Consulting Firms

Data analytics can be a valuable tool for business consulting firms in several ways:


Identify Opportunities

Business consulting firms can use data analytics to identify new market opportunities for their clients by analyzing market trends, customer behavior, and competitor activities.


Improve Operations

Data analytics can help businesses optimize their operations by identifying areas of inefficiency, reducing costs and improving productivity. Consulting firms can use data analytics to help their clients improve their processes, make informed decisions, and streamline their operations.


Provide Insights

Data analytics can provide valuable insights into customer behavior, preferences, and needs. Consulting firms can use this information to help their clients better understand their customers, improve their products and services, and develop more effective marketing strategies.



Predictive analytics can help consulting firms forecast future trends, identify potential risks and opportunities, and make informed recommendations to their clients.


Competitive Intelligence

Consulting firms can use data analytics to gather competitive intelligence and provide their clients with insights into their competitors' strategies, strengths, and weaknesses.

Data Analyst, Data Scientist & Data Engineers 

  • If you are a consulting company, we help you with highly qualify Data Analytics professionals from LATAM. We train, develop, and certify our team in key technologies like Power BI, Tableau, Looker,SQL, Python. Plus we supervise our team weekly to ensure the quality and effectiveness in their work. 

  • Our team is build by Business Engineers and Economics (they have the business background needed to have insightful conversation with customers to transform their data into value).

  • We are customer centric and business oriented, our mission is to create value to your company (and your customers) with high quality Data analytics services

Our Team


Data Analyst

-Build dashboards and analytics for business.

-Support in data collection and processing.

-Responsible for converting business requirements into technological tools.


Data engineers

-Responsible for architecture of solutions.

-Consolidates information for analysis.

-Development of ETL processes and cloud administration.


Data Scientist

-Expert in structured and unstructured data mining.

-Machine learning processes.

-Creates predictive models and advanced analytics for businesses.

-Manages Python and R as programming languages.

Visualize your success: Engage with our dashboard