Analytics
Always make the best decisions for your company.
In the modern world, data is an organization's most valuable asset.
And knowing how to take advantage of the information they provide can be the difference between becoming one more, or the leader in your segment. The analytics unit brings you everything you need to support your organization in its digital transformation, becoming a data-driven organization.
To do this, we support you in all the necessary steps, data processing, Analytics and Artificial Intelligence.
Data processing
Know your data and make the best decisions for your business
In order to get the most value out of your organization's data, it must have quality. And iT.eam is able to bring this quality through its process of data mapping, centralization and unification. We can consult the data in various databases and ensure that it is as complete, up-to-date and correct as possible.
Discover the advantages:
Aumento nas vendas Diminuição de despesas Previsão de acontecimentos Interfaces homem-máquina avançadas Melhora a experiência do cliente
Melhorar a eficiência e inovação Diminui riscos Conheça melhor seus clientes
Your
data:
Centralizados Padronizados Validados Completos
Predictive Analysis
By analyzing data patterns with mathematical models we can predict the operation of your business.
Through it we can understand what happened, why it happened, identify a plan for improvement and simulate results based on the plans identified.
Predictive analysis can be used to optimize various areas such as:
Identificação de Fraudes Forecast de Vendas Análise de Marketing Manutenção de Ativos Identificação de Preferencias Etc.
By analyzing structured and unstructured data, we can teach IBM Watson Explorer to work continuously, standardized and intelligently for you.
Several customers already use it for service centers, as a document classifier, incident analyzer, virtual assistant, and as a tool capable of providing decisive information for decision-making.
With IBM Watson you have it:
Gain competitive insights from large masses of structured and unstructured data.
Reduce the need for human interaction with process automation.
Virtual Assistants capable of automating work and analyzing the flow of a work process and even customer satisfaction.
