Master Data App

Master application for the device, enabling cross-sectional and comparative analysis of data coming from many buildings.

About client

International company, which delivers a wide range of services in the PropTech sector. Innovative solutions make possible effective management of buildings and cost optimization, increasing tenant safety and satisfaction. Thanks to the use of energy-saving technologies, the activities of the company have also a positive impact on environmental protection.

Business challenge

The aim of the project was to create a master application for some specific device, enabling cross-sectional and comparative analysis of data coming from many buildings.

Team composition

  1. Project Manager
  2. Business Analyst
  3. Dot.Net Developer
  4. AI Scientist

Our solution

Application EFFECT, which main functionalities are: management, database replication, data analysis, and presentation of the results on dashboards and reports. The analytical algorithms use Machine Learning to detect anomalies and patterns. The user gets a tool that detects anomalies taking account of data gathered from numerous objects. The application can be installed in the local network, remote server, or in the cloud.

Technology used in project

InfluxDB

.Net, C++, InfluxDB, Kapacitor with Python algorithms, Grafana.

How about repeating the success of our clients?

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Value we added

energy audits, property managers, manufacturing plants

Future perspective