DEMOS
Component production
Component production
The production of components is a fundamental area in several industry sectors, and its efficiency is a determining factor for the competitiveness of companies. Visualization tools in data analysis can be an excellent strategy to increase productivity and optimize production processes.
Challenge/Problem
One of the main challenges in component production is to guarantee the quality and efficiency of processes, avoiding delays and repetitive work. In addition, it is essential to manage costs and product delivery times. All these challenges require a detailed analysis of production data and fast and assertive decision-making.
Solution
In this solution, two main areas of a production company were combined: the HR and industrial areas. The evaluation of production indicators such as OEE (Overall Equipment Effectiveness), which measures the overall efficiency of the machines employed in the line, evaluating the manufacturing capacity of new items, combined with in-depth analyses of people focusing on their characteristics and behavior, provide managers with a very broad overview of their company and its operation.
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Construction
Construction
Construction project management is a complex and challenging area that involves various activities such as planning, budgeting, execution and project control. The analysis of data through the use of visualization tools enhances the efficiency and effectiveness of the business.
In the construction sector, time is a decisive factor for the success of projects and company success, particularly when making decisions. An effective way to streamline processes and make bold decisions is to rely on a tool that can process and analyze large volumes of data quickly and automatically.
Challenge/Problem
Improving productivity in all sectors by creating metrics that help professionals solve project problems and avoid unnecessary efforts for managers and administrators to have a broad view of the whole corporate scenario.
Solution
PowerBI reports are used to analyze the performance of suppliers and collaborators, evaluating the quality of services provided, deadlines and budgets. In short, using this tool in construction management allows a more precise and efficient data analysis, facilitating decision-making and increasing project management efficiency.
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Distribution and logistics
Distribution and logistics
Distribution and logistics management involves various activities such as stock management, order management, transport and product delivery. With visualisation tools, it is possible to improve the efficiency and effectiveness of distribution and logistics management.
Challenge/Problem
To ensure that the products arrive at their final destination on time and with quality. Monitor several performance indicators, such as delivery time, damage index and loss occurrences.
Solution
Identify patterns and trends, allowing preventive actions. With the integration of several data sources, it is possible to create customized reports and dashboards that enable the constant monitoring of these indicators. The integration of real-time information enables faster and more efficient decision-making in problems in distribution and logistics.
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Freight Transportation
Freight Transportation
Area management in freight transportation requires a holistic approach that considers route planning, inventory management, fleet selection and regulatory compliance. With efficient management, it is possible to ensure on-time delivery, minimize operating costs and maximize fleet utilization.
Challenge/Problem
The challenges in freight transportation field present unique challenges, such as dealing with different types of cargo, varied routes and destinations, and ensuring compliance with safety regulations and proper fleet maintenance. Implementing data management solutions to overcome these challenges and ensure efficient management in the field is crucial.
Solution
Using an analysis source that provides its users with a broad and up-to-date overview of relevant indicators in the various areas of this sector guarantees an increase in the capacity of these professionals to make efficient decisions in managing their areas of influence. It also allows better visibility of fleet performance, delivery tracking, preventive maintenance scheduling, fuel management and claims management, always aiming to reduce costs, increase efficiency and ensure compliance with safety regulations.
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IS4Telco – Telecommunications fraud
IS4Telco – Telecommunications fraud
A platform that, using AI, analyses call records and alerts in an interpretable way the cases of possible fraud. With this information, reactive actions can be taken to stop the threat and implement procedures to prevent future issues. This is complemented by interactive visualizations, KPIs and global overviews of calls, fraud and quality of CDRs to support management decision-making.
Challenge/Problem
According to the Communications Fraud Control Association (CFCA), in 2021, Telecom lost an average of 2.22% of its Operating Income to fraud. This value increases to more than 2x, with the vast majority showing losses of over 5%.
Solution
IS4Telco allows fraudulent cases to be detected so that reactive actions can be taken to stop them and procedures implemented to prevent them.
