NFLUX

NFLUX’s Integrated Control System centrally manages and monitors various systems and equipment.

Main Functions of an Integrated Control System

Real-time monitoring

Enable real-time monitoring to promptly detect abnormal situations.
ALERT

In the event of an abnormal situation, an alarm or alert is triggered to prompt immediate action.
Remote Operation

Enable remote control of the system.
Data Analysis

By analyzing the data, the system’s performance is developed and utilized for predicting the future.
Report generation

Exported reports assist in the execution of appropriate actions through the deliverables.

The process of collecting data based on the company's key performance indicators (KPIs) and transforming that data into actionable insights.

Support data-driven, objective decision-making that aims to be fair and unbiased.

Aggregate data from various sources to deliver comprehensive dashboards and reports.
Offer data visualization features to help users better understand complex data.

Sisense BI tool generates business insights through powerful data visualization and analytics capabilities, supporting decision-making based on data.

Key Features and Advantages of Sisense

Fast Data Connectivity and Exploration - Easily connect to various data sources and explore and analyze data through an intuitive interface.

Powerful Visualization Capabilities: Visualize data to help quickly grasp complex information.

Flexible Data Exploration: Easily analyze data and create the visualizations you need.

Real-time Dashboard: Update data in real time and build intuitive dashboards.

Empower Anyone to Work with Data: Ensure everyone can explore and analyze data and share ideas with an easy-to-use interface.

ML-based Predictive Analytics: Leverage ML algorithms to predict the future and support data-driven decision-making.

NFLUX uses statistical modeling, data mining techniques, and ML to predict future events based on historical data.

We focus on big data and data science, processing vast amounts of data from various sources to derive insights.

AI enhances data analysis and the process of predicting future events or trends by incorporating advanced technologies such as deep learning and natural language processing.
Leverage methodologies like deep learning and ML to identify patterns and predict future events.
Extract meaningful insights from the data, enabling them to be applied in a variety of situations.