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Post: Ogayar wins the Financial Times Awards "Innovation in Collaboration"

We are proud to communicate that O'gayar Consulting has been proclaimed by Financial Times the winner of the "Innovation in Collaboration" award, thanks to the work developed together with Cuatrecasas in which the analysis of data is combined with legal knowledge. Many thanks to the organizers of the evening, to Cuatrecasas for their great work and, of course, to the team of O'gayar Consulting for such an intense year.

FT award comments:

"STANDOUT - The law firm’s labour practice harnessed the expertise of Ogayar Consulting, a data company, to improve productivity in the citrus industry in Spain. Using data about overtime practices combined with the firm’s legal expertise, they navigated union concerns to increase profitability and worker satisfaction in seven citrus companies. Commended: Javier Molina"

Q: What is Ogayar's job?

A: Ogayar is dedicated to the implementation of intelligent data capture and analysis systems, always in the environment of productivity; as much of the machines as of the people. What is now called Industry 4.0 we started to develop it nine years ago from the concern of Labor Law firms. May be we could call it 'Society 5.0'. Our systems are dedicated to capturing data objectively and, using analysis algorithms developed in R, eliminate straw from the grain to know what is really happening.

Q: Why in citrus industry usually do a lot of overwork time?

A: There are several factors for that:

  • In Spain the Agreement of the citrus sector favors the fact that there are numerous extraordinary hours since the "being in plant" is paid and not the "producing in plant"
  • It is a perishable product, therefore it is necessary to produce sometimes on weekends
  • The productivity control was very little implemented
  • It is a sector very marked by seasonality, so many workers should try to make enough money to live all year

Q: Why do workers perform overtime?

A: I can think of some possible answers to this question:

  • There is a problem in the process that makes the productive system inefficient
  • Workers do not maintain an acceptable work rate because what they want is to spend more hours at the plant so that they are paid more
  • There is more work than the system (machines + people) can assume in a reasonable time

Q: What makes this a success?

The support that we have obtained both from Labor Law Offices and from Trade Unions representing workers is mainly due to this: the objectivity of the data and the universal accessibility both to the data and to the analysis and results obtained.

Thus we have been able to reduce overtime in many of our clients, locating and eliminating the problems of the process, only the Voluntariness of the worker is left who, when being observed, has no choice but to alter his behavior.

We can almost say that it is a sociological experiment that really works, the individual behavior depends on the behavior of the whole village. When the village alters its behavior by some external factor, the individual also alters it by making the movement larger in the desired direction.

It is clear that at the beginning it was difficult for workers to accept this level of control willingly. However, afterwards they have been the ones who, through their legal representatives, have requested the scale-up since they have seen that:

  • Working less time (working hours of 4 to 6 hours) get the same salary and even extraordinary remuneration for productivity plus
  • Work accidents have decreased since they work less hours and, therefore, are less tired
  • It is perfectly distinguishable when a productive problem is motivated by the machines or by the process and not by the workers, and the workers can contribute initiatives to improve the process

For this to be the case it is necessary that the analysis system incorporates knowledge of Labor Law: Applicable sectoral agreements, company agreements, previous judgments, etc. These are the rules of the analysis that are incorporated into the algorithms, together with the experience and knowledge of the clients and the workers of the companies.

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