The project Dated
A continuous process

A singular step

The very first generation of Dated was marked by a succession of failures. The designers implemented the “postulate of the technician”: ” If I put the maximum of data, the users will find their happiness. “

In fact, the project Data is a process. It will be always in perpetual development, that it is on the plan of the number of users that of the discussed sets of themes.

It is important to not regard the project Data as single but like a succession from lighter projects, focused on the trades needs, answering each one a clearly identified and defined need. Each project being integrated with the precedent and opening runways for the following. A little like a puzzle without end.
It is the solution to follow closely the user expectations and to control the KING of the project.

4 times of the project

1. To identify the need near the users
   dated is the pivot of the decisional system. The stored data will be transformed into information and will be exploited by the user-decision makers. It thus seems primordial to place the user needs in the center of the problems.
   It is true whatever the project of computerization. But in the case of the project Dated , this omission does not forgive.
   Thus, each phase of the project will be defined under the lighting of the user needs, of the trades needs. One will grant a care particular to the delicate phase of collection and in particular the operations of cleaning, formatting and consolidation. Let us not lose sight of the fact that a data does not have a value in oneself. It is well the user-decision maker who will transform the data into information.
2. To modelize the data
3. To choose technical architecture
4. To establish and deploy
   Development of the diagrams of access to information and the rules of cleaning and consolidation. See also Dated and .

To read

In this work, Thomas H. Davenport and Jeanne G. Harris show that the fields of application of the data were formidably enlarged. The firms leaders are not satisfied any more to collect and store tremendous amounts of figures. They build today their competitive strategies around the lesson that they fire and thus obtain remarkable economic results from them. Which is their secret weapon? The analytical one: quantitative analyzes and elaborate statistics and predictive models supported by powerful data-processing means and management open to the figures.

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