The Data Warehousing incorporates data integration and conceptual, logical, and physical models to support business goals and information needs of end-users.
A Data Warehouse (DW) is a data repository that provides a unique and comprehensive view of current and historical data is the basis for a successful Business Intelligence initiative.
Creating a DW requires Mapping data between systems , source and destination, as well as capturing details of those transformations in a metadata repository.
Our Data Warehousing solutions include:
- Definition and construction of data warehousing
- Data Governance
- Agile Data Warehouse Design: Agile Analysis and Modeling
- Data Management: Data Integration (ETL) and Data Quality
- Building Data Repositories (DW and Data Marts)
For Peter Druker, “The success of organizations depends on the intelligent use of available information” .
You can count with our experience and sharing in this type of projects implementation in different activity sectors. We stand by your side in the current challenge of turning data into useful information into the challenge of “available information smart use”.
The Decision support systems (SADs) arise in order to solve the human decision problem , which can not be automated because it is an unstructured problem.
“The Humans follow a rational decision-making process” – H. Simon, 1960.
- What is the problem?
- What are the alternatives?
- What is the best decision?
- Is it working?
In order to be able to make good decisions, we need information, to support us in the various phases of this decision-making process, and that is the role of the SAD.
Decision support systems allow organizations to gain competitive advantage, optimize costs, increase profits, manage risk, manage fraud, through information that is useful for decision making at all levels, operational, tactical and strategic, and on the other hand, guarantee that what is thought is executed.
The Business Intelligence (BI) is a strategic initiative aimed at providing the right information at the right time and in the right format of generate action .
Decision making (action) based on useful information is the basis for Value generation , for business decision optimization and for the performance of a company.
Based on best of bread of business intelligence, we build analytic solutions that enable you to control and monitor your business effectively.
The User Experience or User Experience (abbreviated as UX ) is how a person feels when interacts with a system that is, any and all forms of interaction of a human with a machine .
This topic becomes as much or more relevant, when the objective is to enable the company with solutions that allow to effectively communicate quantitative information and relevant to day-to-day management, or dashboards .
Dashboards that communicate clearly , accurate and efficient are the result of careful and informed visual design.
Taking into account the purpose of dashboards, these should be designed to support the following process of monitoring visual :
- See the general status of the situation
- Focus on information elements that need attention
- Quickly access additional information needed to take action
Stephen Few identifies 13 common mistakes in dashboard design in most current dashboards that organizations should be aware of in order to avoid them:
We want to be on the side of our customers and support them in proper building of dashboards by applying the best practices studied and tested not only by international authors such as Stephen Few, but also fruit of our experience. In this way we will know that the investment made will become Value .