Sabesp promotes improvements in SAP data management with support from Nalbatech

eSocial is the first project and will guarantee the quality of the information to be delivered within the legal deadline. Data for 41% of employees with record inconsistencies were corrected in record time

Sabesp, one of the largest basic sanitation companies in the world, serving 367 municipalities in the State of São Paulo, benefiting more than 27.7 million people with water supply and 21.4 million people with sewage collection, contracted NalbaTech to promote improvements in data management in the SAP management system, from the implementation of the Innowera platform, designed for mapping, updating and integrating data from different sources and with a strong specialization in SAP.

The choice of the Innowera tool meets a need by Sabesp, which sought a comprehensive solution to make improvements and new features in data management in the management system, without the need for major investments in ERP development and customization. Nalbatech was selected for the project because it has a team of specialists in the Innowera solution and with a high capacity to understand the company’s needs related to the extraction, sanitation, preparation and import of data from various sources into SAP.

Nalbatech was selected for the project because it has a team of specialists in the Innowera solution and with a high capacity to understand the company’s needs related to the extraction, sanitation, preparation and import of data from various sources into SAP. The second stage will involve the immobilization of assets and will start in January 2018, as informed by Ricardo Carvalheiro, manager of the Information Systems Department (CIS) at Sabesp.

Data sanitation for eSocial

Based on the high capacity of the Innowera tool to sanitize and manage data with management systems and the proximity of the eSocial entry into force date, Sabesp chose to start by treating and preparing employees’ social security and labor information. “We put the platform to use very quickly and found that 41% of employees had some inconsistency in their registration, which could have a major impact on the material to be sent to eSocial, which could generate considerable delays and fines,” says Carvalheiro.

According to him, “carried out in a few weeks, this work for eSocial was a great success, both because of the fast time and the results. The Innowera tool also allowed the construction of macros in MS-Excel to facilitate the correction and adequacy of employee data for reloading in SAP, greatly reducing the working time of Human Resources teams. Activities that would take several months were carried out in a few days. As a result, we had a significant reduction in costs and time ”, points out Carvalheiro.

According to him, “carried out in a few weeks, this work for eSocial was a great success, both because of the fast time and the results. The Innowera tool also allowed the construction of macros in MS-Excel to facilitate the correction and adequacy of employee data for reloading in SAP, greatly reducing the working time of Human Resources teams. Activities that would take several months were carried out in a few days. As a result, we had a significant reduction in costs and time ”, points out Carvalheiro. “We are satisfied with the results and prepared for new challenges. In addition, with the expertise and experience of the NalbaTech team, it was possible to solve complex problems, by mapping needs and delivering a project very quickly ”, comments Sabesp’s CIS manager.

SAP Security Rules

Another factor that weighed in the choice of the Innowera solution, according to Carvalheiro, was the platform’s specialization in the SAP environment, its ability to meet the security rules of the management system, such as consistencies and access profiles, for example. “This guarantees the safe execution of the processes and reduces the need to replicate these rules outside the ERP. The solution eliminated the manipulation and maintenance of data carried out manually by users, which led to error-prone processes and exhaustive tasks, in addition to affecting the security and quality of the data ”.

Another great benefit obtained: better decision making