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Business intelligence
Business intelligence defines all the resources, tools and methods to operate your business data.


Competitiveness of each business depends on its ability to make the right decisions at the right time. To do this, managers must have a constant as factual as possible picture of reality. They must also have information about the opportunities and threats the company can face in the future. Business intelligence is thus to exploit the data generated by your operations and which is valuable.

In this area meltingSoft will help you extract the information to facilitate operation. So you can have valuable data to guide strategic decisions and improve the overall efficiency of your organization.

our expertise

Our expertise covers the five major steps of business intelligence.

  • Data Extraction

    We use ETL (Extract-Transform-Load) for performing massive synchronization of information from one data source to another.
  • Analysis

    We identify the key information that characterizes your operational data, analyze, quantify and finally aggregate it in management indicators.
  • Reporting

    We deliver decision support tools for each pattern of use and for each business of your company.
  • Dashboards

    We're providing your decision-makers dashboards to monitor their activities, to measure the gap between the targets and results, to deduce thereby improvement levers.
  • Datamining

    We help you build knowledge from data.
We adapt our language to the profile of our spokespersons and we can work with your technical sales, your engineers as well as your operators, your users or your service managers.

our expertise

meltingSoft can assist you throughout your project, from the extraction of data to the operational maintenance of your decision-making tool.

  • Data warehouses
  • Feed tools and data exchange (EAI, ETL)
  • Meta data management. Data quality
  • Analysis and restitution tools. Decision Portal

our methodology

During our missions, we follow generally the following steps:

  • Solution design

    • Analysis of business requirements
    • Analysis of functional and technical requirements
    • Target architecture: functional architecture and choice of tools
  • Detailed study

    • Modeling warehouse
    • Modeling data marts
    • Feed specifications
  • Implementation

    • Data feed
    • Recovry of historical data
    • Reporting tools
    • Data administration
  • Start of operation

    • Acceptance
    • Organization and administration
    • Training and deployment