Business Intelligence

Modern Business Intelligence is about cutting through the noise to find the signals that matter. We help you transform your data into a clear, accessible, and actionable resource, empowering your teams to stop guessing and start making decisions with confidence

A modern strategy

Static dashboards aren't enough anymore. We turn your data into a dynamic asset that drives decisions and fuels growth with AI & BI.

Infusing AI into Business Intelligence

With this synergy you're planning instead of reacting. Your organization stops waiting for answers and starts anticipating opportunities, turning data into action.

Self-service analytics

Conversational Analytics transforms how users interact with data. We are moving from complex dashboards to intuitive data agents that you can converse with in natural language.

Embedded Analytics

Data insights should be where decisions are made. Embedded Analytics seamlessly integrates BI capabilities directly into your existing applications and workflows

How to drives real-world value

Modern BI is not just about technology, it's about driving tangible business outcomes. By embedding AI-powered analytics into the daily workflows of your teams, we can unlock significant value across your organization

For executive leadership

Ask your Business Intelligence assistant for a summary of the weekly sales performance, top-performing regions, or the status of key projects and get an immediate, synthesized response.

For operations

Proactively be alerted when anomalies are detected. Conversational Analytics can help your team quickly query data in real-time.

For e-commerce managers

Self-service analytics allows your team to easily create their own reports and answer questions about the customer journey.

Solutions in practice

Software & Technology

From a licensed BI tool to a tailored, cost-effective open-source analytics platform

Capmo needed to replace their existing licensed BI platform with an open-source data visualization tool that could integrate directly into their website and better match their business needs. Astrafy managed the full dashboard migration to Apache Superset, proactively identifying UX and functional improvements to ensure the new platform met their users' analytical requirements.

Our process

A partnership approach

We partner with you to build a future-proof solution that is tailored to your unique needs.

Discovery and strategy

Effective BI starts with a deep understanding of your needs. Our process is designed to be focused on delivering value at every stage

Building the semantic layer

We create a shared understanding that powers explainable, trustworthy AI and turns fragmented data into consistent, actionable insights across the organization

Agile development and Implementation

We follow an agile methodology to develop and implement your solution.

Enablement and adoption

To empower your teams to effectively use and interpret your data, ensuring that your initiatives drive lasting value and adoption

Our preferred stack

No single tool fits every situation. We recommend based on your use case, governance requirements, and what your team can actually maintain.

Looker

dbt

Data Studio

Superset

Metabase

Embeddable

Cube

Conversational Analytics

Meet your new AI data analyst

The evolution of Business Intelligence is taking its most significant leap forward. We are moving beyond dashboards and self-service reports into a new era where every user can have a dedicated data analyst at their fingertips.

A data agent is a proactive, AI-powered entity designed to be your partner in data exploration. It can perform multi-step analysis, generate visualizations on the fly, and even monitor your data to proactively alert you to important changes. Following our approach, we deliver this capability using powerful tools like Looker and Gemini Enterprise to build an analyst tailored for your business.

Our resources

Discover our latest articles, webinars and insights.

Facing data challenges or not getting the most out of AI?

Facing data challenges or not getting the most out of AI?

Facing data challenges or not getting the most out of AI?