How do you choose the best platform for your Artificial Intelligence and Business Intelligence (BI) project?

Looking to technology for mechanisms to modernize and streamline business processes is essential for those who want to remain competitive and have better relationships with their customers and suppliers. However, with the wide range of products available in the market, it’s not always easy to choose the most appropriate and effective solution for each company and industry. The process of creating a Business Intelligence Platform is not always fast, but it’s extremely effective when we look at what the company already has in place and how far technology can take it.

The whole process until the solution is reached depends on pre-existing information and an elaborate analysis of the products available that can meet the company’s needs. “The first step in choosing the most appropriate cloud and data platform is Data Architecture Consulting, which consists, among other steps, in collecting functional information, determining Business rules and systemically mapping out information, all of which enables us to recommend a BI Platform that is the best fit for each client,” explains André Scher, the CEO of

André Scher points out that there are several options available in the market and that it is necessary to look at each one individually, along with several other factors. “We need to take into consideration aspects such as usability, growth, resilience, scalability, UX, security and governance, cost, future proof, and suitability for BI. We can mention names such as AWS, Google, Microsoft, and within them BigQuery, Aurora, Databricks, among others, that can perfectly meet the needs of the company,” he says.

According to the CEO of auctus ai., the next steps consist in building the platform (creating the data bank, ETL, data input and data collection and scrubbing) and building the BIs (Front-End design, Dashboard development and UX definition for the new BI’s). “But it is useless for the company to have all this technology at its disposal, if employees are unable to get the best out of it. That is why key user and support are essential,” says Scher.

Another important point mentioned by André Scher is the cost of implementing such a project. “Nowadays, any company in any industry and of any size can and should benefit from the existing BI platforms to add value to its business. The initial investment is really small when compared with the benefits and it’s even possible to do everything using free platforms if the client so wishes and if it fits into the company project. You just need the right professional to run the studies and projects,” he says.

Once the data has been structured and the platforms are up and running, the company can going beyond traditional Business Intelligence and run predictive and prescriptive analysis, allowing it to predict behaviors and ensuring a more efficient product or service delivery, with greater time and cost efficiency. “At auctis Ai, this is known as the Iris Platform. Creating the data bank, ELT, Data Warehouse, Data Lake, visualization and prediction. These tools can not only streamline processes within a company, but also ensure greater effectiveness and performance, resulting in benefits to the customers of the company that deploys it,” says Scher.


About – Augmented Intelligence

Belonging to the Innovatech Group, offers consulting services and develops solutions based on data science, artificial intelligence and business process automation (RPA).

The business purpose of is to provide customized solutions capable of reducing costs and improving the experience of our clients’ customers through the application of data science and intelligent process automation, where we automate not only repetitive tasks, but also integration between systems, using unstructured data and generating insights and predictions for making business decisions.

The solutions of can be applied in small to large companies, in business processes that are common to all financial, administrative, customer service, human resources and IT companies, among others.