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data intelligence platforms

Transform your business with data intelligence platforms

Expert implementation of enterprise-grade data platforms that turn your data into value and make your organization AI-ready fast.

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It all starts with data.

It’s possible to avoid costly data challenges.

Today’s businesses face increasingly complex data challenges that traditional solutions can’t solve efficiently.

Lack of unified data source

Data is scattered across multiple sources, stored in incompatible formats, and difficult to access.

Too much time wasted on analysis

Teams spend weeks preparing data for analysis, while business opportunities slip away.

Silos increase complexity

Legacy systems and siloed solutions only increase complexity. Security and governance become afterthoughts.

Unstructured data slows you down.

And when you’re finally ready for AI experiments, when you finally wish to make use of business intelligence tools and gain valuable insights that move the needle… You realize your data isn’t ready.

Data warehouse + data lake

Introducing the AIDA data lakehouse methodology

Finally, a way to quickly implement and use data intelligence platforms in your company.
Our goal is to solve the most common and complex data challenges that prevent your organization from AI adoption and using data for business intelligence.

•AIDA brings together the most advantageous aspects of the two most commonly used data infrastructure systems – Data Warehouse and Data Lake.

•From a Data Lake perspective, it allows for collecting and working with both structured and unstructured data in various data formats, and relies on a scalable and cost effective data storage.
From a Data Warehouse perspective, AIDA offers an unified and structured access to all data.

Benefits of a lakehouse

Get the best out of two worlds

Get a unified data source, structured data, and impenetrable security at one place.

Unified data operations

Connect and process data from any source through a single platform.

Lakehouse architecture

Combine the flexibility of data lakes with the structure of warehouses.

MLOps and AI ready

Build, deploy, and manage machine learning models at scale.

Governance and security

Enterprise-grade security with granular access controls.

A 3-step flow

The process of AIDA Lakehouse implementation

Our extensive experience in lakehouse implementation allows you to extract value from AIDA quite fast, without unnecessary downtimes or complex back and forth. Through carefully designed sessions and structured iterations, we’ll guide you smoothly through the process, while integrating in your usual way of doing business.

Discovery & Design

Impact mapping through workshops
Requirements analysis
Architecture design
Data source evaluation

MVP Implementation

Core infrastructure setup
Initial data source integration
Quick wins identification
Value demonstration

Full Implementation

Complete data source integration
Process automation
Team enablement
Continuous optimization

4 key advantages

Discover the core benefits of AIDA

Apart from being your unified data source, AIDA creates remarkable benefits in crucial business areas as well.

Achieve cost efficiency

30x reduced storage and processing costs

Gain value quickly

Time-to-insight reduced from weeks to hours

Analyze data in no time

Real-time reporting capabilities

Track value through time

Complete historical data access

Technology ecosystem

Discover the full tech stack that AIDA is built upon.

Platform Foundation

Core Technologies: • Databricks Lakehouse • Delta Lake • Unity Catalog
Optional Extensions: • AWS Native Services • GCP Native Services

Data Processing

Core Technologies: • Apache Spark • Databricks Photon • MLflow
Optional Extensions: • Apache Flink • dbt • Airflow

Storage & Compute

Core Technologies: • Delta Lake • Apache Parquet • Databricks Runtime
Optional Extensions: • Cloud Storage (S3/GCS) • Databricks Serverless

Analytics & BI

Core Technologies: • Databricks SQL • PowerBI • Looker
Optional Extensions: • Tableau • Apache Superset

Governance & Security

Core Technologies: • Unity Catalog • Databricks Security • IAM
Optional Extensions: • Privacera • Okta

Infrastructure

• Terraform • Databricks Workflows • CI/CD

Data Lakehouse Implementation in Telecommunication

Using Data Lakehouse to rapidly scale an MVP into a corporate-level Data Analytics software.

Data Lakehouse System Implementation for a Video Streaming Platform

Data Lakehouse System for solving client’s visibility challenges in user behavior and content performance, enabling the client to leverage the full potential and power of existing data.

Operational Efficiency in Urban Cleaning / Data Lakehouse

EU enterprise, construction and industrial company, enhancing environmental responsibility and operational efficiency in urban cleaning

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