Computing power available on demand
Powerful interfaces for reporting and data science
Azure Active Directory secure access to data
Azure Power BI Embedded the best reporting engine in the cloud
Optimisation achieved with Smart RDM
Cloud resources usage optimisation
Smart RDM allows analyses to be performed cyclically, according to set schedules and ad-hoc.
The Big Data module uses cloud resources by opening a computing cluster to perform the analysis. Once the calculation is complete, the cluster is closed and the results stored on dedicated resources.
Data storage optimisation
Data can be stored in data warehouses in relational form – Azure Synapse Analytics / Azure SQL Database or as Data Lake repositories. Data and analysis results can be compressed or archived to improve performance and reduce system maintenance costs.
Industry-specific algorithms
Drawing on our industry experience, we use proven industry algorithms for analysis, monitoring and prediction modules. Ready-made system components significantly speed up the implementation process and effective use of the platform. This results in a short return on investment period, which currently averages two years.
Choice of the best type of workflow for processing (ETL/ELT)
During the Smart RDM system development, we have carried out many integrations with many production and business systems for our customers. Thanks to this experience, we can design and implement the optimal processing solution in new environments.
Parameterisation and management of ETL processes from the Smart RDM
Smart RDM as a report distribution platform also allows managing analyses by adjusting their schedule and parameters from the application interface. The use of schedules and predefined fields for parameterisation of analyses enables intuitive management of preparing the regular reports.
Access to reports from anywhere and on any device
Cloud resources enable access to reports via web applications (also on mobile devices) from any location or device. Optimised monitoring and analysis processes allow access to reports in real-time. Everything takes place in a secure environment and according to the permissions defined in the client’s Active Directory.
Implementation of business processes entirely in the cloud or in a hybrid architecture
Smart RDM can operate in a cloud or hybrid environment. In the latter model, analyses are performed within the Microsoft Azure cloud, while the results and source data are stored on customer devices (on-premise environment). This offers the possibility to adapt the solution to the customer’s data storage requirements.
Import and export management
The data exchange scheduling mechanism implemented in the Big Data module allows for import and export management.
This mechanism enables the exchange of large amounts of data between relational databases, historians, and other data repositories, both manually and automatically. Data exchange can take place between on-premises, cloud, and hybrid environments.
Benefits of using Smart RDM and Microsoft solutions
Smart RDM is available directly in Microsoft App Source
System scalability
Security
Optimisation of the use of cloud resources
Industry-specific algorithms
Access to real-time data
ROI in 2 years on average
Platform for managing analyses and reports
