Optimisation of information. Automatic reporting via SQL.

problems

The collection of data and its subsequent visualisation often makes analysis and data collection difficult.
Through a process of automatic reporting from the plant via SQL, and by means of aggregations and data manipulation, the process of efficient transformation of information is facilitated.

Objectives

Automating the data reporting process.

Facilitating data analysis through efficient transformation and aggregation.

Achieving an effective visualisation system for presentation.

  • Automating the data reporting process.

  • Facilitating data analysis through efficient transformation and aggregation.

  • Achieving an effective visualisation system for presentation.

Project procedure

1. Development phase

The necessary algorithms for data transformation and aggregation are designed and implemented.

3. Testing phase

Extensive testing is carried out to ensure the accuracy and reliability of the displayed data.

2. Implementation phase

An intuitive visualisation system is integrated, with customised control panels.

1. Planning phase​

The necessary algorithms for data transformation and aggregation are designed and implemented.

2. Development phase

An intuitive visualisation system is integrated, with customised control panels.

3. Testing and adjustment phase

Extensive testing is carried out to ensure the accuracy and reliability of the displayed data.

Results

The client has significantly improved its operational efficiency: the flow of information has been optimised and consistency in presentation has been ensured.
The system that has been implemented has laid a solid foundation for the continued optimisation and expansion of its reporting and visualisation systems.

Productivity increases by

+80%

Results

The client has significantly improved its operational efficiency: the flow of information has been optimised and consistency in presentation has been ensured.
The system that has been implemented has laid a solid foundation for the continued optimisation and expansion of its reporting and visualisation systems.

 
 

Productivity increases

+80%

Results

The client has significantly improved its operational efficiency: the flow of information has been optimised and consistency in presentation has been ensured.
The system that has been implemented has laid a solid foundation for the continued optimisation and expansion of its reporting and visualisation systems.

Productivity increases

+80%

Sector

  1. Manufacturing.
  2. E-commerce.
  3. Energy.
  4. Food and beverage.
  5. Healthcare.
  6. Banking.
  7. Logistics.

Technologies used

PDF

RapidMiner

Microsoft SQL Server

Excel

Sector

  1. Manufacturing.
  2. E-commerce.
  3. Energy.
  4. Food and beverage.
  5. Healthcare.
  6. Banking.
  7. Logistics.

Technologies used

PDF

RapidMiner

Microsoft SQL Server

Excel

Other use cases

Other use cases

Amazon Seller API Integration in ERP

Optimisation of information. Automatic reporting via SQL

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