Keblar solutions . Data Management, Analysis and Forecasting

We provide comprehensive data services, including collection, management, and analysis, tailored specifically to your organization and objectives. Unlike generic, automated AI platforms, our approach is custom and project-specific, ensuring that your data is structured, analyzed, and interpreted within the exact context of your business. We organize and manage your data securely, transforming it into actionable insights through clear graphs, charts, maps, and concise summaries that support informed decision-making.

We also deliver data-driven predictions using advanced machine learning tools, applied exclusively to your datasets. All analysis is performed in a dedicated and controlled environment, with strict attention to data privacy, confidentiality, and ownership. This ensures your data remains secure, is never reused or shared, and is analyzed solely to support your strategic planning and long-term goals.

Custom-built,
not generic

Human-guided
and contextual

Privacy-first & with full control over data

Common use cases:

Business performance monitoring

Analyze sales, operations, or financial data to track key performance indicators, identify trends, and support strategic decision-making

Customer and user behavior analysis

Understand how users interact with your website, platform, or services, helping you improve engagement, retention, and conversion rates

Demand and trend forecasting

Apply machine learning models to historical data to predict future demand, usage patterns, or growth trends in a controlled, custom environment

Operational optimization

Identify inefficiencies in processes, resource allocation, or workflows by analyzing operational data and highlighting improvement opportunities

Reporting and decision support

Create clear dashboards, visualizations, and summaries for management, stakeholders, or regulatory reporting, based on your specific requirements

Sensitive or confidential data analysis

Perform advanced analysis on proprietary, regulated, or confidential datasets where data privacy, ownership, and controlled access are critical

Data-driven project examples:

Epidemium 3

Data scraping, management, analysis, and visualization for Epidemium, an open-science French cancer research initiative

Barcelona precipitation analysis

Data collection, preparation, and analysis to identify causes of extreme rainfall anomalies using web scraping and existing databases

Cryptopunks: Analysis & predictions

Data collection, exploration, processing, and analysis of Cryptopunks to identify trends, assess value, and support informed investment decisions

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