We start by gaining insights into your business model and identifying challenges through workshops with managers and executives to assess your data needs.

By exploring your day-to-day operations and objectives, we can recommend relevant key performance indicators (KPIs), as well as tactical and strategic information, as well as select the best analytical approach to support business improvement.

Our data assessment framework provides a systematic way to assess your organization's data capabilities, highlighting both strengths and opportunities for improvement in areas such as data governance, quality, storage, and utilization – NOW x TO BE.  

This methodology offers a standardized approach to measuring data maturity, devising improvement plans, and ensuring that data aligns with the requirements identified through user workshops.

We help you build a comprehensive system to manage the data needed to meet user expectations and needs, serving as a foundational framework for ingesting, storing, processing, and analyzing data for insights.

We integrate multiple tools to create a single, scalable environment for end-to-end data workflows, supporting tasks ranging from basic reporting to complex AI applications.

Maintaining data quality to ensure accuracy is critical. Data governance encompasses the policies, procedures, standards, and tools that ensure that an organization's data remains secure, accurate, accessible, and usable throughout its lifecycle.

 This framework enables organizations to manage their data assets efficiently, improve decision-making, comply with regulations, and protect against unauthorized access. 

Our team of certified UX Design, Qlik, and Power BI experts focuses on transforming complex data into engaging visualizations, all tailored to the data needs identified by the Design Thinking methodology.

These tools allow users to analyze historical data, interactively investigate relationships and details, and set up alerts that notify them of trends, patterns, and anomalies, making it easier for them to discover key insights and make decisions on time.

Going beyond visualization, we help you examine indicators, relationships, and trends to understand the impact on your business and uncover opportunities that drive strategic decisions through actionable insights, improving operations by delivering the right information when needed.

To support different levels of data literacy, we have included tutorial cards with storytelling elements to make the information accessible and clear for everyone.

Statistical segmentation helps organizations clarify data, enabling targeted analysis, personalized content, adaptive decisions, and informed choices by segment or cluster.

Applying data science to large datasets with numerous variables helps create segments that appear more authentic and 'bottom-up', rather than based on arbitrary criteria with few variables (top-down).

Predictive analytics leverages statistical models, machine learning, and AI to forecast future outcomes from past and current data. 

The goal is to go beyond the diagnostic analysis of previous events to predict occurrences and trends, as well as understand the factors associated with these events (drivers), allowing organizations to take preventive measures that reduce risks, increase efficiency, and make well-informed decisions.