analytics tools.

  • Deliverable analytics

    Deliver analytics everywhere through multiple channels, like embedded in applications, natural language or even email PDFs, and let the users decide what consumption model works best for them.

"People love the idea they can just come in and see what has happened overnight. There is a big demand for that in the energy space. Having the ability to look at an entire building worth of data in real-time is a big deal to our customers"

Cory Perdue, President/CEO

Cory Perdue

Knowi Analytics for IoT

Native Integration to IoT Data Sources

Native Integration to IoT Data Sources

Knowi natively integrates to all the popular time-series NoSQL data stores enabling instant integration to your IoT data, without moving or manipulating it first. We don't move your data for analytics or require you to install any drives, etc. When we say native integration, we mean native.

Join with Relational Data Sources Shadow

Join with Relational Data Sources

Knowi uniquely enables you to create blended datasets on the fly through our innovative query interface. Join as many sources as your want, including REST-APIs, in a single query. All join types are supported. All you need to know if the join key and we take care of the rest.

Embed Analytics in Your IoT Applications Shadow

Embed Analytics in Your IoT Applications

Knowi comes with over 30 visualizations that you can easily embed into your IoT applications. We provide a number of embed options to meet every use case. Brand Knowi dashboards as your own for a continuous user experience for your business teams, customers or partners.

Integrated Machine Learning Shadow

Integrated Machine Learning

Knowi comes with built-in machine learning algorithms supporting classification, regression and anomaly detection use cases. You can train your models in Knowi and use Cloud9QL to remove outliers, etc. so you don't need seperate data prep tools.

Because machine learning is integrated, Knowi eliminates the need for complex integration projects in order to use your machine learning models. When building your advanced analytics query, you select the model to use from a drop down menu and save the query. When the query runs, it will use your model. Simple as that.

Trigger Data-Driven Actions Shadow

Trigger Data-Driven Actions

With Trigger Notifications, you can automate actions or notifications based on the results of your advanced analytics query. With the flexibility to initiate an action in a downstream applications, or quarantine data, or simply to send an email to an operator, you can configure actions to meet multiple use cases.

Use Cases

  • Smart City


    Provide traffic managers with easily understandable dashboards to optimize traffic flow, reduce violations, and improve bike and pedestrian safety

  • Energy Management


    Allow building operators to monitor an entire buildings energy use in real-time using a single dashboard to easily identify opportunities to optimize usage and reduce waste

  • Fleet / Asset Management


    Monitor the status of your cars, bikes, mopeds, trucks to schedule preventive maintenance and understand operational under different conditions.

Knowi's ability to handle our large volumes of data and let everyone here at Boku to quickly accessand share information was critical to becoming a data-driven organization. By using Knowi toleverage our data company-wide,we were able to accelerate a number of strategic goals with our partners.

Knowi helped the company in a number of ways to be able to quickly access critical business information. Whether it's for internal purposes or the partners, having very easy to use and quick access to the business data is great.

Datakwip provides an enterprise, cloud-based, machine learning facility analytics platform collecting streaming data for facilities across the globe. Knowi is a great partner for us. The Knowi platform enables us to build and deliver the advanced IoT analytics data products our clients need, quickly. On top of that, the Knowi support team is excellent. They are always there to help us when we need it.

Knowi provided the user experience and technical capabilities we were looking for but could not find in other analytics solutions.

The Knowi team has been prompt in providing support and a clear guidance when we needed it. I highly recommend Knowi to fellow companies.

  • Mike Cahill, CTO, Boku

    Mike Cahill, CTO

  • Simon Williams, CTO, Lemonaid Health

    Simon Williams, CTO
    Lemonaid Health

  • Cory Perdue, President/CEO, Datakwip

    Cory Perdue, President/CEO

  • Kevin Henderson, Senior Principal, Sagence

    Kevin Henderson, Senior Principal

  • Hadar Shezifi, CO-founder, MKT MediaStats LLC

    Hadar Shezifi, Co-founder
    MKT MediaStats

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