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Passenger Transportation
Passenger Transportation
The management in the passenger transportation area requires the adoption of data analysis tools, which provide precise and objective information about the service operation. With this information, it is possible to make strategic decisions regarding routes, schedules, fleet maintenance, and driver training, ensuring efficient and effective management.
Challenge/Problem
One of the main challenges in implementing data analytics in passenger transportation is the integration of different data sources, such as route information, travel distances, and drivers’ working hours. In addition, it is important to ensure the accuracy of the data collected, as any inconsistency can negatively affect analysis and decision making.
Solution
This solution in the passenger transportation area enables real-time data analysis, optimizing the management of routes, work schedules, maintenance, and fleet utilization. With these reports, it is possible to identify improvement opportunities and make strategic decisions to improve service efficiency, ensuring safer, more comfortable, and more profitable transportation.
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Retail
Retail
Increasing effectiveness and efficiency in the retail area is fundamental. With this, it is possible to identify consumption trends, optimize inventories and improve price and sales management, enabling better decision-making and reducing operational costs. Furthermore, this analysis contributes to better stock management, enabling the maintenance of adequate levels of products and reducing the probability of stock-outs.
Challenge/Problem
Implementing data analytics in retail can face challenges such as data quality, systems integration, staff training and appropriate choice of tools. It is essential to overcome these challenges to ensure the effectiveness of analytics and enhance business efficiency.
Solution
A data analytics and visualization solution can be used in retail to provide clear and objective views of the data collected, facilitating decision-making and identification of consumption trends, stock optimization and price management. In addition, these solutions offer easy integration with different data sources, enabling a more comprehensive and efficient analysis.
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Utilities
Utilities
Utilities management involves efficiently and effectively managing water, energy and gas resources. For this, it is essential to implement technological solutions for data analysis, which allow better monitoring and management of these resources, identifying opportunities for optimisation and cost reduction. In addition, long-term strategic planning is required, considering sustainable development.
Challenge/Problem
Need to deliver essential services efficiently and cost-effectively while adapting to a changing market of energy transition and digital transformation. In addition, there are increasing pressures to improve sustainability and energy efficiency. Companies must implement advanced data management and analytics solutions to address these challenges.
Solution
An efficient solution for utilities management is the implementation of monitoring and data analysis systems. These systems immediately identify faults and anomalies, optimising preventive and corrective maintenance and reducing operating costs. Furthermore, this analysis allows better management of resources, reducing resource consumption and contributing to a more sustainable operation.
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Utilities
Utilities
Operations and service management require data analysis tools to gain insights into the service operation. This information makes it possible to make strategic decisions regarding resource allocation, infrastructure maintenance and demand planning. Efficiently managing these services is essential to ensure supply quality, reduce operating costs and meet customer expectations. Data analysis enables more accurate and result-oriented management, which is fundamental in a highly competitive and complex sector.
Challenge/Problem
Operations and service management face challenges such as complexity of operations, uncertainty in demand and the need to meet customer expectations. To overcome them, it is necessary to implement data analysis tools, adopt a result-oriented approach and maintain flexibility to adapt to environmental changes.
Solution
A data analytics and visualisation solution in operations and service management involves the creation of interactive, dynamic visuals that enable more accurate and faster data analysis. These elements can be customised to meet the company’s specific needs and thus present important information about the entire operation, enabling managers to make decisions based on complex data. The implementation of these reports and indicators can help reduce operational costs.
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Waste
Waste
The development of societies leads to a continuous increase in the production of large quantities of waste. This solution is a robust waste management software that addresses all phases of the urban cleaning processes and is cloud-based. Able to interact with a wide variety of IoT methodologies and sensors, it is operated so that more efficient working methods can be implemented and adapted to the specific needs of each city. This software provides the most commonly used performance KPIs for urban waste collection, updated automatically.
Challenge/Problem
Need to implement collection processes and consequently also the need to control and manage these processes.
Solution
The analysis of collection levels for the different types of waste and collection points, levels of execution of scheduled collections, awareness of engine-hour consumption and equipment power take-off allow an immediate response in the search for improvements in the effectiveness and efficiency of these services.
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