Last updated
Data Analytics and Predictive AI
Turn your scattered data into strategic decisions. Automated dashboards, intelligent forecasts, and natural language queries so every decision is backed by data.
Request a Data AssessmentIs your data working for you?
Most companies in Latin America have the data but not the tools to turn it into a competitive advantage.
Data Silos
Information scattered across spreadsheets, CRMs, ERPs, and emails that don't talk to each other.
Manual Reporting
Hours spent building Excel reports that are already outdated by the time they're delivered.
Reactive Decisions
Without predictive capabilities, decisions are made when it's too late to change the outcome.
How Does It Work?
A structured 4-phase process to turn scattered data into measurable competitive advantage.
Data Audit
We map all your data sources: CRMs, ERPs, spreadsheets, databases, and cloud services. We identify silos, duplicates, and integration opportunities.
Integration & Cleanup
We build automated ETL pipelines that unify your data in a centralized data warehouse. We eliminate inconsistencies and establish data quality rules.
Dashboards & Insights
We design interactive dashboards with the KPIs that matter to your business. Your team accesses real-time updated data from any device.
Predictive Models
We train machine learning models on your historical data to anticipate sales, demand, churn, and customer behavior with measurable accuracy.
Our Solution
A unified data platform that turns scattered information into actionable insights.
Automated Dashboards
Interactive panels that update in real time with the KPIs most relevant to your business.
Predictive Analytics
Machine learning models that anticipate sales trends, demand, churn, and customer behavior.
RAG (Retrieval-Augmented Generation)
Query your documents and knowledge bases using natural language. AI searches, analyzes, and answers.
Automated Data Pipelines
Automated extraction, transformation, and loading (ETL) from multiple sources into a unified data warehouse.
Anomaly Detection
Proactive alerts when unusual patterns are detected in sales, expenses, inventory, or operational metrics.
Natural Language Queries
Ask your data questions in plain English and get instant answers with no SQL or technical knowledge required.
Technologies We Use
World-class tools adapted to the needs and budgets of companies in Latin America.
Impact on Your Business
AI-powered data analytics transforms how your company makes decisions and responds to the market.
Frequently Asked Questions
We answer your questions about data analytics and predictive AI.
Which data sources can be integrated?
Virtually any source: databases (PostgreSQL, MySQL, SQL Server), spreadsheets, CRMs (HubSpot, Salesforce), ERPs, REST APIs, CSV/Excel files, Google Sheets, and cloud services such as BigQuery or AWS. If your data exists in digital format, we can integrate it.
How is our data protected?
We implement encryption in transit and at rest, role-based access, query auditing, and compliance with local data protection regulations. Data is processed on secure Google Cloud infrastructure in the region of your choice.
Are dashboards updated in real time?
Yes. Depending on the data source, dashboards can update in real time (streaming), every few minutes (near real-time), or at whatever frequency you define (hourly, daily). Most of our clients operate with updates every 5-15 minutes.
How much data do we need to get started?
For dashboards and descriptive analytics, any data volume is enough. For predictive models, ideally we need at least 6-12 months of historical data. However, we start with whatever you have and keep improving the models as more data accumulates.
How much does it cost to implement AI analytics?
Our plans start at US$29/month for automated dashboards with basic data sources. Solutions with predictive analytics and machine learning models start at US$149/month. The final cost depends on the number of data sources, model complexity and processing volume. We offer a free data maturity diagnosis.
What is RAG and how can it help my company?
RAG (Retrieval-Augmented Generation) lets AI query your internal documents — manuals, contracts, knowledge bases, emails — using natural language. Instead of searching folders or asking colleagues, your team asks questions like "what is the returns policy for customer X?" and the AI answers with precise information drawn from your own documents.
Data Analytics by Industry
Every sector generates data with its own characteristics. Here's how predictive AI transforms decision-making in key Latin American industries.
Retail & E-commerce
Demand forecasting by SKU, inventory optimization, and purchase behavior analysis. Retailers in Mexico have reduced stockouts by 40% with predictive demand models.
Financial Services
AI credit scoring, real-time fraud detection, and risk analytics. Fintechs in Colombia process credit applications 5x faster with predictive models that evaluate over 200 variables.
Logistics
Route optimization with real-time data, delivery time prediction, and fleet efficiency analysis. Logistics operators in Chile have improved on-time delivery by 35%.
Healthcare
Hospital occupancy analytics, service demand forecasting, and clinical indicator dashboards. Clinics in Peru have optimized operating room scheduling, increasing utilization by 25%.
Related Services
Recommended Reading
How to Reduce Operating Costs with AI
Prioritization framework and real cases with proven ROI.
Read articleBlogWhat Is AI Process Automation?
Fundamentals of AI applied to business data and processes.
Read articleBlog7 Benefits of AI for SMBs
Predictive analytics as a competitive advantage for small businesses.
Read articleMake Data-Driven Decisions
We run a free assessment of your data maturity and show you how AI can transform your insights.