Indicium Tech

The Client needed a personalized BI solution to visualize data from sales, production, stock, finance, and clients. 

To tackle these challenges, Indicium integrated data from various sources, developed a cloud database structure (Data warehouse and Data lakes), and deployed its customized BI.

With our solution, our Client was able to view personalized dashboards and make data-driven decisions in real-time.

The Company wanted to use data-based prospecting and needed a solution to target which companies and/or economic groups were engaging in the Brazilian Free Energy Market. 

Indicium was challenged to create a dynamic dashboard providing an overview of the Brazilian energy free market for real-time consultations, considering historic data from 2012 until now.

We created an automated ETL from the Brazilian Chamber of Commercialization of Electric Energy (CCEE). Then, categorized this dataset using data modeling techniques:

1. Group modeling: segmented all companies into groups according to specific variables

2. Cloning models: grouped models according to our client’s requirements to prospect similar companies outside the free energy market 

As a result, the Client was able to access all information on an interactive dashboard and perform analytical queries in real-time

The Client reached us with the following doubt: how can we forecast our next clothing collection in advance?

Indicium was challenged to create a customized sales forecasting model based on historical and present data. Our personalized application was built with three major features: 

1. A BI with 10+ years of data
2. Forecasting modeling for two years of sales
3. A customized collection planner

At the end of the project, we delivered a robust sales forecasting application that anticipates trends and enables data-driven planning for our Client’s future collections.

The Client needed a complete overview of all Brazilian Companies to perform advanced analytics and make informed decisions. 

Indicium was challenged to gather public information, available at multiple governmental sources, on 40 million Brazilian companies.

To tackle that, we implemented and automated an ETL structure on all government websites and stored this information on a customized cloud database. Lastly, we transformed this huge dataset into real-time visualizations by creating a personalized dashboard.

Our solution enabled the Client to use advanced market intelligence tools to achieve business outcomes.

The Client wanted to have deeper insights on its return on investment per marketing channels and campaigns. 

As a result, Indicium was challenged to create an attribution model to specify the company's media return on investment. 

To achieve that, we created an automated ETL across all marketing channels, CRM, and ERP systems. Then, our team organized a new cloud database (DW) and

 deployed personalized dashboards.

Our solution translated massive datasets into comprehensive visualizations that enabled the Client to make data-driven marketing decisions based on its return on investment per channels and campaigns.

The Client needed to visualize all the data from its logistics software in real-time.

To overcome this challenge, Indicium created a BI using Metabase. Also, we developed crawlers and implemented a cloud database (DW and Data Lake) with real-time data updates.

After the BI deployment, the Client was able to make real-time decisions in terms of sales, costs, productivity, and effectiveness based on their data.