Success story II

  • Home
  • /
  • Success story II

Statement

Development of a software tool to provide Commercial Intelligence to a worldwide silicon producer and marketer.

This project describes a case study in which Legato was used as a tool for analysis and prediction in the behaviour of a certain market.

For what reason and for what purpose?

The phenomenon of globalisation of markets has introduced great variations in the business models of companies. Today the market is the world and companies plan their growth strategies considering potential suppliers or customers in the five continents. The opportunities provided by this model are accompanied, however, by multiple threats. In any market scenario the knowledge of its parameters is critical for making good decisions. Legato, used as an engine of analysis and prediction of market behaviour, provides intelligence and documented arguments for making good decisions.

In this success story, we see how the use of Legato helps a multinational dedicated to the manufacture and marketing of silicon monitor the behaviour of the global market in which it operates.

Application of Legato.

Business Intelligence. It is the value that Legato brings to this multinational in the deliberation and decision making related to its business. Firstly, sources of public data that different international organisations publish with a certain periodicity were identified. As always, the data is there, the necessary thing is to gather it and analyse it all to extract from it the very valuable information that is hidden amongst the great chaos of figures and variables.

Once all the sources have been identified, the big data technology that Legato incorporates managed to sort, categorize, clean and integrate all this abundant amount of information. Once this phase was completed, Legato designed a scorecard to present its results clearly and intuitively, responding to a set of previously defined queries with the client. Market flows, imports and exports of the different countries, number of tons of operations, amount, time periods, geographical areas … This and other relevant information (exchange rates or identification of deviations) was not only integrated historically taking data from the last decades, but it is updated automatically in the dashboard of the client with all the data that is made public.

After monitoring everything that happened in the past (being able to interpret trends, highlighted operations, milestones …) and automate the updating of all sources of value, it was time to apply automatic learning technology to offer information on future scenarios. For this, as in all the phases of prediction of our projects, Legato elaborated a multitude of algorithmic combinations, until identifying the most effective one to respond to the assumptions made. We train the model with historical data and check its validity to start applying it with real-time data.

Conclusions.

At present, our client immediately knows all the data that affects their market, can respond to a multitude of relevant queries for decision making, has access to predictions of future behaviour with a margin of error assessed. In short, he knows his position better in the market and has access in a simple and intuitive way to a large amount of information without the need to try to extract knowledge from the personal and periodic analysis of a chaotic data scenario.