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Splenda, Inteligencia, Tecnologia, Consultoria, Negócio, Dado, Splenda IT, TI


BI - Business Intelligence

Business Intelligence is a set of tools and techniques responsible for the collection, organization, analysis, sharing and monitoring information to be used by companies to help management and decision-making process. The objective of BI is to structure raw data and present them in a clear, simple and direct way.

Big Data

Realizing the importance of the data that are constantly generated by various types of sources (social medias, enterprise applications, images, messages and more) were created tools that can store quickly and efficiently a great amount of information. Through the study and analysis of these data it is possible to obtain very important information for the creation and reformulation of an effective business plan. From this set of needs arose Big Data, in which Splenda have pioneered, implementing successful projects with quality, meeting the needs of our customers.

Data Integration

Data integration is the combination of techniques and business processes used to combine data from two or more different sources and provide a unified view of the data.Data integration can be used to merge data from different areas of the company to yield comparison or when two companies in partnership need to combine their databases among other cases.

SOA - Service Oriented Architecture

Through SOA it is possible to create interoperable business services that can be easily reused and shared between applications and businesses. The advantages of this architecture is the possible return for a service without the need to change the entire business structure, or even the easy integration of SOA-based systems.

BPM - Business Process Modeling

The goal of BPM is to optimize operational processes increasing their execution speed, improve the monitoring of each step of the process and, through study and analysis of business, constantly improve its flow. For this purpose are used best management practices such as process mapping, modeling, documentation, communication plan, automation, monitoring through performance indicators and a process of continuous improvement.

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