by mnubo
We provide Big Data Analytics as a Service and Business Logic as a Service to connected object manufacturers.
Products
mnulabs:
We help simplify Big Data and Analytics for IoT and M2M. mnulabs empowers the IoT developer community to build, deploy and manage custom analytics, data-rich applications, and business logic. mnulabs provides flexible APIs, reusable sensor templates, easy-to-use libraries and SDKs, documentation, training materials, and access to a sandbox environment.
smartobjects analytics
Smart analytics is the key to monetizing IoT data. Our analytics services enable businesses to derive strategic insights and actionable intelligence from their machine data via a rich-suite of IoT Data Analytics – descriptive, predictive, and prescriptive. Our services deliver real-time analytics, on-demand analytics, and batch analytics.
smartobjects cloud
Highly scalable and reliable, our hosted and managed Big Data platform that can be deployed in a public, private, or hybrid cloud. Our best-in-class Big Data infrastructure handles a large volume, variety and velocity of static data and IoT data streams. Our cloud services can easily model real-life, complex value chains through sophisticated web services.
Services
BASE: Data as a Service
Aggregation, integration and organization of the collected data streams in a manner that makes them suitable for analysis. Implementation and management of the data store holding the data sets that have been integrated for the analytics process. Support for object modelling, sensor templates, and object lifecycle management.
PRO: Analytics as a Service
Real-time processing and visualizations of the data by an analytics engine and the subsequent delivery of insights and analysis (diagnostic and descriptive). The data is presented in form of dashboard, reports, and mash-ups. Access to a rich-suite of aggregate-level and per-object analytics APIs to enable custom data-rich applications.
PREMIUM: Intelligence as a Service
Prescribe actionable, real-life measures based on the predictions (predictive and prescriptive analysis), in order to prevent, mitigate or ensure certain outcomes. Batch processing of custom reports and targeted queries to enable business decision-making. Feeds to integrate machine data analytics to existing business processes.