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.
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
Success stories
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
The latest insights
Business
Company Culture
What it takes to build a production-ready AI solution
When we decided to open up the SmartCat, we had already gained various experience working mostly for outsourcing web development companies. At first, we tried to apply the same processes and steps to build data science solutions. We realized soon enough that this would be a learning journey and we needed to adjust our way […]
|
Sep 20, 2024
AIDA
Cloud
8 common challenges of AI adoption and how to solve them in one month
Before your organization adopts AI, it needs a data strategy. Yet, only 32% of companies have it, which is concerning. Download our whitepaper to find out more about AIDA from a technical perspective or schedule a demo with our business analyst. At the very least, you’d get a feeling there are simple solutions to seemingly complex problems.
|
Apr 25, 2023
Business
Data Science
Are you ready for AI?
Data analytics is changing our world in unprecedented ways, driving new products, business models, and breakthroughs in every industry. Machine learning helps companies act strategically on the data they have, homing in on the insights with impact, and allows executives to make much better-informed decisions.
|
May 30, 2021